Motion Estimation for Video Coding Standards
Journal of VLSI Signal Processing Systems - Special issue on recent development in video: algorithms, implementation and applications
A reconfigurable hardware for one bit transform based multiple reference frame motion estimation
Proceedings of the Conference on Design, Automation and Test in Europe
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
IEEE Transactions on Consumer Electronics
An efficient search strategy for block motion estimation using image features
IEEE Transactions on Image Processing
Fast multiple reference frame motion estimation for H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
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A reconfigurable hardware architecture for multiframe frame motion estimation (RMF-ME) is presented in this paper. The proposed architecture can be configured to perform block matching (BM) error computations for 4 reference frames (RF) in parallel. For single reference frame configuration, the RMF-ME can perform concurrent BM computations of 4 macro blocks (MB) to support high motion vector (MV) throughput. The BM engine of the RMF-ME performs error computations on the luminance and the chrominance components of the pixel data in order to get accurate motion trajectories. FPGA implementation results show the RMFME circuit supports 1080P video at 123 frames per second (fps). Simulation and hardware implementation results of the RMFME design demonstrate that the proposed architecture is well suited for high resolution, high quality, and high throughput video applications.