Download presentation
Presentation is loading. Please wait.
1
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
2
Outline Wavelet transform-based coding Motion Compensated Temporal Filtering(MCTF) Block Diagram of Interframe Wavelet Experimental results Conclusions
3
Wavelet transform-based coding Discrete wavelet transform(DWT) decomposes a nonstationary signal into multiscaled subbands (1)Wavelet transform (2)Quantization (3)Entropy coding
4
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
5
Motion Compensated Temporal Filtering(MCTF) (Haar filter [1, 1] [1, -1]) (Haar filter [1, 1] [1, -1]) with motion compensation
6
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)
7
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
8
A three-level 3D motion compensated decomposition Pictures at leaves of tree are subject to spatial wavelet decomposition
9
Block Diagram of Interframe Wavelet
10
Experimental Results Examples of comparison between MCTF and AVC (GOP=16 frames)
11
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)
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.