NDLI: Two-dimensional entropy model for video shot partitioning

Content Provider	Springer Nature Link
Author	Zhu, SongHao Liu, YunCai
Copyright Year	2009
Abstract	A shot presents a contiguous action recorded by an uninterrupted camera operation and frames within a shot keep spatio-temporal coherence. Segmenting a serial video stream file into meaningful shots is the first pass for the task of video analysis, content-based video understanding. In this paper, a novel scheme based on improved two-dimensional entropy is proposed to complete the partition of video shots. Firstly, shot transition candidates are detected using a two-pass algorithm: a coarse searching pass and a fine searching pass. Secondly, with the character of two-dimensional entropy of the image, correctly detected transition candidates are further classified into different transition types whereas those falsely detected shot breaks are distinguished and removed. Finally, the boundary of gradual transition can be precisely located by merging the characters of two-dimensional entropy of the image into the gradual transition. A large number of video sequences are used to test our system performance and promising results are obtained.
Starting Page	183
Ending Page	194
Page Count	12
File Format	PDF
ISSN	10092757
Journal	Science in China Series : Information Sciences
Volume Number	52
Issue Number	2
e-ISSN	18622836
Language	English
Publisher	SP Science in China Press
Publisher Date	2009-01-23
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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