Fast Mode Decision for H.264/AVC Based on Macroblock Correlation
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Dynamic computational complexity and bit allocation for optimizing H.264/AVC video compression
Journal of Visual Communication and Image Representation
Computation-Aware Intra-mode Decision for H.264 Coding and Transcoding
ISMW '07 Proceedings of the Ninth IEEE International Symposium on Multimedia Workshops
Classification based mode decisions for video over network
IEEE Transactions on Multimedia
Predictive RD optimized motion estimation for very low bit-rate video coding
IEEE Journal on Selected Areas in Communications
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
A hierarchical N-Queen decimation lattice and hardware architecture for motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity skip prediction for H.264 through Lagrangian cost estimation
IEEE Transactions on Circuits and Systems for Video Technology
Rate-Distortion and Complexity Optimized Motion Estimation for H.264 Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
IMPACT: imprecise adders for low-power approximate computing
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
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This article 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 bitrate and distortion than static complexity scaling.