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Real-Time H.264 Video Encoding in Software with Fast Mode Decision and Dynamic Complexity Control

2010-02, Ivanov, Yuri, Bleakley, Chris J.

This paper presents a novel real-time algorithm for reducing and dynamically controlling the computational complexity of an H.264 video encoder implemented in software. A fast Mode Decision algorithm, based on a Pareto optimal MacroBlock classification scheme, is combined with a Dynamic Complexity Control algorithm that adjusts the MB Class decisions such that a constant frame rate is achieved. The average coding efficiency of the proposed algorithm was found to be similar to that of conventional encoding operating at half the frame rate. The proposed algorithm was found to provide lower average bit rate and distortion than Static Complexity Scaling.

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Dynamic Complexity Scaling for Real-Time H.264/AVC Video Encoding

2007-09-28, Ivanov, Yuri, Bleakley, Chris J.

The H.264 video encoding standard can achieve high coding efficiency at the expense of high computational complexity. Typically, real-time software implementation requires omission of most optional encoding tools leading to significantly reduced coding efficiency. This paper proposes a novel method for real-time H.264 encoding based on dynamic control of the encoding parameters to meet real-time constraints while minimizing coding efficiency loss. Experimental results show that the method provides up to 19% lower bit rate than conventional real-time encoding using fixed parameters with the same visual quality. The method allows real-time 30fps QCIF encoding on a Pentium IV with similar coding efficiency to full search baseline profile encoding.