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
         
        
        
            fDate : 
Aug. 29 2008-Sept. 2 2008
         
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
         
        
            Conference_Location : 
Singapore
         
        
            Print_ISBN : 
978-0-7695-3308-7
         
        
        
            DOI : 
10.1109/ICCSIT.2008.159