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
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to firstname.lastname@example.org.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.