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
|Translated title of the contribution||Fade and Dissolve detection in Uncompressed and Compressed Video Sequences|
|Title of host publication||Proc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||299 - 303|
|Publication status||Published - Oct 1999|
|Event||International Conference on Image Processing - Kobe, Japan|
Duration: 1 Oct 1999 → …
|Conference||International Conference on Image Processing|
|Period||1/10/99 → …|
Bibliographical noteOther: Paper No. 915
Rose publication type: Conference contribution
Sponsorship: WAC Fernando would like to express his gratitude and sincere appreciation to the University of Bristol and CVCP for providing financial support for this work
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