Robust Real-Time Face Detection
International Journal of Computer Vision
Predictive fine granularity successive elimination for fast optimal block-matching motion estimation
IEEE Transactions on Image Processing
A block-based gradient descent search algorithm for block motion estimation in video coding
IEEE Transactions on Circuits and Systems for Video Technology
A fast hierarchical motion-compensation scheme for video coding using block feature matching
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Fast full-search block matching
IEEE Transactions on Circuits and Systems for Video Technology
Hexagon-based search pattern for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Highly efficient predictive zonal algorithms for fast block-matching motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Efficient block-matching motion estimation based on Integral frame attributes
IEEE Transactions on Circuits and Systems for Video Technology
Enhanced Intra-4 4 Mode Decision for H.264/AVC Coders
IEEE Transactions on Circuits and Systems for Video Technology
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Block matching based motion estimation employs conventionally pixel-based sum of absolute differences (SAD) metric for distortion measure. Many fast matching mechanisms have been developed to lower the computational load for block matching, such as those exploiting block feature based or attribute-based SAD calculations. By examining a subblock-sum-based SAD measure, where the subblock-sums can be considered to be intra-subblock features, we propose both intra- and inter-subblock features based SAD measure for more effective block matching in terms of achieving better coding efficiency. Interestingly, the proposed feature based SAD measure can be interpreted as subblock-based sum of absolute Hadamard transformed differences (SATD). The new features can be constructed in a multilevel structure, which may provide a flexible and scalable means for a tradeoff between computation load and coding efficiency. Encoding results are shown to compare the proposed scheme against other relevant feature based SAD measures.