Statistical feature extraction from compressed video sequences

WAC Fernando, CN Canagarajah, DR Bull

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

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Abstract

To maximise the benefits from data compression, it would be advantageous to develop algorithms that do not require decompression to extract relevant information for post processing. In this paper, a novel technique for extracting variance is proposed for MPEG-2 compressed video using Parseval's theorem. Results show that the estimated variance closely matches with the actual variance. Furthermore, this technique is applied to identify scene changes in the compressed domain
Translated title of the contributionStatistical Feature Extraction from Compressed Video Sequences
Original languageEnglish
Title of host publicationIEEE Int. Conf. on Image Processing (ICIP), Vancouver
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages925 - 928
Volume3
ISBN (Print)0780362977
DOIs
Publication statusPublished - Sep 2000
EventInternational Conference on Image Processing (2000) - Vancouver, BC, Canada
Duration: 1 Sep 2000 → …

Conference

ConferenceInternational Conference on Image Processing (2000)
CountryCanada
CityVancouver, BC
Period1/09/00 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: W 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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