NDLI: Unsupervised video segmentation method based on feature distance

Content Provider	IEEE Xplore Digital Library
Author	Jun Xiao Hexin Chen Zhonghua Sun
Copyright Year	2004
Description	Author affiliation: Coll. of Commun. Eng., Jilin Univ., Changchun, China (Jun Xiao; Hexin Chen; Zhonghua Sun)
Abstract	With the development of network and communication technology, large volumes of video data are generated every day. How to retrieve information efficiently from the video documents becomes a valuable issue. To address this problem, the contents of the digital videos should be annotated and indexed beforehand. Shot boundary detection is the first step for indexing and retrieving the contents from a video. Usually there exist both distinct and indistinct shot boundaries throughout a video, so the detection of these shots becomes a difficult task. According to this problem we propose an unsupervised clustering algorithm based on feature distance Io self-organize and dynamically analyse the video data, hereby segmenting the video hierarchically.
Starting Page	1078
Ending Page	1082
File Size	622324
Page Count	5
File Format	PDF
ISBN	0780386531
DOI	10.1109/ICARCV.2004.1468993
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gunshot detection systems Equations Information retrieval Content based retrieval Histograms Entropy Sun Educational institutions Communications technology Indexing
Content Type	Text
Resource Type	Article

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