JOURNAL ARTICLE

<title>Spatio-temporal segmentation of video data</title>

John WangEdward H. Adelson

Year: 1994 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2182 Pages: 120-131   Publisher: SPIE

Abstract

Image segmentation provides a powerful semantic description of video imagery essential in image understanding and efficient manipulation of image data. In particular, segmentation based on image motion defines regions undergoing similar motion allowing an image coding system to more efficiently represent video sequences. This paper describes a general iterative framework for segmentation of video data. The objective of our spatiotemporal segmentation is to produce a layered image representation of the video for image coding applications whereby video data is simply described as a set of moving layers.

Keywords:
Computer science Artificial intelligence Computer vision Image segmentation Segmentation Segmentation-based object categorization Scale-space segmentation Video post-processing Minimum spanning tree-based segmentation Coding (social sciences) Motion compensation Video compression picture types Video tracking Video processing Mathematics

Metrics

87
Cited By
5.19
FWCI (Field Weighted Citation Impact)
13
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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