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

Keum Sung Hwang, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings
PublisherSpringer Verlag
Pages1143-1150
Number of pages8
Volume4179 LNCS
ISBN (Print)3540446303, 9783540446309
Publication statusPublished - 2006 Jan 1
Event8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 - Antwerp, Belgium
Duration: 2006 Sep 182006 Sep 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4179 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006
CountryBelgium
CityAntwerp
Period06/9/1806/9/21

Fingerprint

Extractor
Bayesian networks
Bayesian Networks
Logic
Learnability
Probabilistic Approach
Reasoning
Real-time
Uncertainty
Experiments
Requirements
Experiment
Context
Learning
Vision

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Theoretical Computer Science

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 (Vol. 4179 LNCS, 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.
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. Vol. 4179 LNCS 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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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.",
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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. vol. 4179 LNCS, 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.

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. Vol. 4179 LNCS 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 proceedingConference 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. Vol. 4179 LNCS. Springer Verlag. 2006. p. 1143-1150. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).