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
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;
Conference_Titel :
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Print_ISBN :
0-7803-9459-3
DOI :
10.1109/ICCE.2006.1598522
