A Novel Fade Detection Algorithm on H.264/AVC Compressed Domain

With the increasing use and availability of digital video, shot boundary detection, as a fundamental step in automatic video content analysis and retrieval, has received extensive attention in recent years. But the problem of detecting gradual transitions such as fades, especially in the compressed domain, has yet to be solved. In this paper, a new robust compressed domain fade detection method is proposed, which is based on the luminance weighting factors available at slice level in H.264 compressed video. Simplicity and working directly in the H.264 compressed domain with high precision and recall are the main advantages of the novel algorithm.

[1]  Wen Gao,et al.  A novel compressed domain shot segmentation algorithm on H.264/AVC , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[2]  Iain E. G. Richardson,et al.  H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia , 2003 .

[3]  Seungwook Hong,et al.  An efficient video segmentation scheme for MPEG video stream using macroblock information , 1999, MULTIMEDIA '99.

[4]  Janko Calic,et al.  Towards real-time shot detection in the mpeg compressed domain , 2001 .

[5]  Oscar C. Au,et al.  Efficient and reliable scene change detection in MPEG compressed video , 2005, Visual Communications and Image Processing.

[6]  Jianmin Jiang,et al.  An improved algorithm for shot cut detection , 2005, Visual Communications and Image Processing.

[7]  Rainer Lienhart,et al.  Reliable Transition Detection in Videos: A Survey and Practitioner's Guide , 2001, Int. J. Image Graph..

[8]  Bo Zhang,et al.  A novel shot boundary detection framework , 2005, Visual Communications and Image Processing.

[9]  Ioannis Pitas,et al.  Entropy metrics used for video summarization , 2002, SCCG '02.

[10]  Majid Mirmehdi,et al.  Detection and Classification of Shot Transitions , 2001, BMVC.

[11]  Hiroshi Ito,et al.  Fade-in/out scene change detection in the MPEG-1/2/4 compressed video domain , 1999, Electronic Imaging.

[12]  Ba Tu Truong,et al.  New enhancements to cut, fade, and dissolve detection processes in video segmentation , 2000, ACM Multimedia.

[13]  Jill M. Boyce,et al.  Weighted prediction in the H.264/MPEG AVC video coding standard , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[14]  Warnakulasuriya Anil Chandana Fernando,et al.  Fade and dissolve detection in uncompressed and compressed video sequences , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[15]  Ba Tu Truong,et al.  Improved fade and dissolve detection for reliable video segmentation , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[16]  Keiichiro Hoashi,et al.  Shot Boundary Determination on MPEC Compressed Domain and Story Segmentation Experiments for TRECVID 2003 , 2003, TRECVID.