Knowledge Representation and Control in Computer Vision Systems Export

@article{citeulike:4452079, abstract = {The authors analyze the roles of knowledge and control in working computer vision systems, describe model-based vision approaches whereby models serve to expedite scene interpretation by providing expectations for what is likely to be seen, and examine context-free approaches wherein image features are matched against a priori specified-object descriptions. They compare knowledge representation schemes of formal logic, semantic nets, production systems, and frames with respect to procedural and descriptive capability. They discuss control strategies, highlighting issues of parallel vs. sequential control, local vs. global control, distributed vs. centralized control, and top-down vs. bottom-up approaches. The authors develop these concepts within the framework of well-known systems such as Acronym, Hearsay, and VISIONS, providing a review of the major issues in computer vision.}, address = {Los Alamitos, CA, USA}, author = {Rao, A. Ravishankar and Jain, Ramesh}, booktitle = {IEEE Expert}, citeulike-article-id = {4452079}, citeulike-linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/64.2096}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/64.2096}, citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=2096}, doi = {10.1109/64.2096}, issn = {0885-9000}, journal = {IEEE Intelligent Systems}, keywords = {cognitive\_vision, knowledge\_representation}, number = {1}, pages = {64--79}, posted-at = {2009-11-05 21:48:40}, priority = {2}, publisher = {IEEE Computer Society}, title = {Knowledge Representation and Control in Computer Vision Systems}, url = {http://dx.doi.org/10.1109/64.2096}, volume = {3}, year = {1988} }

TY - JOUR ID - citeulike:4452079 L3 - citeulike-article-id:4452079 N2 - The authors analyze the roles of knowledge and control in working computer vision systems, describe model-based vision approaches whereby models serve to expedite scene interpretation by providing expectations for what is likely to be seen, and examine context-free approaches wherein image features are matched against a priori specified-object descriptions. They compare knowledge representation schemes of formal logic, semantic nets, production systems, and frames with respect to procedural and descriptive capability. They discuss control strategies, highlighting issues of parallel vs. sequential control, local vs. global control, distributed vs. centralized control, and top-down vs. bottom-up approaches. The authors develop these concepts within the framework of well-known systems such as Acronym, Hearsay, and VISIONS, providing a review of the major issues in computer vision. IS - 1 JF - IEEE Intelligent Systems SN - 0885-9000 AD - Los Alamitos, CA, USA EP - 79 TI - Knowledge Representation and Control in Computer Vision Systems PB - IEEE Computer Society VL - 3 T2 - IEEE Expert SP - 64 KW - cognitive_vision KW - knowledge_representation AU - Rao, Ravishankar AU - Jain, Ramesh PY - 1988/// UR - http://dx.doi.org/10.1109/64.2096 ER -