Title :
A motion-tolerant dissolve detection algorithm
Author :
Su, Chih-Wen ; Liao, Hong-Yuan Mark ; Tyan, Hsiao-Rong ; Fan, Kuo-Chin ; Chen, Liang-Hua
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-li, Taiwan
Abstract :
Gradual shot change detection is one of the most important research issues in the field of video indexing/retrieval. Among the numerous types of gradual transitions, the dissolve-type gradual transition is considered the most common one, but it is also the most difficult one to detect. In most of the existing dissolve detection algorithms, the false/miss detection problem caused by motion is very serious. In this paper, we present a novel dissolve-type transition detection algorithm that can correctly distinguish dissolves from disturbance caused by motion. We carefully model a dissolve based on its nature and then use the model to filter out possible confusion caused by the effect of motion. Experimental results show that the proposed algorithm is indeed powerful.
Keywords :
motion estimation; object detection; video retrieval; false detection; gradual transition; motion-tolerant dissolve detection algorithm; shot change detection; video indexing; video retrieval; Change detection algorithms; Computer science; Databases; Detection algorithms; Filters; Gunshot detection systems; Indexing; Information retrieval; Motion detection; Organizing; Dissolve detection; fade detection; shot change detection;
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/TMM.2005.858394