DocumentCode
3267326
Title
Optimal arbitrary shaped pattern-based video coding
Author
Paul, Manoranjan ; Murshed, Manzur
Author_Institution
Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC
fYear
2008
fDate
8-10 Oct. 2008
Firstpage
206
Lastpage
211
Abstract
Very low bit-rate video coding algorithms using content-based generated patterns to segment out moving regions at macroblock level have exhibited good potential for improved coding efficiency when embedded into the H.264 standard as extra mode. This content-based pattern generation (CPG) algorithm provides local optimal result as only one pattern can be optimally generated from a given set of moving regions. But, it failed to provide optimal results for multiple patterns from entire sets. Obviously, a global optimal solution for clustering the set and then generation of multiple patterns enhances the performance farther. But a global optimal solution is not achievable due to the non-polynomial nature of the clustering problem. In this paper, we proposed a near optimal content-based pattern generation (OCPG) algorithm which outperforms the existing approach. Coupling OCPG, generating a set of patterns after clustering the macroblocks into several disjoint sets, with direct pattern selection algorithm by allowing all the macroblocks in multiple pattern modes outperforms the existing pattern-based coding while both embedded into the H.264.
Keywords
image segmentation; pattern clustering; set theory; video coding; H.264 standard; disjoint set clustering; image segmentation; near optimal content-based pattern generation; pattern-based video coding; Australia; Bit rate; Clustering algorithms; Information technology; Internet telephony; Motion estimation; Pattern matching; Video coding; Video sequences; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2008 IEEE 10th Workshop on
Conference_Location
Cairns, Qld
Print_ISBN
978-1-4244-2294-4
Electronic_ISBN
978-1-4244-2295-1
Type
conf
DOI
10.1109/MMSP.2008.4665076
Filename
4665076
Link To Document