What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
Patrick Le Callet mostly deals with Artificial intelligence, Computer vision, Image quality, Visual attention and Visualization.
His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition.
His Computer vision research incorporates elements of Salient and Video quality.
The study incorporates disciplines such as Enhanced Data Rates for GSM Evolution, Image compression, Distortion and Wavelet, Wavelet transform in addition to Image quality.
The Visual attention study combines topics in areas such as Eye movement and Fixation.
Patrick Le Callet combines subjects such as Rendering and Gaze with his study of Eye tracking.
His most cited work include:
- A Dataset of Head and Eye Movements for 360 Degree Images (97 citations)
- Video quality assessment: From 2D to 3D — Challenges and future trends (82 citations)
- The Application of Visual Saliency Models in Objective Image Quality Assessment: A Statistical Evaluation (75 citations)
What are the main themes of his work throughout his whole career to date?
Patrick Le Callet mainly investigates Artificial intelligence, Computer vision, Image quality, Video quality and Quality of experience.
His research in Artificial intelligence tackles topics such as Perception which are related to areas like Data compression.
His Computer vision research incorporates themes from Visualization and Visual attention.
Patrick Le Callet usually deals with Image quality and limits it to topics linked to Rendering and Virtual reality.
His biological study deals with issues like Multiview Video Coding, which deal with fields such as Coding tree unit.
His Quality of experience study integrates concerns from other disciplines, such as Multimedia, Coding and Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (64.73%)
- Computer vision (53.77%)
- Image quality (18.84%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (64.73%)
- Computer vision (53.77%)
- Perception (13.01%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Perception, Image quality and Quality of experience.
Patrick Le Callet conducted interdisciplinary study in his works that combined Artificial intelligence and Metric.
His work on Human visual system model as part of his general Computer vision study is frequently connected to Focus, thereby bridging the divide between different branches of science.
His biological study spans a wide range of topics, including Image, Data mining and End user.
His Image quality study incorporates themes from Feature extraction and Sonar.
His work deals with themes such as Coding, Rendering and Human–computer interaction, which intersect with Quality of experience.
Between 2018 and 2021, his most popular works were:
- State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression (69 citations)
- A dataset of eye movements for the children with autism spectrum disorder (30 citations)
- Multiscale Natural Scene Statistical Analysis for No-Reference Quality Evaluation of DIBR-Synthesized Views (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
Patrick Le Callet focuses on Artificial intelligence, Computer vision, Image quality, Image and Perception.
His study in the fields of Virtual reality under the domain of Artificial intelligence overlaps with other disciplines such as Metric.
His Computer vision research includes elements of Flicker and Ray.
The study incorporates disciplines such as Stereoscopy and Human visual system model in addition to Image quality.
His research integrates issues of Data mining, Video processing and Database in his study of Image.
Patrick Le Callet has included themes like Range, State, Compression and Video image in his Perception study.
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