Publications

Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models
Contrastive Analysis (CA) detects anomalies by contrasting patterns unique to a target group (e.g., unhealthy subjects) from those in a …
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TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones
In deep learning, the conventional transfer learning paradigm involves fine-tuning a model pre-trained on a complex source task to …
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Capsule networks do not need to model everything
Capsule networks are biologically inspired neural networks that group neurons into vectors called capsules, each explicitly …
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Anatomical foundation models for brain MRIs
Deep Learning (DL) in neuroimaging has become increasingly relevant for detecting neurological conditions and neurodegenerative …
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WiGNet: Windowed Vision Graph Neural Network
In recent years, Graph Neural Networks (GNNs) have demonstrated strong adaptability to various real-world challenges, with …
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Unsupervised Learning of Unbiased Visual Representations
Deep neural networks often struggle to learn robust representations in the presence of dataset biases, leading to suboptimal …
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STanH: Parametric Quantization for Variable Rate Learned Image Compression
In end-to-end learned image compression, encoder and decoder are jointly trained to minimize a R + λ D cost function, where λ controls …
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Say My Name: a Model’s Bias Discovery Framework
Due to the broad applicability of deep learning to downstream tasks and end-to-end training capabilities in the last few years, …
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Robust and efficient airplane cockpit video coding leveraging temporal redundancy
Airplane cockpit screens consist of virtual instruments where characters, numbers, and graphics are overlaid on a black or natural …
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Multi-target Stain Normalization for Histology Slides
Traditional staining normalization approaches, e.g. Macenko, typically rely on the choice of a single representative reference image, …
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Efficient Progressive Image Compression with Variance-Aware Masking
Learned progressive image compression is gaining momentum as it allows improved image reconstruction as more bits are decoded at the …
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Efficient Federated Model Aggregation through Neural Velocity
Aggregation methods in Federated Learning (FL) play a fundamental role in the performance and convergence of the global model. In this …
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Detection of subclinical atherosclerosis by image-based deep learning on chest X-ray
Aims To develop a deep-learning-based system for recognition of subclinical atherosclerosis on a plain frontal chest X-ray. Methods and …
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Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates
Efficient compression of low-bit-rate point clouds is critical for bandwidth-constrained applications. However, existing techniques …
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Character recognition in Byzantine seals with deep neural networks
Seals are small coin-shaped artifacts, mostly made of lead, held with strings to seal letters. This work presents the first attempt …
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AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data
Accurately predicting pedestrian trajectories is crucial in applications such as autonomous driving or service robotics, to name a few. …
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Towards One-Shot PCB Component Detection with YOLO
Consumer electronic devices such as smartphones, TV sets, etc. are designed around printed circuit boards (PCBs) with a large number of …
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High capacity reversible data hiding in radiographic images with optimal bit allocation
This paper extends and improves the performance of a digital reversible watermarking algorithm based on histogram shifting presented in …
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GABIC: GRAPH-BASED ATTENTION BLOCK FOR IMAGE COMPRESSION
While standardized codecs like JPEG and HEVC-intra represent the industry standard in image compression, neural Learned Image …
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Domain Adaptation for Learned Image Compression with Supervised Adapters
In Learned Image Compression (LIC), a model is trained at encoding and decoding images sampled from a source domain, often …
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Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings
In this paper, we present the significant results from the Covid Radiographic imaging System based on AI (Co.R.S.A.) project, which …
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COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge
COVID-19 analysis from medical imaging is an important task that has been intensively studied in the last years due to the spread of …
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Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups
Background: Artificial intelligence (AI) has shown promise in the early detection of various cardiac conditions from a standard 12-lead …
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Analysing the social network dynamics of dairy cows with computer vision
The structured social hierarchies and individual social bonds within dairy cows’ groups significantly influence their welfare and …
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ALICE: Adapt your Learnable Image Compression modEl for variable bitrates
When training a Learned Image Compression model, the loss function is minimized such that the encoder and the decoder attain a target …
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AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation
In this paper, we present the major results from the Covid Radiographic imaging System based on AI (Co.R.S.A.) project, which took …
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A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection
Malaria is an endemic in various tropical countries. The gold standard for disease detection is to examine the blood smears of patients …
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A computer vision approach for the automatic detection of social interactions of dairy cows in automatic milking systems
The integration of digital technologies and Artificial Intelligence (DT&AI) in veterinary practice is one of the key topics to …
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UNBIASED SUPERVISED CONTRASTIVE LEARNING
Many datasets are biased, namely they contain easy-to-learn features that are highly correlated with the target class only in the …
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Study of historical Byzantine seal images: the BHAI project for computer-based sigillography
BHAI 1 (Byzantine Hybrid Artificial Intelligence) is the first project based on artificial intelligence dedicated to Byzantine seals. …
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Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets
