Study of Multiview Video Coding Based on the FGS Coding Method

Huang Chao; Li Jintao

Journal of Computer Research and Development > 2005 > 42(3): .

Huang Chao, Li Jintao. Study of Multiview Video Coding Based on the FGS Coding Method[J]. Journal of Computer Research and Development, 2005, 42(3).

Citation:

Huang Chao, Li Jintao. Study of Multiview Video Coding Based on the FGS Coding Method[J]. Journal of Computer Research and Development, 2005, 42(3).

Citation:

Huang Chao, Li Jintao. Study of Multiview Video Coding Based on the FGS Coding Method[J]. Journal of Computer Research and Development, 2005, 42(3).

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Study of Multiview Video Coding Based on the FGS Coding Method

Huang Chao^1,2,
Li Jintao¹

1(Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080) 2(Graduate School of the Chinese Academy of Sciences, Beijing 100039)

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Published Date: March 14, 2005

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Abstract

Abstract

The data amount of multiview video is several times that of general video. If effective compression technique is not used, it is impossible to transmit and store multiview video effectively, which also becomes the barrier of the extensive application of the multiview video. Therefore, it is necessary to do research in developing new multiview video compression techniques. With the development of network, more attention has been given to the technique which can provide interactive multiview video, and how to effectively transport multiview video through network has become more and more important. In this paper, a new multiview video codec based on the FGS(fine granularity scalable)coding method is proposed. Experiments indicate that this codec can improve the transmission of multiview video, while providing high coding efficiency .
- multiview,
- video-coding,
- FGS(fine granularity scalable),
- transmission

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[2]	Zhang Hongbin, Ji Donghong, Yin Lan, Ren Yafeng, Niu Zhengyu. Caption Generation from Product Image Based on Tag Refinement and Syntactic Tree[J]. Journal of Computer Research and Development, 2016, 53(11): 2542-2555. DOI: 10.7544/issn1000-1239.2016.20150906
[3]	Chen Tieming, Yang Yimin, Chen Bo. Maldetect: An Android Malware Detection System Based on Abstraction of Dalvik Instructions[J]. Journal of Computer Research and Development, 2016, 53(10): 2299-2306. DOI: 10.7544/issn1000-1239.2016.20160348
[4]	Liu Duo, Dai Yiqi. Construction of Transformation Matrix with a Given Period Modulo N[J]. Journal of Computer Research and Development, 2012, 49(5): 925-931.
[5]	Hu Kai, Wang Zhe, Jiang Shu, and Yin Baolin. A Performance Model of k-Ary n-Cube Under Communication Locality[J]. Journal of Computer Research and Development, 2011, 48(11): 2083-2093.
[6]	Sun Decai, Sun Xingming, Zhang Wei, and Liu Yuling. A Filter Algorithm for Approximate String Matching Based on Match-Region Features[J]. Journal of Computer Research and Development, 2010, 47(4): 663-670.
[7]	Chen Huahong, Luo Xiaonan, Ling Ruotian, Ma Jianping. A Mesh Simplification Algorithm Based on n-Edges-Mesh Collapse[J]. Journal of Computer Research and Development, 2008, 45(6).
[8]	Zhang Yuejie, Xu Zhiting, and Xue Xiangyang. Fusion of Multiple Features for Chinese Named Entity Recognition Based on Maximum Entropy Model[J]. Journal of Computer Research and Development, 2008, 45(6).
[9]	Xia Luning and Jing Jiwu. An Administrative Model for Role-Based Access Control Using Hierarchical Namespace[J]. Journal of Computer Research and Development, 2007, 44(12): 2020-2027.
[10]	Tang Huanling, Sun Jiantao, Lu Yuchang. A Weight Adjustment Technique with Feature Weight Function Named TEF-WA in Text Categorization[J]. Journal of Computer Research and Development, 2005, 42(1): 47-53.