Image and Video Compression for Multimedia Engineering
Image and Video Compression for Multimedia Engineering
Motion-compensated video coding using sliced blocks
Systems and Computers in Japan
Heterogeneous video transcoding to lower spatio-temporalresolutions and different encoding formats
IEEE Transactions on Multimedia
An Efficient Mode Decision Algorithm for H.264/AVC Encoding Optimization
IEEE Transactions on Multimedia
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
An effective variable block-size early termination algorithm for H.264 video coding
IEEE Transactions on Circuits and Systems for Video Technology
Hierarchical B-picture mode decision in H.264/SVC
Journal of Visual Communication and Image Representation
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Many video compression algorithms require decisions to be made to select between different coding modes. In the case of H.264, this includes decisions about whether or not motion compensation is used, and the block size to be used for motion compensation. It has been proposed that constrained optimization techniques, such as the method of Lagrange multipliers, can be used to trade off between the quality of the compressed video and the bit rate generated. In this paper, we show that in many cases of practical interest, very similar results can be achieved with much simpler optimizations. Mode selection by simply minimizing the distortion with motion vectors and header information produces very similar performance to the full constrained optimization, while it reduces the mode selection and over all encoding time by 31% and 12%, respectively. The proposed approach can be applied together with fast motion search algorithms and the mode filtering algorithms for further speed up.