Impact of Clustering Techniques on Content-Based Pattern Generation Algorithm for Low Bit Rate Video Coding

Manoranjan Paul, Manzur Murshed

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Pattern based video coding as an extra mode in H.264 has already established its superiority over the H.264 in low bit rate areas. A significant drawback of predefined regular shaped pattern-matching algorithms however, is that they fail to capture large numbers of active-region macroblocks (RMB) which partially cover moving objects in a sequence. Intuitively, improved coding performance is achieved if instead of using a prescribed codebook of fixed-size regular shaped patterns, all pattern shapes are dynamically extracted from the video content. This pattern formation technique requires a clustering algorithm. In this paper we investigate the impact of clustering approaches on pattern generation. We also investigate the performance of hybrid pattern based coding using both the pre-defined and dynamically extracted patterns in a pattern codebook. The experimental results confirm that clustering algorithm has little impact on overall performance and hybrid pattern based coding does not improve the performance.
Original languageEnglish
Title of host publicationIEEE/ACIS International Conference on Computer and Information Science
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages320-325
Number of pages6
ISBN (Electronic)0769528414
DOIs
Publication statusPublished - 2007
Event6th International Conference - Melbourne, Australia, Australia
Duration: 11 Jul 200713 Jul 2007

Conference

Conference6th International Conference
Country/TerritoryAustralia
Period11/07/0713/07/07

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