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Video summarization by curve simplification

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

229 Scopus citations

Abstract

A video sequence can be represented as a trajectory curve in a high dimensional feature space. This video curve can be analyzed by took similar to those developed for planar curves. In particular, the classic binary curve splitting algorithm has been found to be a useful tool for video analysis. With a splitting condition that checks the dimensionality of the curve segment being split, the video curve can be recursively simplified and represented as a tree structure, and the frames that are found to be junctions between curve segments at different levels of the tree can be used as keyframes to summarize the video sequences at different levels of detail. These keyframes can be combined in various spatial and temporal configurations for browsing purposes. We describe a simple video player that displays the keyframes sequentially and lets the user change the summarization level on the fly with an additional slider.

Original languageEnglish
Title of host publicationProceedings of the 6th ACM International Conference on Multimedia, MULTIMEDIA 1998
PublisherAssociation for Computing Machinery
Pages211-218
Number of pages8
ISBN (Print)0201309904, 9780201309904
DOIs
StatePublished - 1998
Event6th ACM International Conference on Multimedia, MULTIMEDIA 1998 - Bristol, United Kingdom
Duration: Sep 13 2014Sep 16 2014

Publication series

NameProceedings of the 6th ACM International Conference on Multimedia, MULTIMEDIA 1998

Conference

Conference6th ACM International Conference on Multimedia, MULTIMEDIA 1998
Country/TerritoryUnited Kingdom
CityBristol
Period09/13/1409/16/14

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