Paper Info
Title
Video Segmentation by Two Measures and Two Thresholds
Abstract
Video partitioning is a key issue in video classification that facilitates the management of video resources. The video partitioning involves the detection of boundaries between uninterrupted segments (video shots). Shot boundaries can be classified into two categories, gradual transition and abrupt change. Detection of a gradual transition is considered to be difficult. Few methods have been reported for gradual transition detection. In this paper, a new approach called two Measures Two Thresholds (TMTT) is proposed. The method requires the use of two measures and consective frames with a smaller Threshold (Ts), possible shot boundaries are located. Then false boundaries are discarded by comparing their color ratio histogram with another threshold that is used to measure the similarity of content of the frames. The efficiency of TMTT is promising according to the analysis of some experimental results.
Year
DOI
Venue
2000
10.1007/3-540-44491-2_66
IDEAL
Keywords
Field
DocType
possible shot boundary,shot boundary,video segmentation,video partitioning,gradual transition detection,video classification,video resource,gradual transition,color ratio histogram,abrupt change,video shot,change detection
Computer vision,Gradual transition,Histogram,Video production,Pattern recognition,Computer science,Segmentation,Image segmentation,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
3-540-41450-9
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Dalong Li116711.77
Hanqing Lu24620291.38
Dong Zhang312517.08