DocumentCode
3313828
Title
Improved update steps through motion vector correlation analysis for scalable video coding
Author
Li, Fengling ; Ling, Nam
Author_Institution
Dept. of Comput. Eng., Santa Clara Univ., CA, USA
fYear
2006
fDate
7-11 Jan. 2006
Firstpage
485
Lastpage
486
Abstract
Recent breakthroughs in motion-compensated temporal filtering (MCTF) has enabled the realization of scalable video coding (SVC). In this paper, we propose a new scheme to improve the update steps of MCTF by analyzing the correlation of the motion vectors (MVs) of the neighboring blocks as well as the correlation of the derived update MVs in the low-pass frames. Results show that the proposed algorithm improves the visual quality of reconstructed video sequences at different bit rates.
Keywords
correlation methods; filtering theory; image reconstruction; image sequences; motion compensation; video signal processing; low-pass frames; motion vector correlation analysis; motion-compensated temporal filtering; scalable video coding; video sequence reconstruction; Bit rate; Decoding; Filtering; Motion analysis; Scalability; Static VAr compensators; Streaming media; Video coding; Video compression; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Print_ISBN
0-7803-9459-3
Type
conf
DOI
10.1109/ICCE.2006.1598522
Filename
1598522
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