Image and Video Compression Standards: Algorithms and Architectures
Image and Video Compression Standards: Algorithms and Architectures
An adaptive non-linear motion vector resampling algorithm for down-scaling video transcoding
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Robust region-of-interest determination based on user attention model through visual rhythm analysis
IEEE Transactions on Circuits and Systems for Video Technology
Motion vector refinement for high-performance transcoding
IEEE Transactions on Multimedia
Heterogeneous video transcoding to lower spatio-temporalresolutions and different encoding formats
IEEE Transactions on Multimedia
Transcoder architectures for video coding
IEEE Transactions on Consumer Electronics
Motion vector composition algorithm for spatial scalability in compressed video
IEEE Transactions on Consumer Electronics
Adaptive motion-vector resampling for compressed video downscaling
IEEE Transactions on Circuits and Systems for Video Technology
Polynomial search algorithms for motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Efficient motion-estimation algorithm for reduced frame-rate video transcoder
IEEE Transactions on Circuits and Systems for Video Technology
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For multimedia communications, there is a need to downscale a video prior to transmission because of the limitation of the bandwidth of a channel, and/or the different standards between transcoders. However, performing motion estimation in the downscaled video is computational intensive. In this paper, a parabolic motion vector re-estimation (PMVR) algorithm is proposed to predict motion vectors of the downscaled video. The proposed algorithm can significantly reduce computational complexity with slight PSNR degradation, in comparison with full search algorithm. Experimental results show that, with few additional computation, the proposed algorithm achieves a much higher quality than several existing algorithms.