Name
Abstract | ||
|---|---|---|
A common video indexing technique is to segment video shots by identifying scene changes and then to extract features. This paper discusses a novel algorithm for detecting fade-in and fade-out using statistical features of both luminance and chrominance signals. The ratio between incremental change in the mean of the luminance signal to the chrominance (average sum of C, and C,) is considered to identify fade-in and fade-out. Results show that the algorithm is capable of detecting all fade regions accurately even the video sequence contains other special effects. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ISCAS.1999.779990 | Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium |
Keywords | DocType | Volume |
brightness,content-based retrieval,database indexing,image colour analysis,image sampling,image sequences,multimedia databases,video databases,automatic detection,chrominance signals,detection algorithm,fade-in,fade-out,feature extraction,incremental change,luminance signals,scene changes,statistical features,video editing,video indexing,video sequences,video shots segmentation | Conference | 4 |
ISBN | Citations | PageRank |
0-7803-5471-0 | 12 | 1.11 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| W. Anil C. Fernando | 1 | 270 | 23.81 |
| c n canagarajah | 2 | 172 | 17.85 |
| David R. Bull | 3 | 1736 | 189.86 |