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Patrick Le Callet

Patrick Le Callet

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
54
Citations
12982
World Ranking
4527
National Ranking
89

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Patrick Le Callet is affiliated with the University of Nantes in France and specializes in computer science, with a focus on image and video quality assessment and related fields. Their scholarly work spans multiple subfields including computer vision and pattern recognition, media technology, artificial intelligence, computer graphics and computer-aided design, as well as signal processing.

The main topics covered in their research include:

  • Image and Video Quality Assessment
  • Visual Attention and Saliency Detection
  • Image Enhancement Techniques
  • Advanced Image Fusion Techniques
  • Computer Graphics and Visualization Techniques
  • Video Coding and Compression Technologies
  • Advanced Vision and Imaging

Patrick Le Callet has contributed to numerous scientific publications, with frequent appearances in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Zenodo (CERN European Organization for Nuclear Research)

Among recent papers associated with their work are:

  • "State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression" (2020), published in IEEE Journal of Selected Topics in Signal Processing
  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond" (2021), published in ACM Computing Surveys
  • "A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation" (2020), published in IEEE Transactions on Image Processing
  • "UIF: An Objective Quality Assessment for Underwater Image Enhancement" (2022), published in IEEE Transactions on Image Processing
  • "Visual Quality of 3D Meshes With Diffuse Colors in Virtual Reality: Subjective and Objective Evaluation" (2020), published in IEEE Transactions on Visualization and Computer Graphics

They have collaborated frequently with several researchers, including:

  • Guangtao Zhai
  • Suiyi Ling
  • Ali Ak
  • Xiongkuo Min
  • Andréas Pastor

Best Publications

  • Qualinet White Paper on Definitions of Quality of Experience

    Kjell Brunnström;Sergio Ariel Beker;Katrien de Moor;Ann Dooms

  • Quality Assessment of Stereoscopic Images

    Alexandre Benoit;Patrick Le Callet;Patrizio Campisi;Romain Cousseau

  • Predicting visual fixations on video based on low-level visual features.

    Olivier Le Meur;Patrick Le Callet;Dominique Barba

  • Subjective quality assessment IRCCyN/IVC database

    Patrick Le Callet;Florent Autrusseau

  • State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression

    Mai Xu;Chen Li;Shanyi Zhang;Patrick Le Callet

  • HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images

    Manish Narwaria;Rafal K. Mantiuk;Mattheiu Perreira Da Silva;Patrick Le Callet

  • Towards a New Quality Metric for 3-D Synthesized View Assessment

    Unknown

  • A Dataset of Head and Eye Movements for 360 Degree Images

    Yashas Rai;Jesús Gutiérrez;Patrick Le Callet

  • Saliency Detection for Stereoscopic Images

    Yuming Fang;Junle Wang;Manish Narwaria;Patrick Le Callet

  • A dataset of head and eye movements for 360° videos

    Erwan J. David;Jesús Gutiérrez;Antoine Coutrot;Matthieu Perreira Da Silva

  • Considering Temporal Variations of Spatial Visual Distortions in Video Quality Assessment

    Unknown

  • Objective image quality assessment of 3D synthesized views

    Federica Battisti;Emilie Bosc;Marco Carli;Patrick Le Callet

  • Objective quality assessment of color images based on a generic perceptual reduced reference

    Mathieu Carnec;Patrick Le Callet;Dominique Barba

  • NAMA3DS1-COSPAD1: Subjective video quality assessment database on coding conditions introducing freely available high quality 3D stereoscopic sequences

    Matthieu Urvoy;Marcus Barkowsky;Romain Cousseau;Yao Koudota

  • The Application of Visual Saliency Models in Objective Image Quality Assessment: A Statistical Evaluation

    Wei Zhang;Ali Borji;Zhou Wang;Patrick Le Callet

  • Stereoscopic images quality assessment

    Patrizio Campisi;Patrick Le Callet;Enrico Marini

  • A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation

    Xiongkuo Min;Jiantao Zhou;Guangtao Zhai;Patrick Le Callet

  • NEW REQUIREMENTS OF SUBJECTIVE VIDEO QUALITY ASSESSMENT METHODOLOGIES FOR 3DTV

    Wei Chen;Jérôme Fournier;Marcus Barkowsky;Patrick Le Callet

  • HDR-VQM

    Manish Narwaria;Matthieu Perreira Da Silva;Patrick Le Callet

  • Video quality assessment: From 2D to 3D — Challenges and future trends

    Quan Huynh-Thu;Patrick Le Callet;Marcus Barkowsky

  • Using disparity for quality assessment of stereoscopic images

    A. Benoit;P. Le Callet;P. Campisi;R. Cousseau

  • DIBR synthesized image quality assessment based on morphological wavelets

    Dragana Sandic-Stankovic;Dragan Kukolj;Patrick Le Callet

Frequent Co-Authors

Gene Cheung
Gene Cheung York University
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Ke Gu
Ke Gu Beijing University of Technology
Weisi Lin
Weisi Lin Nanyang Technological University
Alexander Raake
Alexander Raake Ilmenau University of Technology
Patrizio Campisi
Patrizio Campisi Roma Tre University
Olivier Le Meur
Olivier Le Meur InterDigital (United States)
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne

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