Multiview Image Coding Based on Geometric Prediction

Many existing multiview image/video coding techniques remove inter-viewpoint redundancy by applying disparity compensation in a conventional video coding framework, e.g., H.264/MPEG-4 AVC. However, conventional methodology works ineffectively as it ignores the special characteristics of inter-viewpo...

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Vydáno v:	IEEE transactions on circuits and systems for video technology Ročník 17; číslo 11; s. 1536 - 1548
Hlavní autoři:	San, Xing, Cai, Hua, Lou, Jian-Guang, Li, Jiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2007 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Automatic voltage control Cameras Coding Compensation Disparity estimation disparity vector (DV) Encoding geometric prediction H.264/MPEG-4 AVC Image coding Image sequences Layout Methodology Microwave integrated circuits MPEG 4 Standard multiview image coding (MIC) multiview video coding (MVC) Noise levels Redundancy Robustness source coding triangulation Video coding Video sequences triangulation epipolar geometry source coding H.264/MPEG-4 AVC Multi-view video coding geometric prediction multi-view image coding disparity estimation disparity vector
ISSN:	1051-8215, 1558-2205
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Popis
Shrnutí:	Many existing multiview image/video coding techniques remove inter-viewpoint redundancy by applying disparity compensation in a conventional video coding framework, e.g., H.264/MPEG-4 AVC. However, conventional methodology works ineffectively as it ignores the special characteristics of inter-viewpoint disparity. In this paper, we propose a geometric prediction methodology for accurate disparity vector (DV) prediction, such that we can largely reduce the disparity compensation cost. Based on the new DV predictor, we design a basic framework that can be implemented in most existing multiview image/video coding schemes. We also use state-of-the-art H.264/MPEG-4 AVC as an example to illustrate how the proposed framework can be integrated with conventional video coding algorithms. Our experiments show proposed scheme can effectively tracks disparity and greatly improves coding performance. Compared with H.264/MPEG-4 AVC codec, our scheme outperforms maximally 1.5 dB when encoding some typical multiview image sequences. We also carry out an experiment to evaluate the robustness of our algorithm. The results indicate our method is robust and can be used in practical applications.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1051-8215 1558-2205
DOI:	10.1109/TCSVT.2007.905382