Deep neural networks have become the de-facto standard across various computer science domains. Nonetheless, effectively training these …
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Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke
Objective: In this study, we investigate whether a Convolutional Neural Network (CNN) can generate informative parametric maps from the …
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Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging
Deep Learning (DL) has become one of the predominant tools for solving a variety of issue, often with superior performance compared to …
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Disentangling private classes through regularization
Deep learning models are nowadays broadly deployed to solve an incredibly large variety of tasks. However, little attention has been …
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DelBERTo: A Deep Lightweight Transformer for Sentiment Analysis
This article introduces DelBERTo, a resource-efficient Transformer architecture for Natural Language Processing (NLP). Transformers …
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Artificial intelligence methods for biomedical imaging and omics data
The use of deep learning in biomedical imaging and omics data has shown great potential for enhancing medical diagnosis and improving …
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A round-trip journey in pruned artificial neural networks
In the last decade, deep learning models competed for performance at the price of tremendous computational costs. Such a critical …
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A Learnable EVC Intra Predictor Using Masked Convolutions
The Enhanced Video Coding (EVC) workgroup of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) organization …
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A Differentiable Entropy Model for Learned Image Compression
In an end-to-end learned image compression framework, an encoder projects the image on a low-dimensional, quantized, latent space while …
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UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans
Lung cancer has emerged as a major causes of death and early detection of lung nodules is the key towards early cancer diagnosis and …
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TOWARDS EFFICIENT CAPSULE NETWORKS
From the moment Neural Networks dominated the scene for image processing, the computational complexity needed to solve the targeted …
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To update or not to update? Neurons at equilibrium in deep models
Recent advances in deep learning optimization showed that, with some a-posteriori information on fully-trained models, it is possible …
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The DeepHealth toolkit: A key European free and open-source software for deep learning and computer vision ready to exploit heterogeneous HPC and cloud architectures
At the present time, we are immersed in the convergence between Big Data, High-Performance Computing and Artificial Intelligence. …
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SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks
Deep neural networks include millions of learnable parameters, making their deployment over resource-constrained devices problematic. …
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Online Learning for Adaptive Video Streaming in Mobile Networks
In this paper, we propose a novel algorithm for video bitrate adaptation in HTTP Adaptive Streaming (HAS), based on online learning. …
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Lung Nodules Segmentation with DeepHealth Toolkit
The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field …
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LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks
LOBSTER (LOss-Based SensiTivity rEgulaRization) is a method for training neural networks having a sparse topology. Let the sensitivity …
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Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images
Colorectal cancer is a leading cause of cancer death for both men and women. For this reason, histo-pathological characterization of …
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Deep Regression by Feature Regularization for COVID-19 Severity Prediction
During the COVID-19 worldwide pandemic, CT scan emerged as one of the most precise tool for identification and diagnosis of affected …
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Deep motion-compensation enhancement in video compression
This work introduces the multiframe motion-compensation enhancement network (MMCE-Net), a deep-learning tool aimed at improving the …
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Applications of AI and HPC in the Health Domain
This chapter presents the applications of artificial intelligence (AI) and high-computing performance (HPC) in the health domain, …
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AI-Based Media Coding Standards
Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) is the first standards organization to develop data coding …
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A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
Thanks to the rapid increase in computational capability during the latest years, traditional and more explainable methods have been …
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UNITOPATHO, A LABELED HISTOPATHOLOGICAL DATASET FOR COLORECTAL POLYPS CLASSIFICATION AND ADENOMA DYSPLASIA GRADING
Histopathological characterization of colorectal polyps allows to tailor patients’ management and follow up with the ultimate aim of …
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ON THE ROLE OF STRUCTURED PRUNING FOR NEURAL NETWORK COMPRESSION
This works explores the benefits of structured parameter pruning in the framework of the MPEG standardization efforts for neural …
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On the robustness of three classes of rateless codes against pollution attacks in P2P networks
Rateless codes (a.k.a. fountain codes, digital fountain) have found their way in numerous peer-to-peer based applications although …
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Malicious Node Identification in Coded Distributed Storage Systems under Pollution Attacks
In coding-based distributed storage systems (DSSs), a set of storage nodes (SNs) hold coded fragments of a data unit that collectively …
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Learnable Descriptors for Visual Search
This work proposes LDVS, a learnable binary local descriptor devised for matching natural images within the MPEG CDVS framework. LDVS …
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Hybrid dual stream blender for wide baseline view synthesis
Free navigation of a scene requires warping some reference views to some desired target viewpoint and blending them to synthesize a …
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HEMP: High-order entropy minimization for neural network compression
We formulate the entropy of a quantized artificial neural network as a differentiable function that can be plugged as a regularization …
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End: Entangling and Disentangling deep representations for bias correction
Artificial neural networks perform state-of-the-art in an ever-growing number of tasks, and nowadays they are used to solve an …
