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MAX PLANCK CENTER FOR VISUAL COMPUTING AND COMMUNICATION

Motivation. Heuristics for implementation. Heuristic 1: Scaled conventional update. L. +. +. X. It can be shown that if eigenvalues of are close then and hence. Error in sub-bands. Recons-truction error. -. H. Y.

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MAX PLANCK CENTER FOR VISUAL COMPUTING AND COMMUNICATION

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  1. Motivation Heuristics for implementation Heuristic 1: Scaled conventional update L + + X It can be shown that if eigenvalues of are close then and hence . Error in sub-bands Recons-truction error - H Y Heuristic 2: Modified Barbell update If is orthonormal equal distortion in reconstructed pictures. + Example with half-pel MC is shown. + + 0.5 If is not orthonormal, this might lead to distortion fluctuation. Problem Weight 0.5 In particular, if involves general motion compensation, then is not orthonormal. 0.5 Goal Reduce distortion fluctuation. used with Barbell type inversion. 0.5 Synthesis 0.5 For full-pel MC, is implemented exactly 1 H(Y) H(Y) X L(X) Prediction Update Distortion in subbands 38.6 PSNR of X 1 PSNR of Y 38.55 1 PSNR of X Distortion in reconstruction 2 PSNR of Y 38.5 2 38.45 PSNR in dB 38.4 Deviation from orthonormality 38.35 38.3 Search for optimal 38.25 38.2 • Frame Y suffers higher distortion • Multi-level wavelet transform of a GOP suffers from PSNR fluctuations 0.5 0.6 0.7 0.8 0.9 1 New Update Step Minimize total reconstruction distortion 36 modified Barbell PSNR profile for Foreman video sequence scaled conventional update conventional update 35.5 [Girod et al. PCS ´04] 35 Additionally minimize difference in distortion PSNR in dB 34.5 34 33.5 Suitable has to be found for every pair 33 0 10 20 30 40 50 60 70 80 frame number A New Update Step for Motion-Compensated Lifted Wavelet CodingAditya Mavlankar, Sangeun Han, Chuo-Ling Chang and Bernd Girod{maditya,sehan,chuoling,bgirod}@stanford.edu [Chang et al. MMSP '05] Poster prepared in collaboration with Markus Flierl. MAX PLANCK CENTER FOR VISUAL COMPUTING AND COMMUNICATION

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