JOURNAL ARTICLE

A compressed domain video object segmentation system

Michele Lynn JamrozikM.H. Hayes

Year: 2003 Journal:   Proceedings - International Conference on Image Processing Vol: 1 Pages: I-113   Publisher: Institute of Electrical and Electronics Engineers

Abstract

A fast means of object segmentation in a video sequence using low-level features existing in the compressed video stream is presented. These features include the DCT coefficient values of I-frames and motion vectors. The work described here is the foundation of a spatial segmentation system that approaches real time. Potential applications for the system include the separation of foreground and background objects and video database searching.

Keywords:
Artificial intelligence Computer vision Computer science Segmentation Discrete cosine transform Object (grammar) Video tracking Image segmentation Scale-space segmentation Segmentation-based object categorization Motion compensation Video compression picture types Pattern recognition (psychology) Image (mathematics)

Metrics

31
Cited By
1.83
FWCI (Field Weighted Citation Impact)
5
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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