Paper
13 July 2010 Linking distortion perception and visual saliency in H.264/AVC coded video containing packet loss
Ulrich Engelke, Romuald Pepion, Patrick Le Callet, Hans-Jürgen Zepernick
Author Affiliations +
Proceedings Volume 7744, Visual Communications and Image Processing 2010; 774406 (2010) https://doi.org/10.1117/12.863508
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China
Abstract
In this paper, distortions caused by packet loss during video transmission are evaluated with respect to their perceived annoyance. In this respect, the impact of visual saliency on the level of annoyance is of particular interest, as regions and objects in a video frame are typically not of equal importance to the viewer. For this purpose, gaze patterns from a task free eye tracking experiment were utilised to identify salient regions in a number of videos. Packet loss was then introduced into the bit stream such as that the corresponding distortions appear either in a salient region or in a non-salient region. A subjective experiment was then conducted in which human observers rated the annoyance of the distortions in the videos. The outcomes show a strong tendency that distortions in a salient region are indeed perceived as much more annoying as compared to distortions in the non-salient region. The saliency of the distorted image content was further found to have a larger impact on the perceived annoyance as compared to the distortion duration. The findings of this work are considered to be of great use to improve prediction performance of video quality metrics in the context of transmission errors.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ulrich Engelke, Romuald Pepion, Patrick Le Callet, and Hans-Jürgen Zepernick "Linking distortion perception and visual saliency in H.264/AVC coded video containing packet loss", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774406 (13 July 2010); https://doi.org/10.1117/12.863508
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Cited by 32 scholarly publications.
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KEYWORDS
Distortion

Video

Visualization

Molybdenum

Eye

Optical tracking

Data compression

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