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 Cr and Cb) 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.
|Translated title of the contribution||Automatic Detection of Fade-in and Fade-out in Video Sequences|
|Title of host publication||Proceddings of ISACAS, Image and Video Processing, Multimedia and Communications, Florida|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||255 - 258|
|Publication status||Published - May 1999|
|Event||IEEE International Symposium on Circuits and Systems, 1999 - Orlando, Florida, United States|
Duration: 1 May 1999 → …
|Conference||IEEE International Symposium on Circuits and Systems, 1999|
|Abbreviated title||ISCAS '99|
|Period||1/05/99 → …|
Bibliographical noteRose publication type: Conference contribution
Sponsorship: Authors would like to express their gratitude and sincere appreciation to the University of Bristol and CVCP for providing financial support for this work.
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