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Capsule Networks with Routing Annealing
Capsule Networks overcome some shortcomings of convolutional neural networks organizing neurons into groups of capsules. Capsule layers …
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Bridging the gap between debiasing and privacy for deep learning
The broad availability of computational resources and the recent scientific progresses made deep learning the elected class of …
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Unveiling COVID-19 from chest x-ray with deep learning: A hurdles race with small data
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much …
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Real-time object detection and tracking in mixed reality using Microsoft HoloLens
This paper presents a mixed reality system that, using the sensors mounted on the Microsoft Hololens headset and a cloud service, …
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Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima
Recently, a race towards the simplification of deep networks has begun, showing that it is effectively possible to reduce the size of …
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No-reference quality metric for HEVC compression distortion estimation in depth maps
Multiview video plus depth (MVD) is the most popular 3D video format due to its efficient compression and provision for novel view …
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Graph Laplacian for image anomaly detection
Reed–Xiaoli detector (RXD) is recognized as the benchmark algorithm for image anomaly detection; however, it presents known …
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DR2S: Deep regression with region selection for camera quality evaluation
In this work, we tackle the problem of estimating a camera capability to preserve fine texture details at a given lighting condition. …
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Delving in the loss landscape to embed robust watermarks into neural networks
In the last decade the use of artificial neural networks (ANNs) in many fields like image processing or speech recognition has become a …
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A non-discriminatory approach to ethical deep learning
Artificial neural networks perform state-of-the-art in an ever-growing number of tasks, nowadays they are used to solve an incredibly …
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Virtual hand illusion: The alien finger motion experiment
In Virtual Reality, the need to understand how subjects perceive their representation is gaining attention and importance. We present a …
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Very Low Bitrate Semantic Compression of Airplane Cockpit Screen Content
This paper addresses the problem of encoding the video generated by the screen of an airplane cockpit. As other computer screens, …
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Vehicle joint make and model recognition with multiscale attention windows
Vehicle Make and Model Recognition (VMMR) deals with the problem of classifying vehicles whose appearance may vary significantly when …
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Take a ramble into solution spaces for classification problems in neural networks
Solving a classification problem for a neural network means looking for a particular configuration of the internal parameters. This is …
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Securing network coding architectures against pollution attacks with band codes
During a pollution attack, malicious nodes purposely transmit bogus data to the honest nodes to cripple the communication. Securing the …
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Robust license plate recognition using neural networks trained on synthetic images
In this work, we describe a License Plate Recognition (LPR) system designed around convolutional neural networks (CNNs) trained on …
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Robust gait identification using Kinect dynamic skeleton data
Gait has been recently proposed as a biometric feature that, with respect to other human characteristics, can be captured at a distance …
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Post-synaptic Potential Regularization Has Potential
Improving generalization is one of the main challenges for training deep neural networks on classification tasks. In particular, a …
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Learning and adapting robust features for satellite image segmentation on heterogeneous data sets
This paper addresses the problem of training a deep neural network for satellite image segmentation so that it can be deployed over …
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Exploiting View synthesis for super-multiview video compression
Super-multiview video consists in a 2D arrangement of cameras acquiring the same scene and it is a well-suited format for immersive and …
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Estimation of speed and distance of surrounding vehicles from a single camera
Deep Learning requires huge amount of data with related labels, that are necessary for proper training. Thanks to modern videogames, …
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Enhancing HEVC Spatial Prediction by Context-based Learning
Deep generative models have been recently employed to compress images, image residuals or to predict image regions. Based on the …
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Cockpit Video Coding with Temporal Prediction
Recording an airplane cockpit screen is a challenging task since video codecs hardly preserve text details at the low bitrates required …
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BUILDING FOOTPRINT EXTRACTION FROM VHR SATELLITE IMAGERY USING A DEEP LEARNING APPROACH
Updated reference cartographic datasets are one of the main input data sources in several application domains requiring spatial …
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Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations
The wavefront pattern captures the unfolding of a parallel computation in which data elements are laid out as a logical …
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A Hybrid Approach to Wide Baseline View Synthesis with Convolutional Neural Networks
Convolutional Neural Networks (CNN) have been recently employed for implementing complete end-to-end view synthesis architectures, from …
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Semi-automatic segmentation of scattered and distributed objects
This paper presents a novel object segmentation technique to extract objects that are potentially scattered or distributed over the …
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Satellite image segmentation with deep residual architectures for time-critical applications
We address the problem of training a convolutional neural network for satellite images segmentation in emergency situations, where …
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Learning sparse neural networks via sensitivity-driven regularization
The ever-increasing number of parameters in deep neural networks poses challenges for memory-limited applications. Regularize-and-prune …
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GPU-accelerated algorithms for compressed signals recovery with application to astronomical imagery deblurring
Compressive sensing promises to enable bandwidth-efficient on-board compression of astronomical data by lifting the encoding complexity …
