Fuzzy color histogram-based video segmentation
Author
Küçüktunç, O.
Güdükbay, Uğur
Ulusoy, Özgür
Date
2010Source Title
Computer Vision and Image Understanding
Print ISSN
1077-3142
Publisher
Academic Press
Volume
114
Issue
1
Pages
125 - 134
Language
English
Type
ArticleItem Usage Stats
143
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140
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Abstract
We present a fuzzy color histogram-based shot-boundary detection algorithm specialized for content-based copy detection applications. The proposed method aims to detect both cuts and gradual transitions (fade, dissolve) effectively in videos where heavy transformations (such as cam-cording, insertions of patterns, strong re-encoding) occur. Along with the color histogram generated with the fuzzy linking method on L*a*b* color space, the system extracts a mask for still regions and the window of picture-in-picture transformation for each detected shot, which will be useful in a content-based copy detection system. Experimental results show that our method effectively detects shot boundaries and reduces false alarms as compared to the state-of-the-art shot-boundary detection algorithms. © 2009 Elsevier Inc. All rights reserved.
Keywords
Content - based copy detectionCut/gradual transition
Fuzzy color histogram
Shot boundary detection
Video analysis
Video segmentation
Copy detection
Image retrieval
Image segmentation
Signal detection
Color