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http://dx.doi.org/10.3745/KIPSTB.2002.9B.3.293

Gradual scene change detection using Cut frame difference and Dynamic threshold  

Yeum, Sun-Ju (Dept.of Computer Science, Kwangwoon University)
Kim, Woo-Saeng (Dept.of Computer Engineering, Kwangwoon University)
Publication Information
The KIPS Transactions:PartB / v.9B, no.3, 2002 , pp. 293-302 More about this Journal
Abstract
Gradual scene change detection is known as more difficult problem then abrupt scene change detection on video data analysis for contents based retrieval. In this paper, we present a new method for scene change detection far both abrupt and gradual change using the variable dynamic threshold arid cut frame difference (CFD). For this, We present the characteristics arid mathematical models of gradual transitions anti then, how can be detected by the CFD. And also we present new scene change detection algorithm based on cut frame difference. By the experimental result using real world video data indicate that the proposed method detect various scene changes both abrupt and gradual change efficiently without time-consuming computation and any dependency on a kind of gradual change effects.
Keywords
Video Analysis; Scene Change detection; Content-Based Search;
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Times Cited By KSCI : 1  (Citation Analysis)
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