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Feature fusion for robust patch matching with compact binary descriptors
This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe …
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Evaluating virtual image quality using the side-views information fusion and depth maps
Three Dimensional (3D) image quality assessment is a challenging problem as compared to 2D images due to their different nature of …
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DOST: a distributed object segmentation tool
This paper presents a novel distributed object segmentation framework that allows one to extract potentially large coherent objects …
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Detection and Tracking of Astral Microtubules in Fluorescence Microscopy Images
In this paper we explore detection and tracking of astral micro-tubules, a sub-population of microtubules which only exists during and …
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Convolutional neural network for intermediate view enhancement in multiview streaming
Multiview video streaming continues to gain popularity due to the great viewing experience it offers, as well as its availability that …
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CDVSec: Privacy-preserving biometrical user authentication in the cloud with CDVS descriptors
We explore the use of CDVS-compressed SIFT descriptors for user authentication via fingerprint matching over the cloud. Previous …
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Securing coding-based cloud storage against pollution attacks
The widespread diffusion of distributed and cloud storage solutions has changed dramatically the way users, system designers, and …
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Perceptual quality assessment of 3D synthesized images
Multiview video plus depth (MVD) is the most popular 3D video format where the texture images contain the color information and the …
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Kinect-Based Gait Analysis for People Recognition Over Time
Gait has recently attracted a great interest in the biometric field because, contrary to other classical biometric traits such as …
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Fine-grained vehicle classification using deep residual networks with multiscale attention windows
Fine-grained vehicle classification is a challenging task due to the subtle differences between vehicle classes. Several successful …
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Efficient representation of segmentation contours using chain codes
Segmentation is one of the most important low-level tasks in image processing as it enables many higher level computer vision tasks …
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Directional graph weight prediction for image compression
Graph-based models have recently attracted attention for their potential to enhance transform coding image compression thanks to their …
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Automatic License Plate recognition with Convolutional Neural Networks trained on synthetic data
We present an Automatic License Plate Recognition system designed around Convolutional Neural Networks (CNNs) and trained over …
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Kinect-based gait analysis for automatic frailty syndrome assessment
Smart living and well aging represent key challenges for our society. The precursor state of adverse outcomes that characterize aging …
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Image de-fencing framework with hybrid inpainting algorithm
Detection and removal of fences from digital images become essential when an important part of the scene turns to be occluded by such …
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Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions
In this paper we explore the application of anomaly detection techniques to tumor voxels segmentation. The developed algorithms work on …
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Characterization of Band Codes for Pollution-Resilient Peer-To-Peer Video Streaming
We provide a comprehensive characterization of band codes (BC) as a resilient-by-design solution to pollution attacks in network coding …
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Superpixel-driven graph transform for image compression
Block-based compression tends to be inefficient when blocks contain arbitrary shaped discontinuities. Recently, graph-based approaches …
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Simple countermeasures to mitigate the effect of pollution attack in network coding-based peer-to-peer live streaming
Network coding (NC)-based peer-to-peer (P2P) streaming represents an effective solution to aggregate user capacities and to increase …
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Retransmission strategies for optimized JPEG 2000 image transmission in wireless environment
Transmission of images and video over lossy packet networks is known to pose severe technical challenges; FEC and ARQ are often used to …
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Pollution-resilient peer-to-peer video streaming with Band Codes
Band Codes (BC) have been recently proposed as a solution for controlled-complexity random Network Coding (NC) in mobile applications, …
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Panorama view with spatiotemporal occlusion compensation for 3D video coding
The future of novel 3D display technologies largely depends on the design of efficient techniques for 3D video representation and …
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Objective quality metric for 3D virtual views
In free-viewpoint television (FTV) framework, due to hardware and bandwidth constraints, only a limited number of viewpoints are …
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High capacity reversible data hiding and content protection for radiographic images
The watermarking of digital images has an important role in the protection of digital content with respect to many aspects. In this …
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Fast Superpixel-Based hierarchical approach to image segmentation
Image segmentation is one of the core task in image processing. Traditionally such operation is performed starting from single pixels …
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Exploiting Rateless Codes in Cloud Storage Systems
Block-level cloud storage (BLCS) offers to users and applications the access to persistent block storage devices (virtual disks) that …
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Device-to-device content distribution in cellular networks: A user-centric collaborative strategy
In this paper device-to-device (D2D) communication is proposed as a tool for enhancing the services provided by mobile cellular …
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Blind depth quality assessment using histogram shape analysis
Multiview videos plus depth (MVD) is a popular 3D video representation where pixel depth information is exploited to generate …
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Shot-based object retrieval from video with compressed Fisher Vectors
This paper addresses the problem of retrieving those shots from a database of video sequences that match a query image. Existing …
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Rateless codes and random walksfor P2P resource discovery in grids
