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Patrick Le Callet

16 accepted papers

2024

A Real-Time Video Quality Metric for HTTP Adaptive Streaming

ICASSP 2024accepted

In HTTP Adaptive Streaming (HAS), a video is encoded at multiple bitrate-resolution pairs, referred to as representations, which enables users to choose the most suitable representation based on their network connection. To optimize the set of bitrate-resolution pairs and improve the Quality of Expe…

Cited by 0SourceScholar
2024

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy

AAAI 2024technical

The deployment of multi-stream fusion strategy on behavioral recognition from skeletal data can extract complementary features from different information streams and improve the recognition accuracy, but suffers from high model complexity and a large number of parameters. Besides, existing multi-str…

2024

Comparison of Conditions for Omnidirectional Video with Spatial Audio in Terms of Subjective Quality and Impacts on Objective Metrics Resolving Power

ICASSP 2024accepted

Omnidirectional media formats, particularly 360° videos with spatial audio, provide new immersive experiences and introduce a novel dimension to content consumption.We explore the relationship between subjective data quality and metric performance evaluation in the context of Omnidirectional videos…

Cited by 0SourceScholar
2023

Could the BubbleView Metaphor be used to Infer Visual Attention on 3D Graphical Content?

ICASSP 2023accepted

Understanding the deployment of human gaze on 3D graphical objects is of critical importance in order to propose rich and complex 3D environments without strong latency nor rendering constraints. However, the data needed to study this gaze deployment can be costly and difficult to obtain, especially…

Cited by 0SourceScholar
2023

Estimating Uncertainty On Video Quality Metrics

ICASSP 2023accepted

Video Quality Metrics (VQM) are models used to predict the score that a user would give to the quality of a video visualization. They are widely used in video processing systems, for monitoring end-to-end quality or system troubleshooting for example. In these scenarios, the improvement is quantifie…

Cited by 0SourceScholar
2023

From Temporal-Evolving to Spatial-Fixing: A Keypoints-Based Learning Paradigm for Visual Robotic Manipulation

IROS 2023poster

The current learning pipelines for robotics manipulation infer movement primitives sequentially along the temporal-evolving axis, which can result in an accumulation of prediction errors and subsequently cause the visual observations to fall out of the training distribution. This paper proposes a no…

Cited by 1SourcecodeScholar
2022

Considering User Agreement in Learning to Predict the Aesthetic Quality

ICASSP 2022accepted

How to robustly rank the aesthetic quality of given images has been a long-standing ill-posed topic. Such challenge stems mainly from the diverse subjective opinions of different observers about the varied types of content. There is a growing interest in estimating the user agreement by considering…

Cited by 0SourceScholar
2022

Improving Maximum Likelihood Difference Scaling Method To Measure Inter Content Scale

ICASSP 2022accepted

The goal of most subjective studies is to place a set of stimuli on a perceptual scale. This is mostly done directly by rating, e.g. using single or double stimulus methodologies, or indirectly by ranking or pairwise comparison. All these methods estimate the perceptual magnitudes of the stimuli on…

Cited by 0SourceScholar
2022

Specialised Video Quality Model For Enhanced User Generated Content (UGC) With Special Effects

ICASSP 2022accepted

User Generated Content (UGC) refers to media generated by users for end-consumers that represent most of the media exchange on social media. UGC is subject to acquisition and transmission limitations that disable access to the pristine, i.e., perfect source content. Evaluating their quality, especia…

Cited by 0SourceScholar
2022

Subjective And Objective Quality Assessment Of Mobile Gaming Video

ICASSP 2022accepted

Nowadays, with the vigorous expansion and development of gaming video streaming techniques and services, the expectation of users, especially the mobile phone users, for higher quality of experience is also growing swiftly. As most of the existing research focuses on traditional video streaming, the…

Cited by 0SourceScholar
2020

Sparse Directed Graph Learning for Head Movement Prediction in 360 Video Streaming

ICASSP 2020accepted

High-definition 360 videos encoded in fine quality are typically too large in size to stream in its entirety over bandwidth (BW)-constrained networks. One popular remedy is to interactively extract and send a spatial sub-region corresponding to a viewer's current field-of-view (FoV) in a head-mounte…

Cited by 0SourceScholar
2018

Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation

NeurIPS 2018poster

In this paper we present a hybrid active sampling strategy for pairwise preference aggregation, which aims at recovering the underlying rating of the test candidates from sparse and noisy pairwise labeling. Our method employs Bayesian optimization framework and Bradley-Terry model to construct the u…

2017

Inpainting-based error concealment for low-delay video communication

ICASSP 2017accepted

Error concealment (EC) is one of the target applications of inpainting techniques. Some methods combine the estimated lost motion vectors (MVs) with the exemplar-based inpainting technique to recover the lost regions. Due to the erroneous motion vectors that might indicate a moving object as backgro…

Cited by 0SourceScholar
2015

A multi-slice model observer for medical image quality assessment

ICASSP 2015accepted

Model observers (MOs) have been developed for the medical image quality assessment. Nowadays, numerous modern medical instruments are capable of producing 3D images, while few researchers have conducted MO studies on 3D data. In this paper, we propose a multi-slice MO when considering a relatively m…

Cited by 0SourceScholar