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Proceedings Paper

A unified framework of unsupervised subjective optimized bit allocation for multiple video object coding
Author(s): Zhenzhong Chen; Junwei Han; King Ngi Ngan
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Paper Abstract

MPEG-4 treats a scene as a composition of several objects or so-called video object planes (VOPs) that are separately encoded and decoded. Such a flexible video coding framework makes it possible to code different video object with different distortion scale. It is necessary to analyze the priority of the video objects according to its semantic importance, intrinsic properties and psycho-visual characteristics such that the bit budget can be distributed properly to video objects to improve the perceptual quality of the compressed video. This paper aims to provide an automatic video object priority definition method based on object-level visual attention model and further propose an optimization framework for video object bit allocation. One significant contribution of this work is that the human visual system characteristics are incorporated into the video coding optimization process. Another advantage is that the priority of the video object can be obtained automatically instead of fixing weighting factors before encoding or relying on the user interactivity. To evaluate the performance of the proposed approach, we compare it with traditional verification model bit allocation and the optimal multiple video object bit allocation algorithms. Comparing with traditional bit allocation algorithms, the objective quality of the object with higher priority is significantly improved under this framework. These results demonstrate the usefulness of this unsupervised subjective quality lifting framework.

Paper Details

Date Published: 25 October 2005
PDF: 12 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 601504 (25 October 2005); doi: 10.1117/12.629855
Show Author Affiliations
Zhenzhong Chen, The Chinese Univ. of Hong Kong (Hong Kong China)
Junwei Han, The Chinese Univ. of Hong Kong (Hong Kong China)
King Ngi Ngan, The Chinese Univ. of Hong Kong (Hong Kong China)


Published in SPIE Proceedings Vol. 6015:
Multimedia Systems and Applications VIII
Anthony Vetro; Chang Wen Chen; C.-C. J. Kuo; Tong Zhang; Qi Tian; John R. Smith, Editor(s)

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