Paper
9 January 1998 Layered coding system for very low bitrate videophone
Tao Xie, Yun He, Chengjian Weng, Yujin Zhang, Chongxi Feng
Author Affiliations +
Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298370
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
Abstract
This paper presents a layered video-coding scheme for very low bit rate videophone. The lower two layers of this scheme are compatible with ITU-T H.263 in order to be compatible with other schemes. The first layer is normal H.263 without a priori knowledge of the image content, which is robust to image content. The second layer introduces the typical head- shoulder assumption, and provides subjectively improved quality of reconstructed image. The third layer is based on the same model as layer two, but further improves the subjective quality by employing the shape information of the interested objects. Manipulation functionality is supported in the third layer. When the typical head-shoulder hypothesis is true, the coding scheme can upgrade its coding layer to obtain better subjective quality. On the other hand, the coding scheme can withdraw to robust lower layers when the a priori knowledge is not available In this paper, a novel motion estimation criterion is introduced which can be integrated into most of present strategies to improve the overall performance. A B-spline approach is introduced in this paper to encode the object contour instead of chain code.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Xie, Yun He, Chengjian Weng, Yujin Zhang, and Chongxi Feng "Layered coding system for very low bitrate videophone", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298370
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Cited by 1 scholarly publication.
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KEYWORDS
Motion estimation

Image quality

Computer programming

Image segmentation

Video coding

Image compression

Detection and tracking algorithms

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