Interactive learning of scene context extractor using combination of bayesian network and logic network

Keum Sung Hwang; Sung Bae Cho

doi:10.1007/11864349_104

Interactive learning of scene context extractor using combination of bayesian network and logic network

Keum Sung Hwang, Sung Bae Cho

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The vision-based scene understanding technique that infers scene-interpreting contexts from real-world vision data has to not only deal with various uncertain environments but also reflect user's requests. Especially, learnability is a hot issue for the system. In this paper, we adopt a probabilistic approach to overcome the uncertainty, and propose an interactive learning method using combination of Bayesian network and logic network to reflect user's requirements in real-time. The logic network works for supporting logical inference of Bayesian network. In the result of some learning experiments using interactive data, we have confirmed that the proposed interactive learning method is useful for scene context reasoning.

Original language	English
Title of host publication	Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings
Publisher	Springer Verlag
Pages	1143-1150
Number of pages	8
ISBN (Print)	3540446303, 9783540446309
DOIs	https://doi.org/10.1007/11864349_104
Publication status	Published - 2006
Event	8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 - Antwerp, Belgium Duration: 2006 Sept 18 → 2006 Sept 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4179 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006
Country/Territory	Belgium
City	Antwerp
Period	06/9/18 → 06/9/21

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11864349_104

Cite this

Hwang, K. S., & Cho, S. B. (2006). Interactive learning of scene context extractor using combination of bayesian network and logic network. In Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings (pp. 1143-1150). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4179 LNCS). Springer Verlag. https://doi.org/10.1007/11864349_104

Hwang, Keum Sung ; Cho, Sung Bae. / Interactive learning of scene context extractor using combination of bayesian network and logic network. Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings. Springer Verlag, 2006. pp. 1143-1150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Interactive learning of scene context extractor using combination of bayesian network and logic network",

abstract = "The vision-based scene understanding technique that infers scene-interpreting contexts from real-world vision data has to not only deal with various uncertain environments but also reflect user's requests. Especially, learnability is a hot issue for the system. In this paper, we adopt a probabilistic approach to overcome the uncertainty, and propose an interactive learning method using combination of Bayesian network and logic network to reflect user's requirements in real-time. The logic network works for supporting logical inference of Bayesian network. In the result of some learning experiments using interactive data, we have confirmed that the proposed interactive learning method is useful for scene context reasoning.",

author = "Hwang, {Keum Sung} and Cho, {Sung Bae}",

year = "2006",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings",

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note = "8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 ; Conference date: 18-09-2006 Through 21-09-2006",

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Hwang, KS & Cho, SB 2006, Interactive learning of scene context extractor using combination of bayesian network and logic network. in Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4179 LNCS, Springer Verlag, pp. 1143-1150, 8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006, Antwerp, Belgium, 06/9/18. https://doi.org/10.1007/11864349_104

Interactive learning of scene context extractor using combination of bayesian network and logic network. / Hwang, Keum Sung; Cho, Sung Bae.
Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings. Springer Verlag, 2006. p. 1143-1150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4179 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Hwang KS, Cho SB. Interactive learning of scene context extractor using combination of bayesian network and logic network. In Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings. Springer Verlag. 2006. p. 1143-1150. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11864349_104

Interactive learning of scene context extractor using combination of bayesian network and logic network

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