A vision-based postproduction tool for footage logging, analysis, and annotation
Graphical Models - Special issue: Vision and computer graphics
Compression of Patient Monitoring Video Using Motion Segmentation Technique
Journal of Medical Systems
Reconfigurable Morphological Image Processing Accelerator for Video Object Segmentation
Journal of Signal Processing Systems
Constrained region-growing and edge enhancement towards automated semantic video object segmentation
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
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We describe an object-based video compression scheme based on the derivation and efficient coding of motion boundaries. First, we recursively identify a small number of global movement classes, each represented by two or more motion parameters. Second, we assign regions of a spatial segmentation to movement classes. Third, we merge segments using various similarity heuristics, while adding movement classes for small objects, if necessary. Finally, the boundaries of motion are coded using an efficient asymmetric binary tree coding scheme. Experimental results on standard test sequences qualitatively show that the proposed algorithm gives good segmentation, and that it is suitable for very-low-data-rate object-based coding.