Block-Mode Classification using SVMs for early termination of block mode decision in H.264|MPEG-4 Part 10 AVC

Jaeil Kim, Munchurl Kim, Sangjin Hahm, In Joon Cho, Changsub Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In this paper, a two-stage block-mode classification scheme of H.264|MPEG-4 Part 10 AVC is presented as a pattern classification approach using SVMs in order to reduce high computational complexity of its encoders. For the block-mode classification, the feature vectors for each macroblock are formed for the SVMs with SATD and CBP values to detect the large and small block modes. From the experimental results, the proposed scheme yields 80% and 95% of the correct classification rate in average for the first and second stage, which has led to from 35% to 55% reduction in the total encoding time while maintaining negligible amounts of bit rate increases and PSNR drops for test sequences with QCIF, CIF, and 4CIF resolutions and various quantization parameter values.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009
Pages83-86
Number of pages4
DOIs
StatePublished - 2009
Event7th International Conference on Advances in Pattern Recognition, ICAPR 2009 - Kolkata, India
Duration: 4 Feb 20096 Feb 2009

Publication series

NameProceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009

Conference

Conference7th International Conference on Advances in Pattern Recognition, ICAPR 2009
Country/TerritoryIndia
CityKolkata
Period4/02/096/02/09

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