Interframe Wavelet Coding The Status of Interframe Wavelet Coding Exploration in MPEG ISO/IEC JTC1/SC29/WG11 MPEG2002/N4928 Klagenfurt, July 2002 Adaptive.

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Interframe Wavelet Coding The Status of Interframe Wavelet Coding Exploration in MPEG ISO/IEC JTC1/SC29/WG11 MPEG2002/N4928 Klagenfurt, July 2002 Adaptive Motion-Compensated Wavelet Filtering for Image Sequence Coding IEEE TRANSACTIONS ON IMAGE PROCESSING VOL. 6, NO. 6, JUNE 1997 Jean-Pierre Leduc, Jean-Marc Odobez, and Claude Labit

Outline Wavelet transform-based coding Motion Compensated Temporal Filtering(MCTF) Block Diagram of Interframe Wavelet Experimental results Conclusions

Wavelet transform-based coding Discrete wavelet transform(DWT) decomposes a nonstationary signal into multiscaled subbands (1)Wavelet transform (2)Quantization (3)Entropy coding

Motion Compensated Temporal Filtering(MCTF) The spatio-temporal scenes will be segmented according to motion build the trajectories by a spatio-temporal segmentation algorithm and a related trajectory construction Temporal filtering will applied along the assumed motion trajectories

Motion Compensated Temporal Filtering(MCTF) (Haar filter [1, 1] [1, -1]) (Haar filter [1, 1] [1, -1]) with motion compensation

Motion Compensated 3D Wavelet Coding by Lifting Filter Implementation The “highpass” pictures are very much the same as difference frame in a frame prediction can be achieved in combination with motion compensation A “lifting filter” structure is an efficient implementation of wavelet decomposition Consiting of a “prediction step”(highpass filter) and an “update step”(lowpass filter)

An MCTF four-level decomposition (GOP=16 frames) Divides consecutive frames into groups(GOP=16) Perform MC filtering on pairs of frames to produce temporal low and high frames. Temporal low frames decomposed again with the same MC filtering

A three-level 3D motion compensated decomposition Pictures at leaves of tree are subject to spatial wavelet decomposition

Block Diagram of Interframe Wavelet

Experimental Results Examples of comparison between MCTF and AVC (GOP=16 frames)

Conclusions Scalability : spatial, temporal, SNR and complexity (Wavelet coding which inherently possess scalability) Providing flexible scalability of a single bitstream (encoding once,decoding multiple times) Error resilience (a non-recursive coder)