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Fade and dissolve detection in uncompressed and compressed video sequences

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages299 - 303
ISBN (Print)0780354672
StatePublished - Oct 1999
EventInternational Conference on Image Processing - Kobe, Japan


ConferenceInternational Conference on Image Processing
Period1/10/99 → …


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

Additional information

Other: 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 Terms of use: Copyright © 1999 IEEE. Reprinted from International Conference on Image Processing, 1999 (ICIP 99). 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 By choosing to view this document, you agree to all provisions of the copyright laws protecting it.


International Conference on Image Processing

Duration1 Oct 1999 → …

Event: Conference

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