Automatic detection of fade-in and fade-out in video sequences

WAC Fernando, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

13 Citations (Scopus)
320 Downloads (Pure)


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 contributionAutomatic Detection of Fade-in and Fade-out in Video Sequences
Original languageEnglish
Title of host publicationProceddings of ISACAS, Image and Video Processing, Multimedia and Communications, Florida
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages255 - 258
ISBN (Print)0780354710
Publication statusPublished - May 1999
EventIEEE International Symposium on Circuits and Systems, 1999 - Orlando, Florida, United States
Duration: 1 May 1999 → …


ConferenceIEEE International Symposium on Circuits and Systems, 1999
Abbreviated titleISCAS '99
Country/TerritoryUnited States
CityOrlando, Florida
Period1/05/99 → …

Bibliographical note

Rose 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.

Terms of use: Copyright © 1999 IEEE. Reprinted from IEEE International Symposium on Circuits and Systems, 1999 (ISCAS '99).

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