Article

VideoGraph: a new tool for video mining and classification

Authors:

Jia-Yu Pan,

Christos FaloutsosAuthors Info & Claims

JCDL '01: Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries

Pages 116 - 117

https://doi.org/10.1145/379437.379462

Published: 01 January 2001 Publication History

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Abstract

This paper introduces Videograph, a new tool for video mining and visu alizing the structure of the plot of a video sequence. The main idea is to “stitch” together similar scenes which are apart in time. We give a fast algorithm to do stitching and we show case studies, where our approach (a) gives good features for classification (91% accuracy), and (b) results in Videographs which reveal the logical structure of the plot of the video clips.

References

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C. Faloutsos and K.-I. Lin. Fastmap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. Proceedings of the ACM SIGMOD Conference, pages 163-174, 1995.

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[2]

V. Kobla, D. Doermann, and C. Faloutsos. Videotrails: Representing and visualizing structure in video sequences. Proceeding of the Fifth ACM International Multimedia Conference, pages 335-346, November 1997.

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R. Kohavi, D. Sommerfield, and J. Dougherty. Data mining using MLC++: A machine learning library in C++. Tools with Artificial Intelligence, http://www.sgi.com/Technology/mlc.

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H. Wactlar, M. Christel, Y. Gong, and A. Hauptmann. Lessons learned from the creation and deployment ofa terabyte digital video library. IEEE Computer, 32(2):66-73, February 1999.

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Cited By

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Shirahama KGrzegorzek M(2016)Towards large-scale multimedia retrieval enriched by knowledge about human interpretationMultimedia Tools and Applications10.1007/s11042-014-2292-875:1(297-331)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1007/s11042-014-2292-8
Oh J(2009)Video Data MiningEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch312(2042-2047)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-010-3.ch312
Shirahama KIdeno KUehara K(2007)A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in VideosMultimedia Data Mining and Knowledge Discovery10.1007/978-1-84628-799-2_20(404-426)Online publication date: 2007
https://doi.org/10.1007/978-1-84628-799-2_20
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VideoGraph: a new tool for video mining and classification

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Published In

JCDL '01: Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries

January 2001

481 pages

ISBN:1581133456

DOI:10.1145/379437

Chairmen:
Edward A. Fox
Virginia Tech
,
Christine L. Borgman
UCLA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 January 2001

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JCDL01

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JCDL01: 1st ACM/IEEE-CS Joint Conference on Digital Libraries

Virginia, Roanoke, USA

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JCDL '01 Paper Acceptance Rate 76 of 250 submissions, 30%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Cited By

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Shirahama KGrzegorzek M(2016)Towards large-scale multimedia retrieval enriched by knowledge about human interpretationMultimedia Tools and Applications10.1007/s11042-014-2292-875:1(297-331)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1007/s11042-014-2292-8
Oh J(2009)Video Data MiningEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch312(2042-2047)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-010-3.ch312
Shirahama KIdeno KUehara K(2007)A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in VideosMultimedia Data Mining and Knowledge Discovery10.1007/978-1-84628-799-2_20(404-426)Online publication date: 2007
https://doi.org/10.1007/978-1-84628-799-2_20
Crockford CAgius H(2006)An empirical investigation into user navigation of digital video using the VCR-like control setInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2005.08.01264:4(340-355)Online publication date: 1-Apr-2006
https://dl.acm.org/doi/10.1016/j.ijhcs.2005.08.012
Missaoui RPalenichka RBouali FKhan LMasseglia F(2005)Effective image and video miningProceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data10.1145/1133890.1133895(43-52)Online publication date: 21-Aug-2005
https://dl.acm.org/doi/10.1145/1133890.1133895
Crockford CAgius H(2005)Modelling VCR-like video content navigationDisplays10.1016/j.displa.2005.02.00326:2(79-96)Online publication date: Apr-2005
https://doi.org/10.1016/j.displa.2005.02.003
(2004)Video Indexing and Abstraction for RetrievalContent-Based Analysis of Digital Video10.1007/1-4020-8115-4_4(107-141)Online publication date: 2004
https://doi.org/10.1007/1-4020-8115-4_4

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VideoGraph: a non-linear video representation for efficient exploration

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