DocumentCode :
2832687
Title :
Fade Scene Change Detection using Luminance Histogram Bin
Author :
Kompreyarat, W. ; Srinonchat, J.
Author_Institution :
Dept. of Electron. & Telecommun. Eng., Rajamangala Univ. of Technol., Thanyaburi
fYear :
2008
fDate :
Aug. 29 2008-Sept. 2 2008
Firstpage :
39
Lastpage :
43
Abstract :
Partitioning video sequence is very important for video applications such as video indexing, retrieval or editing. A lot of techniques have been presented based on information such as structures of the image, image histogram and intensity statistics etc. The histogram-based technique is generally used due to computation complexity when compare with other techniques is less, and most of image processing applications, image histogram have been already computed. This paper presents a new technique to detect the fade scene change from the video scene that contain noise and/or contain logo and compared it with other algorithm that using histogram. The result showed that the proposed algorithm is much better.
Keywords :
image segmentation; image sequences; video signal processing; fade scene change detection; image histogram; luminance histogram bin; video editing; video indexing; video retrieval; video scene; video sequence partitioning; Application software; Change detection algorithms; Computer science; Histograms; Indexing; Information retrieval; Information technology; Layout; Statistics; Video sequences; Fade Scene Change; Scene Change Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
Type :
conf
DOI :
10.1109/ICCSIT.2008.159
Filename :
4624829
Link To Document :
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