Peer-to-peer (P2P) resource location techniques in grid systems have been recently investigated to obtain scalability, reliability, …
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Human classification using gait features
Gait exhibits several advantages with respect to other biometrics features: acquisition can be performed through cheap technology, at a …
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Exploiting rateless codes and belief propagation to infer identity of polluters in MANET
In this paper, we consider a scenario where nodes in a MANET disseminate data chunks using rateless codes. Any node is able to …
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Edge enhancement of depth based rendered images
Depth image based rendering is a well-known technology for the generation of virtual views in between a limited set of views acquired …
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Distributed scheduling for low-delay and loss-resilient media streaming with network coding
Network coding (NC) has been shown to be very effective for collaborative media streaming applications. A pivotal issue in media …
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DIP: Distributed identification of polluters in P2P live streaming
Peer-to-peer live streaming applications are vulnerable to malicious actions of peers that deliberately modify data to decrease or …
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Demonstrating the new compact descriptors for visual search (CDVS) standard for image retrieval on mobile devices
The MPEG CDVS (Compact Descriptors for Visual Search) standard promises to enable effective, bandwidth-efficient, image matching and …
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Band codes for energy-efficient network coding with application to P2P mobile streaming
A key problem in network coding (NC) lies in the complexity and energy consumption associated with the packet decoding processes, which …
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Automatic method for tumor segmentation from 3-points dynamic PET acquisitions
In this paper a novel technique to segment tumor voxels in dynamic positron emission tomography (PET) scans is proposed. An innovative …
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A panoramic 3D video coding with directional depth aided inpainting
The success of 3D and free-viewpoint television largely depends on the efficient representation and compression of 3D video in addition …
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PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery
We present PISTA, a GPU-accelerated Iterative Soft Thresholding (IST) algorithm for sparse image recovery in Compressive Sensing …
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Identification of malicious nodes in peer-to-peer streaming: A belief propagation-based technique
Peer-to-peer streaming has witnessed a great success thanks to the possibility of aggregating resources from all participants. …
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Gait characterization using dynamic skeleton acquisition
Human gait is an important biometric feature for automatic people recognition. Biometric methodologies are generally intrusive and …
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Feedback-driven network coding for cooperative video streaming
In this work, we propose a feedback scheme to drive the packet recombination process at the network nodes in a collaborative Network …
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Edges shape enforcement for visual enhancement of depth image based rendering
Depth image based rendering of intermediate views with high visual quality remains a challenging goal in presence of estimated and …
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Distributed scheduling for scalable P2P video streaming with Network Coding
Previous research has shown the benefits of random-push Network Coding (NC) for P2P video streaming. On the other hand, scalable video …
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Distributed scheduling for scalable P2P video streaming with network coding
Previous research has shown the benefits of random-push Network Coding (NC) for P2P video streaming. On the other hand, scalable video …
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Distributed scheduling for P2P IPTV with low-delay network coding
This paper presents a distributed push-based packet scheduling algorithm for Peer-to-Peer (P2P) IPTV streaming with Network Coding (NC) …
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Distributed media-aware scheduling for P2P streaming with Network Coding
We present a distributed packet scheduling scheme for pushbased Peer-to-Peer (P2P) video streaming with Network Coding (NC) over …
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Depth image based rendering with inverse mapping
Three-dimensional video has gained much attention during the last decade due its vast applications in cinema, television, animation and …
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A practical Random Network Coding scheme for data distribution on peer-to-peer networks using rateless codes
In this paper, we propose a practical Random Network Coding (RNC) scheme for data distribution in a peer-to-peer (P2P) overlay network. …
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Towards a P2P videoconferencing system based on low-delay network coding
We present ToroStream, our P2P video streaming protocol designed around Network Coding (NC), and we investigate its applicability to …
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SIEVE: A distributed, accurate, and robust technique to identify malicious nodes in data dissemination on MANET
In this paper we consider the following problem: nodes in a MANET must disseminate data chunks using rateless codes but some nodes are …
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Collaborative data retrieval using opportunistic networking
In this paper we consider mobile nodes (pedestrian and vehicles) and fixed terminals in a urban area that are interested in collecting …
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Band codes: Controlled complexity network coding for peer-to-peer video streaming
We present Band Codes (BC), a novel class of rate less codes that makes possible to control the computational complexity of Network …
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An HTML5 player for a gstreamer based MPEG DASH client
The proposed demo shows how a streaming client compliant with MPEG DASH [1] standard and developed using a GStreamer media framework …
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An adaptive hybrid CDN/P2P solution for Content Delivery Networks
Streaming services have grown rapidly in the last few years and providers of video on-demand, such as Netflix or YouTube, are …
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A study of an hybrid CDN-P2P system over the PlanetLab network
In this work we propose an hybrid CDN-P2P architecture for video contents delivery based on the NextShare platform. Experiments were …
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A novel interpolation method for 3D view synthesis
In this paper a novel intermediate view synthesis algorithm for 3D video rendering is presented. The proposal is based on the …
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Transparent encryption techniques for H.264/AVC and H.264/SVC compressed video
