Cognitive vision: Integrating symbolic qualitative representations with computer vision

A. G. Cohn; D. C. Hogg; B. Bennett; V. Devin; A. Galata; D. R. Magee; C. Needham; P. Santos

Cognitive vision: Integrating symbolic qualitative representations with computer vision

A. G. Cohn, D. C. Hogg, B. Bennett, V. Devin, A. Galata, D. R. Magee, C. Needham, P. Santos

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

14 Citations (Scopus)

Abstract

We describe the challenge of combining continuous computer vision techniques and qualitative, symbolic methods to achieve a system capable of cognitive vision. Key to a truly cognitive system, is the ability to learn: to be able to build and use models constructed autonomously from sensory input. In this paper we overview a number of steps we have taken along the route to the construction of such a system, and discuss some remaining challenges.

Original language	English
Title of host publication	Cognitive Vision Systems
Subtitle of host publication	Sampling the Spectrum of Approaches
Editors	Henrik Christensen, Hans-Hellmut Nagel
Place of Publication	Germany
Publisher	Springer-Verlag
Pages	221-246
Number of pages	26
ISBN (Print)	9783540339717
Publication status	Published - 1 Dec 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3948 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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Cohn, A. G., Hogg, D. C., Bennett, B., Devin, V., Galata, A., Magee, D. R., Needham, C., & Santos, P. (2006). Cognitive vision: Integrating symbolic qualitative representations with computer vision. In H. Christensen, & H-H. Nagel (Eds.), Cognitive Vision Systems: Sampling the Spectrum of Approaches (pp. 221-246). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3948 LNCS). Springer-Verlag.

Cohn, A. G. ; Hogg, D. C. ; Bennett, B. ; Devin, V. ; Galata, A. ; Magee, D. R. ; Needham, C. ; Santos, P. / Cognitive vision : Integrating symbolic qualitative representations with computer vision. Cognitive Vision Systems: Sampling the Spectrum of Approaches. editor / Henrik Christensen ; Hans-Hellmut Nagel. Germany : Springer-Verlag, 2006. pp. 221-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Cohn, {A. G.} and Hogg, {D. C.} and B. Bennett and V. Devin and A. Galata and Magee, {D. R.} and C. Needham and P. Santos",

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Cohn, AG, Hogg, DC, Bennett, B, Devin, V, Galata, A, Magee, DR, Needham, C & Santos, P 2006, Cognitive vision: Integrating symbolic qualitative representations with computer vision. in H Christensen & H-H Nagel (eds), Cognitive Vision Systems: Sampling the Spectrum of Approaches. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3948 LNCS, Springer-Verlag, Germany, pp. 221-246.

Cognitive vision : Integrating symbolic qualitative representations with computer vision. / Cohn, A. G.; Hogg, D. C.; Bennett, B.; Devin, V.; Galata, A.; Magee, D. R.; Needham, C.; Santos, P.

Cognitive Vision Systems: Sampling the Spectrum of Approaches. ed. / Henrik Christensen; Hans-Hellmut Nagel. Germany : Springer-Verlag, 2006. p. 221-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3948 LNCS).

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

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T2 - Integrating symbolic qualitative representations with computer vision

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AU - Hogg, D. C.

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AU - Devin, V.

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AU - Magee, D. R.

AU - Needham, C.

AU - Santos, P.

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AB - We describe the challenge of combining continuous computer vision techniques and qualitative, symbolic methods to achieve a system capable of cognitive vision. Key to a truly cognitive system, is the ability to learn: to be able to build and use models constructed autonomously from sensory input. In this paper we overview a number of steps we have taken along the route to the construction of such a system, and discuss some remaining challenges.

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Cohn AG, Hogg DC, Bennett B, Devin V, Galata A, Magee DR et al. Cognitive vision: Integrating symbolic qualitative representations with computer vision. In Christensen H, Nagel H-H, editors, Cognitive Vision Systems: Sampling the Spectrum of Approaches. Germany: Springer-Verlag. 2006. p. 221-246. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Cognitive vision: Integrating symbolic qualitative representations with computer vision

Abstract

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