Region-based video coding using mathematical morphology

This paper presents a region-based coding algorithm for video sequences. The coding approach involves a time-recursive segmentation relying on the pixels homogeneity, a region-based motion estimation, and motion compensated contour and texture coding. This algorithm is mainly devoted to very low bit rate video coding applications. One of the important features of the approach is that no assumption is made about the sequence content. Moreover the algorithm structure leads to a scalable coding process giving various levels of quality and bit rates. The coding as well as the segmentation are controlled to regulate the bit stream. Finally, the interest of morphological tools in the content of region-based coding is extensively reviewed. >

[1]  Murat Kunt,et al.  Size-sensitive multiresolution decomposition of images with rank order based filters , 1992, Signal Process..

[2]  Montse Pardàs,et al.  Hierarchical morphological segmentation for image sequence coding , 1994, IEEE Trans. Image Process..

[3]  Philippe Salembier,et al.  Connected operators and pyramids , 1993, Optics & Photonics.

[4]  Murat Kunt,et al.  Contour simplification and motion compensated coding , 1995, Signal Process. Image Commun..

[5]  Murat Kunt,et al.  Very low bit rate video coding using morphological segmentation and contour/texture motion compensation , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5).

[6]  Luc Vincent,et al.  Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  M. Kunt,et al.  Second-generation image-coding techniques , 1985, Proceedings of the IEEE.

[8]  Philippe Salembier,et al.  Morphological multiscale segmentation for image coding , 1994, Signal Process..

[9]  Philippe Jean Salembier Clairon,et al.  Time-recursive segmentation of image sequences , 1994 .

[10]  F. Meyer,et al.  Color image segmentation , 1992 .

[11]  C. Lantuejoul.  Geodesic methods in image anlysis , 1984 .

[12]  S. Fioravanti,et al.  Shape and location coding for contour images , 1995 .

[13]  Murat Kunt,et al.  Image sequence coding by split and merge , 1991, IEEE Trans. Commun..

[14]  Sarah A. Rajala,et al.  Video data compression using three-dimensional segmentation based on HVS properties , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[15]  M. Eden,et al.  On the performance of a contour coding algorithm in the context of image coding part I: Contour segment coding , 1985 .

[16]  Philippe Salembier,et al.  Flat zones filtering, connected operators, and filters by reconstruction , 1995, IEEE Trans. Image Process..

[17]  Jörn Ostermann,et al.  Object-oriented analysis-synthesis coding of moving images , 1989, Signal Process. Image Commun..

[18]  Christian Lantuéjoul,et al.  Geodesic methods in quantitative image analysis , 1984, Pattern Recognit..

[19]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[20]  Thomas Engelhardt,et al.  Coding of arbitrarily shaped image segments based on a generalized orthogonal transform , 1989, Signal Process. Image Commun..