Transparent encryption of video content requires to provide a video preview that is left in plaintext, while the enhancement …
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Tile format: A novel frame compatible approach for 3D video broadcasting
The success of the 3D TV broadcasting service largely depends on the technical, economical and user experience aspects. Nevertheless, …
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Local data gathering using opportunistic networking in a urban scenario
Opportunistic networking based on hand-held mobile devices is turning into a viable and efficient opportunity to locate, collect, route …
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ENIGMA: Distributed virtual disks for cloud computing
We propose ENIGMA, a distributed infrastructure that provides Cloud Computing infrastructures with virtual disks by abstracting the …
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Complexity-adaptive random network coding for peer-to-peer video streaming
We present a novel architecture for complexity-adaptive Random Network Coding (RNC) and its application to Peer-to-Peer (P2P) video …
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An optimal partial decoding algorithm for rateless codes
Rateless codes are designed to decode all the input symbols when a certain number of coded symbols have been received. However, it is …
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A game theory framework for ISP streaming traffic management
The overlay/underlay topology mismatch affects the performance of existing P2P platforms that can generate large volumes of unnecessary …
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TURINstream: A totally pUsh, robust, and effIcieNt P2P video streaming architecture
This paper presents TURINstream, a novel P2P video streaming architecture designed to jointly achieve low delay, robustness to peer …
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Sliding-Window raptor codes for efficient scalable wireless video broadcasting with unequal loss protection
Digital fountain codes have emerged as a low-complexity alternative to ReedSolomon codes for erasure correction. The applications of …
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Security applications of distributed arithmetic coding
Distributed arithmetic coding (DAC) has recently been proposed for compression in the Slepian-Wolf setting. With respect to syndrome …
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Popularity-aware rate allocation in multi-view video
We propose a framework for popularity-driven rate allocation in H.264/MVC-based multi-view video communications when the overall rate …
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P2P streaming with LT codes: A prototype experimentation
In this work rateless codes are used as the key content delivery mechanism for the design of a novel P2P live streaming application. …
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Local access to sparse and large global information in P2P networks: A case for compressive sensing
In this paper we face the following problem: how to provide each peer local access to the full information (not just a summary) that is …
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Fountains vs torrents: The P2P ToroVerde protocol
In this paper we present ToroVerde, a novel pushbased peer-to-peer (P2P) content distribution application exploiting the digital …
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Distributed joint source-channel arithmetic coding
We address distributed source coding with decoder side information, when the decoder observes the source through a noisy channel. …
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Content-adaptive traffic prioritization of spatio-temporal scalable video for robust communications over QoS-provisioned 802.11e networks
In this work a low complexity traffic prioritization strategy to transmit H.264 scalable video coding (SVC) video over 802.11e wireless …
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BitTorrent and fountain codes: Friends or foes?
BitTorrent is the most popular file sharing protocol on the Internet. It is proved that its performance are nearoptimal for generic …
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Seacast: A protocol for peer-to-peer video streaming supporting multiple description coding
SEACAST is a peer-to-peer live streaming protocol developed at Politecnico di Torino, which aims at improving current systems in two …
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Rateless codes network coding for simple and efficient P2P video streaming
The goal of this paper is the development of network coding solutions able to improve the performance of video streaming applications …
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Rate-distortion optimized H.264/MVC video communications over QoS-enabled networks
This paper presents a rate-distortion optimized framework for the transmission of stereoscopic H.264/MVC video on QoS-enabled networks. …
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On the fly Gaussian Elimination for LT codes
We propose an improved algorithm for decoding LT codes using Gaussian Elimination. Our algorithm performs useful processing at each …
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High-performance h.264/svc video communications in 802.11e ad hoc networks
This work focuses on improving the performance of video communications based on the recently developed H.264 Scalable Video Coding …
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Distributed arithmetic coding for the Slepian-Wolf problem
Distributed source coding schemes are typically based on the use of channels codes as source codes. In this paper we propose a new …
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Content-adaptive robust H.264/SVC Video communications over 802.11e networks
In this paper we present a low-complexity traffic prioritization strategy for video transmission using the H.264 scalable video coding …
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Analysis of PPLive through active and passive measurements
The P2P-IPTV is an emerging class of Internet applications that is becoming very popular. The growing popularityof these rather …
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A technique for blood detection in wireless capsule endoscopy images
Wireless capsule endoscopy is an innovative technology for visualizing anomalies in the gastrointestinal tract, useful to replace …
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Traffic prioritization of H.264/SVC video over 802.11e ad hoc wireless networks
The H.264/SVC video codec extends the H.264/AVC standard with scalability features. In this paper we introduce a traffic prioritization …
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Redundant slice optimal allocation for H.264 multiple description coding
In this paper, a novel H.264 multiple description technique is proposed. The coding approach is based on the redundant slice …
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Rate-compatible distributed arithmetic coding
Distributed arithmetic coding has been shown to be effective for Slepian-Wolf coding with side information. In this letter, we extend …
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Decoder-driven adaptive distributed arithmetic coding
We propose a distributed source coding system for data collected by sensor networks. It uses a feedback channel between the sensors and …
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Symmetric distributed arithmetic coding of correlated sources
