Details

Autor(en) / Beteiligte

• Jaeil Kim
• Munchurl Kim
• Sangjin Hahm
• In-joon Cho
• Changsub Park

Titel

Block-Mode Classification Using SVMs for Early Termination of Block Mode Decision in H.264|MPEG-4 Part 10 AVC

Ist Teil von

• 2009 Seventh International Conference on Advances in Pattern Recognition, 2009, p.83-86

Ort / Verlag

IEEE

Erscheinungsjahr

2009

Link zum Volltext

• IEEE_Xplore

Quelle

IEL

Beschreibungen/Notizen

• 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.