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ABSTRACT: In order to enable real-time software-based video encoding, in this work we optimized the prediction stage of an H.264 video encoder, in the complexity sense. Thus, besides looking for the coding options which lead to the best coded representation in terms of rate and distortion (RD), we constrain to a complexity (C) budget. We present a complexity optimized framework (RDC-optimized) which allows for real-time video compression and that does not make use of frame-skipping to comply to the desired encoding speed. We developed our framework around an open source software implementation of the H.264/AVC, the the x264 encoder. Results show that tight complexity control is attainable in practice, with very little loss in RD performance.
Circuits and Systems (ISCAS), 2011 IEEE International Symposium on; 06/2011
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ABSTRACT: 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.
Image Processing (ICIP), 2009 16th IEEE International Conference on; 12/2009
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ABSTRACT: Video compression is a computation-intensive task and real-time implementation of state-of-the-art video standards is a challenge. In this paper we propose a complexity scalable framework to H.264/AVC prediction module since the ldquointrardquo and ldquointerrdquo prediction steps are responsible for almost all computation complexity. The idea is to employ a subset of prediction modes instead of testing all modes recommended by H.264/AVC standard. Only the most ldquopopularrdquo prediction modes are ranked and tested until reaching a complexity budget. The ranking is done by sampling macroblocks of previous frames. Results show a negligible the quality loss while achieving large computational savings.
Picture Coding Symposium, 2009. PCS 2009; 06/2009
