Title :
Fade and dissolve detection in uncompressed and compressed video sequences
Author :
Fernando, W.A.C. ; Canagarajah, C.N. ; Bull, D.R.
Author_Institution :
Centre for Commun. Res., Bristol Univ., UK
Abstract :
Automatic identification of special effects is a prerequisite for video indexing and intelligent video encoding. In this paper we present an algorithm for fade and dissolve scene change detection in video sequences. We use statistical features of the images to identify these special effects in uncompressed video. DC-estimation is used to evaluate statistical features both in H.263 and MPEG-2 compressed video. Results show that these special effects can be identified accurately with the proposed scheme
Keywords :
image sequences; indexing; video coding; video databases; compressed video; fade and dissolve; scene change detection; special effects; video encoding; video indexing; video sequences; Change detection algorithms; Fading; Image coding; Image storage; Indexing; Layout; Mathematical model; Video compression; Video sequences; Videoconference;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.817121
