Region-based video coding using mathematical morphology
Open Access
- 1 June 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 83 (6) , 843-857
- https://doi.org/10.1109/5.387088
Abstract
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.<>Keywords
This publication has 15 references indexed in Scilit:
- Video data compression using three-dimensional segmentation based on HVS propertiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Very low bit rate video coding using morphological segmentation and contour/texture motion compensationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Contour simplification and motion compensated codingSignal Processing: Image Communication, 1995
- Flat zones filtering, connected operators, and filters by reconstructionIEEE Transactions on Image Processing, 1995
- Morphological multiscale segmentation for image codingSignal Processing, 1994
- Hierarchical morphological segmentation for image sequence codingIEEE Transactions on Image Processing, 1994
- Size-sensitive multiresolution decomposition of images with rank order based filtersSignal Processing, 1992
- Object-oriented analysis-synthesis coding of moving imagesSignal Processing: Image Communication, 1989
- Second-generation image-coding techniquesProceedings of the IEEE, 1985
- Geodesic methods in quantitative image analysisPattern Recognition, 1984