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Proceedings Paper

Transmission of object based fine-granular-scalability video over networks
Author(s): Xu-li Shi; Zhi-cheng Jin; Guo-wei Teng; Zhao-yang Zhang; Ping An; Guang Xiao
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Paper Abstract

It is a hot focus of current researches in video standards that how to transmit video streams over Internet and wireless networks. One of the key methods is FGS(Fine-Granular-Scalability), which can always adapt to the network bandwidth varying but with some sacrifice of coding efficiency, is supported by MPEG-4. Object-based video coding algorithm has been firstly included in MPEG-4 standard that can be applied in interactive video. However, the real time segmentation of VOP(video object plan) is difficult that limit the application of MPEG-4 standard in interactive video. H.264/AVC is the up-to-date video-coding standard, which enhance compression performance and provision a network-friendly video representation. In this paper, we proposed a new Object Based FGS(OBFGS) coding algorithm embedded in H.264/AVC that is different from that in mpeg-4. After the algorithms optimization for the H.264 encoder, the FGS first finish the base-layer coding. Then extract moving VOP using the base-layer information of motion vectors and DCT coefficients. Sparse motion vector field of p-frame composed of 4*4 blocks, 4*8 blocks and 8*4 blocks in base-layer is interpolated. The DCT coefficient of I-frame is calculated by using information of spatial intra-prediction. After forward projecting each p-frame vector to the immediate adjacent I-frame, the method extracts moving VOPs (video object plan) using a recursion 4*4 block classification process. Only the blocks that belong to the moving VOP in 4*4 block-level accuracy is coded to produce enhancement-layer stream. Experimental results show that our proposed system can obtain high interested VOP quality at the cost of fewer coding efficiency.

Paper Details

Date Published: 12 May 2006
PDF: 8 pages
Proc. SPIE 6249, Defense Transformation and Network-Centric Systems, 624910 (12 May 2006); doi: 10.1117/12.665395
Show Author Affiliations
Xu-li Shi, Shanghai Univ. (China)
Zhi-cheng Jin, East China Normal Univ. (China)
Guo-wei Teng, Central Research Academy, SVA (GROUP) Co., Ltd. (China)
Zhao-yang Zhang, Ministry of Education (China)
Ping An, Shanghai Univ. (China)
Guang Xiao, Shanghai Municipal Educational Examinations Authority (China)

Published in SPIE Proceedings Vol. 6249:
Defense Transformation and Network-Centric Systems
Raja Suresh, Editor(s)

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