NDLI: A novel motion-based representation for video mining

Content Provider	IEEE Xplore Digital Library
Author	Dong-Jun Lan Yu-Fei Ma Hong-Jiang Zhang
Copyright Year	2003
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Dong-Jun Lan)
Abstract	It is a challenging issue to analyze video content for video mining tasks due to lacking of effective representation of video. As motion is a distinctive feature of video sequence, it is a reasonable and efficient manner to represent video content based on motion. In this paper we proposed a novel motion-based representation for video mining tasks, including a fast dominant motion extraction scheme, called integral template match (ITM), and a set of qualitative and quantitative description schemes. Currently, we applied it to such video mining tasks as shot boundary detection, camera motion segmentation and recognition. The experiments on the test collection of TREC2002 video track have demonstrated the efficiency and robustness of the proposed schemes.
Sponsorship	IEEE Signal Process. Soc., Comput. Soc., Circuits & Syst. Soc, Commun. Soc
File Size	310071
File Format	PDF
ISBN	0780379659
DOI	10.1109/ICME.2003.1221350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Gunshot detection systems Motion detection Cameras Robustness Motion analysis Video sequences Image motion analysis Asia Motion segmentation
Content Type	Text
Resource Type	Article

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