We propose a new scheme for symmetric Slepian-Wolf coding of correlated binary sources. Unlike previous designs that employ …
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Sliding-window digital fountain codes for streaming of multimedia contents
Digital fountain codes are becoming increasingly important for multimedia communications over networks subject to packet erasures. …
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On modeling mismatch errors induced by different quantizers
In this letter, the mismatch error due to the replacement of a fine with a coarse quantizer is considered, and an analytical model is …
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Multiple description image coding based on Lagrangian rate allocation
In this paper, a novel multiple description coding technique is proposed, based on optimal Lagrangian rate allocation. The method …
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Joint source, channel coding, and secrecy
We introduce the concept of joint source coding, channel coding, and secrecy. In particular, we propose two practical joint schemes: …
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Iterative decoding of serially concatenated arithmetic and channel codes with JPEG 2000 applications
In this paper, an innovative joint-source channel coding scheme is presented. The proposed approach enables iterative soft decoding of …
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H.264 multiple description coding based on redundant picture representation
In this paper a novel H.264 multiple description technique is proposed. The coding approach is based on the redundant slice …
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Distributed arithmetic coding
We propose a distributed binary arithmetic coder for Slepian-Wolf coding with decoder side information, along with a soft joint …
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Conditional access to H.264/AVC video by means of redundant slices
In this paper a novel conditional access scheme for the distribution of H.264/AVC video is presented. The algorithm permits to cypher …
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Scalable image retrieval from distributed images database
In order to store, and retrieve images from large databases, we propose a framework, based on multiple description coding paradigm, …
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Near-lossless distributed coding of hyperspectral images using a statistical model for probability estimation
In this paper we propose an algorithm for near-lossless compression of hyperspectral images based on distributed source coding (DSC). …
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Multimedia selective encryption by means of randomized arithmetic coding
We propose a novel multimedia security framework based on a modification of the arithmetic coder, which is used by most international …
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Implementation and performance evaluation of LT and Raptor codes for multimedia applications
Digital fountains have changed the standard transmission paradigm. A digital fountain can encode and transmit an unlimited number of …
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Error correcting arithmetic coding for JPEG 2000: Memory and performance analysis
Entropy coding, and specifically arithmetic codes are particularly sensitive to bit errors. Indeed, due to the memory inherent to the …
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Conditional access to H.264/AVC video with drift control
In this paper we address the problem of providing conditional access to video sequences, namely, to generate a low-quality video to be …
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A syntax-preserving error resilience tool for JPEG 2000 based on error correcting arithmetic coding
JPEG 2000 is the novel ISO standard for image and video coding. Besides its improved coding efficiency, it also provides a few error …
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Joint source/channel coding and MAP decoding of arithmetic codes
In this paper, a novel maximum a posteriori (MAP) estimation approach is employed for error correction of arithmetic codes with a …
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Improved low-complexity intraband lossless compression of hyperspectral images by means of Slepian-Wolf coding
In remote sensing systems, on-board data compression is a crucial task that has to be carried out with limited computational resources. …
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Fast code-rate optimization for robust image transmission over lossy packet networks
In this paper, we propose an efficient method for the allocation of Reed-Solomon codes to source symbols, for unequal loss protection. …
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Context-based distributed wavelet video coding
In this paper a novel scalable video coder, based on the principle of distributed source coding with side information is proposed. …
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Concealment of whole-frame losses for wireless low bit-rate video based on multiframe optical flow estimation
In low bit-rate packet-based video communications, video frames may have very small size, so that each frame fills the payload of a …
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Selective encryption of JPEG 2000 images by means of randomized arithmetic coding
We describe a novel multimedia security framework based on a modification of the arithmetic coder, which is used by most international …
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Reliable JPEG 2000 wireless imaging by means of error-correcting MQ coder
A new error resilience tool is proposed for robust JPEG 2000 imaging over noisy channels. In particular, a modified encoder based on an …
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Multiple description coding with error correction capabilities: An application to Motion JPEG 2000
In the multiple description paradigm, a controllable amount of redundancy is inserted among descriptions, in order to help estimating …
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Joint source-channel iterative decoding of arithmetic codes
In this paper an innovative joint source channel coding scheme is presented. The system is based on iterative soft decoding of …
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Joint despeckling and edge detection of SAR images based on the Mumford-Shah functional
In this paper, we propose a joint despeckling and edge detection algorithm based on the Mumford-Shah functional, which accomplishes the …
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Error resilient MQ coder and map JPEG 2000 decoding
In this paper a novel error resilient MQ coder for reliable JPEG 2000 image delivery is designed. The proposed coder uses a forbidden …
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Ensuring quality of service for image transmission: Hybrid loss protection
We present hybrid loss protection as a new channel coding and packetization scheme for image transmission over nonprioritized lossy …
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A flexible error resilient scheme for JPEG 2000
Nowadays, wireless multimedia applications are experiencing a rapid growth; in this scenario, challenging obstacles, such as packet …
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Spatiotemporal error concealment with optimized mode selection and application to H.264
