By Flierl M., Girod B.
Video Coding with Superimposed Motion-Compensated indications: purposes to H.264 and past captures fresh advances in movement repayment for effective video compression. This ebook investigates linearly mixed movement compensated signs, and generalizes the well-known superposition for bidirectional prediction in B-pictures. The variety of superimposed signs and the reference photograph choice are very important elements of discussion.The software orientated a part of the e-book employs the idea that to ITU-T advice H.263, and keeps with the advancements via superimposed motion-compensated signs for the rising criteria ITU-T advice H.264 & ISO/IEC MPEG-4 half 10. furthermore, Video Coding with Superimposed Motion-Compensated signs: purposes to H.264 and past discusses a brand new technique for wavelet-based video coding. This expertise is at present being investigated by way of MPEG, to boost a brand new video compression regular for the mid-term future.The theoretical a part of Video Coding with Superimposed Motion-Compensated indications: purposes to H.264 and past presents a deeper realizing of the underlying ideas of superimposed motion-compensated signs. This ebook contains greater than 2 hundred references, summarizes correct past paintings, and develops a mathematical characterization of superimposed motion-compensated indications. The derived information-theoretic functionality bounds enable a necessary comparability of the investigated compression schemes.Video Coding with Superimposed Motion-Compensated signs: purposes to H.264 and past is designed for aprofessional viewers composed of researchers and practitioners in undefined. This booklet is usually appropriate as a secondary textual content for graduate-level scholars in computing device technology and engineering.
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Extra info for Video Coding with Superimposed Motion-Compensated Signals: Applications to H. 264 and Beyond
Example text
ZHANG et al. also incorporate motion compensation into the lifting scheme [197] and use this method for 3D wavelet compression of concentric mosaics [198]. SECKER and TAUBMAN investigate lifting schemes with block motion compensation [20] and deformable mesh motion compen sation [199]. OHM reviews the recent progress and discusses novel aspects with respect to irregular sampled signals, shift variance of wavelet transforms and non-dyadic wavelet processing [200]. PATEUX et al. investigate several motion-compensated lifting implementations and compare to standardized hy brid codecs [201].
2 extends the known model of multihypothesis motion-compensated prediction. Correlated dis placement error for superimposed prediction are discussed and the concept of motion compensation with complementary hypotheses is introduced. Fur ther, we discuss the gradient of the prediction error variance for superim posed motion-compensated signals and the impact of a particular frame signal model. 3 analyzes “noisy” hypotheses, investigates both averaging and Wiener filtering, and provides performance results for jointly estimated hypotheses.
Also call the Motion-compensated prediction should work best if we compensate the true displacement of the scene exactly for a prediction signal. Less accurate com pensation will degrade the performance. To capture the limited accuracy of motion compensation, we associate a vector-valued displacement error hypothesis The displacement error reflects the inaccuracy with the of the displacement vector used for motion compensation and transmission. Motion-Compensated Prediction with Complementary Hypotheses 37 The displacement vector field can never be completely accurate since it has to be transmitted as side information with a limited bit-rate.