By Flierl M., Girod B.

Video Coding with Superimposed Motion-Compensated signs: functions to H.264 and past captures contemporary advances in movement repayment for effective video compression. This booklet investigates linearly mixed movement compensated indications, and generalizes the well-known superposition for bidirectional prediction in B-pictures. The variety of superimposed signs and the reference photo choice are vital features of discussion.The program orientated a part of the e-book employs the concept that to ITU-T suggestion H.263, and keeps with the advancements by means of 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 indications: purposes to H.264 and past discusses a brand new method for wavelet-based video coding. This know-how is at the moment being investigated by means of MPEG, to increase a brand new video compression regular for the mid-term future.The theoretical a part of Video Coding with Superimposed Motion-Compensated indications: functions to H.264 and past offers a deeper figuring out of the underlying rules of superimposed motion-compensated indications. This ebook contains greater than two hundred references, summarizes suitable past paintings, and develops a mathematical characterization of superimposed motion-compensated indications. The derived information-theoretic functionality bounds allow a useful comparability of the investigated compression schemes.Video Coding with Superimposed Motion-Compensated indications: purposes to H.264 and past is designed for aprofessional viewers composed of researchers and practitioners in undefined. This e-book is usually compatible as a secondary textual content for graduate-level scholars in desktop technology and engineering.

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Extra info for Video Coding with Superimposed Motion-Compensated Signals: Applications to H. 264 and Beyond

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4, the theoretical investigation in [11] shows that a linear combination of multiple motion-compensated signals can improve the performance of motion-compensated prediction for video coding. This chapter extends that work by introducing the concept of complementary hypotheses [203, 204]. To motivate this concept, let us consider pairs of motion-compensated sig­ nals. The two signals are simply averaged to form the prediction signal. We ask the question what kind of pairs are necessary to achieve the best predic­ tion performance of superimposed motion compensation.

4) is equal to one. 2 Complementary Hypotheses The previous section shows that the displacement error correlation coeffi­ cient influences the performance of superimposed motion compensation. An ideal superimposed motion estimator will select sets of hypotheses that opti­ mize the performance of superimposed motion compensation. In the following, we focus on the relationship between the prediction error variance and the displacement error correlation coefficient. The prediction error vari­ ance is a useful measure because it is related to the minimum achievable trans­ mission bit-rate [11].

E. Q = 2 · QP. 23). 4 Efficient Motion Estimation Multiframe motion-compensated prediction and, in particular, superim­ posed motion-compensated prediction increase the computational complexity of motion estimation. Fast search algorithms can be used to reduce the com­ putational burden without sacrificing performance. [124] presents a fast exhaustive search algorithm for motion estimation. The basic idea is to obtain the best estimate of the motion vectors by successively eliminating the search positions in the search window and thus decreasing the number of matching evaluations that require very intensive computations.

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