Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
Fast motion estimation within the H.264 codec
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Distortion-Complexity Optimization of the H.264/MPEG-4 AVC Encoder using the GBFOS Algorithm
DCC '07 Proceedings of the 2007 Data Compression Conference
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Power-rate-distortion analysis for wireless video communication under energy constraints
IEEE Transactions on Circuits and Systems for Video Technology
Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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We propose a framework for complexity scalability in H.264. The prediction is constrained so that only a subset of prediction modes are tested. The test subset is found by ranking the most "popular" modes (those the are most often picked as best) and selecting the modes that maximize their expected occurrence frequency given a complexity constraint. Ranking is performed by selecting a small set of macroblocks (the sampling population), for which all modes are tested. The remaining macroblocks only test the available dominant modes. The modes in the sampling population of a frame are used to process the next frame. Results are shown to verify the performance of the proposed method, which reveals sizeable complexity savings at small penalties.