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Knowledge-based segmentation and semantic contents extraction from MPEG videos

Ren, J, Chen, J, Jiang, J and Ipson, SS (2008) Knowledge-based segmentation and semantic contents extraction from MPEG videos In: VIE 2008, 2008-07-29 - 2008-08-01, Xian, China.

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Abstract

Automatic recognition of highlights from videos is a fundamental and challenging problem for content-based indexing and retrieval applications. In this paper, we propose techniques to solve this problem by using knowledge supported extraction of semantic contents, and compressed-domain processing is employed for efficiency. Firstly, video shots are detected by using knowledge-supported rules. Then, human objects are detected via statistical skin detection. Meanwhile, camera motion like zoom in is identified. Finally, highlights of zooming in human objects are extracted for further annotation, indexing and retrieval of the whole videos. Results from large data of test videos have demonstrated the accuracy and robustness of the proposed techniques.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Ren, JUNSPECIFIEDUNSPECIFIED
Chen, JUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Ipson, SSUNSPECIFIEDUNSPECIFIED
Date : 2008
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:25
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835272

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