Title :
Temporal segmentation of video using frame and histogram-space
Author :
Joyce, Robert A. ; Liu, Bede
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
Two algorithms are presented for the detection of gradual transitions in video sequences. The first is a dissolve detection algorithm utilizing certain properties of a dissolve´s trajectory in image-space. The second is an algorithm to detect a wide variety of wipes based on the image histogram characteristics during such transitions. Both algorithms operate in the compressed domain, requiring only partial decoding of the compressed video stream. Experiments show the algorithms perform well in detecting a wide variety of gradual transitions, and at a significant reduction in computation time when compared with full-frame methods
Keywords :
data compression; decoding; discrete cosine transforms; image segmentation; image sequences; transform coding; video coding; DCT coefficients; algorithms; compressed domain; compressed video stream; computation time reduction; dissolve detection algorithm; dissolve trajectory; full-frame methods; gradual transitions detection; histogram-space; image histogram characteristics; image-space; partial decoding; temporal video segmentation; video frames; video sequences; wipes; Decoding; Discrete cosine transforms; Histograms; Image coding; Image edge detection; Indexing; Layout; Streaming media; Video compression; Video sequences;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899612