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Learning visual concepts

Authors:

Jean M. Buijs,

Michael S. LewAuthors Info & Claims

MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 2)

Pages 5 - 7

https://doi.org/10.1145/319878.319880

Published: 01 October 1999 Publication History

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Cited By

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Lew M(2007)Visual information retrievalProceedings of the 9th international conference on Advances in visual information systems10.5555/1783294.1783296(1-4)Online publication date: 28-Jun-2007
https://dl.acm.org/doi/10.5555/1783294.1783296
Lew M(2007)Visual Information Retrieval – Future Directions and Grand ChallengesAdvances in Visual Information Systems10.1007/978-3-540-76414-4_1(1-4)Online publication date: 2007
https://doi.org/10.1007/978-3-540-76414-4_1
Deng DZhang JPurvis M(2004)Visualisation and comparison of image collections based on self-organised mapsProceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 3210.5555/976440.976454(97-102)Online publication date: 1-Jan-2004
https://dl.acm.org/doi/10.5555/976440.976454
Show More Cited By

Index Terms

Learning visual concepts
1. Computing methodologies
  1. Machine learning
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Multimedia information systems

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Published In

MULTIMEDIA '99: Proceedings of the seventh ACM international conference on Multimedia (Part 2)

October 1999

228 pages

ISBN:1581132395

DOI:10.1145/319878

Chairmen:
John Buford,
Scott Stevens

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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Publication History

Published: 01 October 1999

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MM99

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MM99: ACM Multimedia 1999

October 30 - November 5, 1999

Florida, Orlando, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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Lew M(2007)Visual information retrievalProceedings of the 9th international conference on Advances in visual information systems10.5555/1783294.1783296(1-4)Online publication date: 28-Jun-2007
https://dl.acm.org/doi/10.5555/1783294.1783296
Lew M(2007)Visual Information Retrieval – Future Directions and Grand ChallengesAdvances in Visual Information Systems10.1007/978-3-540-76414-4_1(1-4)Online publication date: 2007
https://doi.org/10.1007/978-3-540-76414-4_1
Deng DZhang JPurvis M(2004)Visualisation and comparison of image collections based on self-organised mapsProceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 3210.5555/976440.976454(97-102)Online publication date: 1-Jan-2004
https://dl.acm.org/doi/10.5555/976440.976454
Bal HBhoedjang RHofman RJacobs CKielmann TMaassen Jvan Nieuwpoort RRomein JRenambot LRühl TVeldema RVerstoep KBaggio ABallintijn GKuz IPierre Gvan Steen MTanenbaum ADoornbos GGermans DSpoelder HBaerends Evan Gisbergen SAfsermanesh Hvan Albada DBelloum ADubbeldam DHendrikse ZHertzberger BHoekstra AIskra KKandhai DKoelma Dvan der Linden FOvereinder BSloot PSpinnato PEpema Dvan Gemund AJonker PRadulescu Avan Reeuwijk CSips HKnijnenburg PLew MSluiter FWolters LBlom Hde Laat Cvan der Steen A(2000)The distributed ASCI Supercomputer projectACM SIGOPS Operating Systems Review10.1145/506106.50611534:4(76-96)Online publication date: 1-Oct-2000
https://dl.acm.org/doi/10.1145/506106.506115

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Selective visual attention enables learning and recognition of multiple objects in cluttered scenes

Bayesian feature evaluation for visual saliency estimation

Descriptive visual words and visual phrases for image applications