S
Stewart T. Worrall
Researcher at University of Surrey
Publications - 89
Citations - 1485
Stewart T. Worrall is an academic researcher from University of Surrey. The author has contributed to research in topics: Video quality & Depth map. The author has an hindex of 20, co-authored 89 publications receiving 1453 citations.
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Journal ArticleDOI
Quality Evaluation of Color Plus Depth Map-Based Stereoscopic Video
Chaminda T. E. R. Hewage,Stewart T. Worrall,Safak Dogan,Stephane Pierre Villette,Ahmet M. Kondoz +4 more
TL;DR: The correlation between subjective and objective evaluation of color plus depth video and transmission over Internet protocol (IP) is investigated, and subjective results are used to determine more accurate objective quality assessment metrics for 3D color plus Depth video.
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Prediction of stereoscopic video quality using objective quality models of 2-D video
TL;DR: Investigation is the correlation between subjective and objective evaluations of colour plus depth map 3-D video, which is used to determine more accurate objective quality assessment metrics for colour plusdepth map based stereoscopic video.
Journal ArticleDOI
Sensitivity Analysis of the Human Visual System for Depth Cues in Stereoscopic 3-D Displays
TL;DR: The sensitivity of humans for different depth cues is analyzed as applicable to 3-D viewing on stereoscopic displays and mathematical models are derived to explain the just noticeable difference in depth (JNDD) for three differentdepth cues, namely binocular disparity, retinal blur, and relative size.
Journal ArticleDOI
Display Dependent Preprocessing of Depth Maps Based on Just Noticeable Depth Difference Modeling
TL;DR: Experimental results suggest that the bit rate for depth map coding can be reduced up to 78% for the depth maps captured with depth-range cameras and up to 24% with computer vision algorithms, without affecting the 3-D visual quality or the arbitrary view synthesis quality for free-viewpoint video applications.
Journal ArticleDOI
Content Adaptive Enhancement of Multi-View Depth Maps for Free Viewpoint Video
TL;DR: This work proposes a novel content adaptive enhancement technique applied to the previously estimated multi-view depth map sequences that enforces consistency across the spatial, temporal and inter-view dimensions of the depth maps so that both the coding efficiency and the quality of the synthesized views are improved.