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10.1109/SIBGRAPI.2008.31guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation

Published: 12 October 2008 Publication History

Abstract

In this paper, we propose an approach for video summarization (VSUMM). The video summaries are generated based on visual features. A factorial experiment is designed to analyze the relative impact of the attributes. We demonstrate the validity of the VSUMM approach by testing it on a collection of videos from Open Video Project. We provide a comparison among results of the proposed summarization technique with Open Video storyboard. A subjective evaluation showed that the summaries are produced with good quality.

Cited By

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  • (2020)Performance over RandomProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413632(1056-1064)Online publication date: 12-Oct-2020
  • (2017)Automatically Creating Adaptive Video Summaries Using Constraint Satisfaction ProgrammingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.251367827:4(920-934)Online publication date: 1-Apr-2017
  • (2015)Summarizing Videos by Key frame extraction using SSIM and other Visual FeaturesProceedings of the Sixth International Conference on Computer and Communication Technology 201510.1145/2818567.2818607(209-213)Online publication date: 25-Sep-2015
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image Guide Proceedings
SIBGRAPI '08: Proceedings of the 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing
October 2008
307 pages
ISBN:9780769533582

Publisher

IEEE Computer Society

United States

Publication History

Published: 12 October 2008

Author Tags

  1. keyframes
  2. quantitative evaluation
  3. video summarization

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Cited By

View all
  • (2020)Performance over RandomProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413632(1056-1064)Online publication date: 12-Oct-2020
  • (2017)Automatically Creating Adaptive Video Summaries Using Constraint Satisfaction ProgrammingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.251367827:4(920-934)Online publication date: 1-Apr-2017
  • (2015)Summarizing Videos by Key frame extraction using SSIM and other Visual FeaturesProceedings of the Sixth International Conference on Computer and Communication Technology 201510.1145/2818567.2818607(209-213)Online publication date: 25-Sep-2015
  • (2012)The video summary GWAPProceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies10.1145/2362456.2362476(1-7)Online publication date: 5-Sep-2012
  • (2011)News browsing systemProceedings of the 19th ACM international conference on Multimedia10.1145/2072298.2072415(671-674)Online publication date: 28-Nov-2011
  • (2010)A static video summarization method based on hierarchical clusteringProceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications10.5555/1948207.1948221(46-54)Online publication date: 8-Nov-2010
  • (2010)EVEREVISProceedings of the International Conference on Advanced Visual Interfaces10.1145/1842993.1843066(373-376)Online publication date: 26-May-2010
  • (2009)An environment for video content indexing and retrieval base don visual featuresProceedings of the XV Brazilian Symposium on Multimedia and the Web10.1145/1858477.1858502(1-8)Online publication date: 5-Oct-2009

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