In this paper we propose an error concealment algorithm for video transmission over lossy packet networks. The proposed technique is …
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Spatio-temporal video error concealment with perceptually optimized mode selection
We propose a spatio-temporal error concealment algorithm for video transmission in an error-prone environment. The proposed technique …
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Robust video transmission over error-prone channels via error correcting arithmetic codes
We propose arithmetic codes (ACs) with a forbidden symbol as a joint entropy coding and error protection tool for robust video …
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Few decoders in the encoder: A low complexity encoding strategy for H.26L
In this paper we propose a reduced complexity technique for the rate-distortion optimization in JVT/H.26L in the presence of packet …
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Error sensitivity data structures and retransmission strategies for robust JPEG 2000 wireless imaging
In this paper we address the problem of JPEG 2000 imaging in a wireless environment. We first define a flexible and efficient data …
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Error correction by means of arithmetic codes: An application to resilient image transmission
In this paper, two novel maximum a posteriori (MAP) estimators for the decoding of arithmetic codes in the presence of transmission …
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Comparison of rate allocation strategies for H.264 video transmission over wireless lossy correlated networks
In this paper we study the problem of transmitting coded video over a UMTS network. We first discuss the statistical characteristics of …
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An error concealment algorithm for streaming video
A known problem in video streaming is that loss of a packet usually results into loss of a whole video frame. In this paper we propose …
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Wavelet kernels on a DSP: A comparison between lifting and filter banks for image coding
We develop wavelet engines on a digital signal processors (DSP) platform, the target application being image and intratrame video …
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Robust and edge-preserving video error concealment by coarse-to-fine block replenishment
In this paper we propose a novel error concealment algorithm for video transmission over wireless networks potentially subject to …
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Rate allocation for video transmission over lossy correlated networks
A novel rate allocation algorithm for video transmission over lossy networks subject to bursty packet losses is presented. A …
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Optimization and implementation of the integer wavelet transform for image coding
This paper deals with the design and implementation of an image transform coding algorithm based on the integer wavelet transform …
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Guaranteeing quality of service for image transmission by means of hybrid loss protection
In the context of joint source and channel coding, unequal loss protection is often used to make image data more robust to possible …
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DSP performance comparison between lifting and filter banks for image coding
The lifting scheme is a very well-known computationally efficient alternative to the filter bank scheme for evaluating the discrete …
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An efficient DSP implementation of a new SAR raw data compression algorithm
A compressor that allows for compression on 2, 3 or 4 bit/sample, useful respectively for topographic monitoring and interferometric …
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An edge and texture preserving algorithm for video error concealment
We present a novel error concealment algorithm for block-based video transmission over error-prone networks. We develop a spatial error …
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Unequal processing gain for JPEG2000 image transmission in a CDMA environment
This paper investigates the error resilience capability of JPEG2000, for image transmission in a DS-CDMA environment. The processing …
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Mixed DSP/FPGA implementation of an error-resilient image transmission system based on JPEG2000
This paper describes a demonstrator of an error-resilient image communication system over wireless packet networks, based on the novel …
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JPEG2000 evaluation for the transmission of remote sensing images on the CCSDS packet telemetry channel
Scientific images collected by a remote platform are preferably transmitted to the ground station in lossless compressed form. However, …
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FPGA power efficient inverse lifting wavelet IP
In this paper a power efficient lifting-based Wavelet transform IP, well suited for mobile and tetherless applications, is proposed. …
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Embedding unequal error protection into turbo codes
In this paper a technique to embody Unequal Error Protection into turbo codes is presented. Through proper optimization of the turbo …
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Efficient common-core lossless and lossy image coder based on integer wavelets
The integer wavelet transform (IWT), applied to lossy-image compression, yields rate-distortion performance which is generally, …
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Q-wave: a flexible and low complexity quadtree wavelet encoder
In this paper, the novel Q-wave algorithm for image coding is proposed. Q-wave, which provides progressive transmission, is designed …
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On the performance of integer wavelets for the lossy compression of smooth images
It is well known that the image compression task can be effectively accomplished by means of the wavelet transform. A new method has …
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Minimally non-linear integer wavelets for image coding
In this paper we deal with the problem of finding high performance factorizations of wavelet filters to be employed within the Lifting …
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Joint denoising and lossless/lossy compression of SAR images
It is known that the performance of the Discrete Wavelet Transform (DWT) decreases when attempting to compress noisy images, and that …
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Finite precision wavelets for image coding: Lossy and lossless compression performance evaluation
This paper investigates the robustness of the wavelet transform, implemented by means of the Lifting Scheme (LS), with respect to …
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A novel low complexity and efficient Progressive Quadtree Wavelet encoder
In this paper the Progressive Quadtree Wavelet (PQW) codec for lossy image compression is presented. PQW is based on the well known …
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Lifting integer wavelets towards linearity
The integer wavelet transform (IWT) is dealt with. For for image compression performance, it is known that the IWT has a worse …
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