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

doi:10.1007/11414353_14

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/Conference proceeding › Conference contribution

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. © Springer-Verlag Berlin Heidelberg 2006.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	221-246
Number of pages	25
Volume	3948
ISBN (Print)	9783540339717
DOIs	https://doi.org/10.1007/11414353_14
Publication status	Published - 2006
Event	Cognitive Vision Systems, Sampling the Spectrum of Approaches [based on a Dagstuhl seminar] - Duration: 1 Jan 1824 → … http://dblp.uni-trier.de/db/conf/dagstuhl/vision2006.html#CohnHBDGMNS06http://dblp.uni-trier.de/rec/bibtex/conf/dagstuhl/CohnHBDGMNS06.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/dagstuhl/CohnHBDGMNS06

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Name	Lecture Notes in Computer Science

Conference

Conference	Cognitive Vision Systems, Sampling the Spectrum of Approaches [based on a Dagstuhl seminar]
Period	1/01/24 → …
Internet address	http://dblp.uni-trier.de/db/conf/dagstuhl/vision2006.html#CohnHBDGMNS06http://dblp.uni-trier.de/rec/bibtex/conf/dagstuhl/CohnHBDGMNS06.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/dagstuhl/CohnHBDGMNS06

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10.1007/11414353_14

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 3948, pp. 221-246). (Lecture Notes in Computer Science). Springer Nature. https://doi.org/10.1007/11414353_14

Cohn, A. G. ; Hogg, D. C. ; Bennett, B. et al. / Cognitive vision: Integrating symbolic qualitative representations with computer vision. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 3948 Springer Nature, 2006. pp. 221-246 (Lecture Notes in Computer Science).

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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. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 3948, Lecture Notes in Computer Science, Springer Nature, pp. 221-246, Cognitive Vision Systems, Sampling the Spectrum of Approaches [based on a Dagstuhl seminar], 1/01/24. https://doi.org/10.1007/11414353_14

Cognitive vision: Integrating symbolic qualitative representations with computer vision. / Cohn, A. G.; Hogg, D. C.; Bennett, B. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 3948 Springer Nature, 2006. p. 221-246 (Lecture Notes in Computer Science).

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

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T1 - Cognitive vision: Integrating symbolic qualitative representations with computer vision

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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. © Springer-Verlag Berlin Heidelberg 2006.

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 3948. Springer Nature. 2006. p. 221-246. (Lecture Notes in Computer Science). doi: 10.1007/11414353_14

Cognitive vision: Integrating symbolic qualitative representations with computer vision

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