Proceedings

Control Structures for Incorporating Picture-Specific Context in Image Interpretation

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Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Action and Perception. Pages 50-54.

Abstract

This paper describes an efficient control mechanism for incorporating picture-specific context in the task of image interpretation. Although other knowledge-based vision systems use general domain context in reducing the computational burden of image interpretation, to our knowledge, this is the first effort in exploring picture-specific collateral information. We assume that constraints on the picture are generated from a natural language understanding module which processes descriptive text accompanying the pictures. We have developed a unified framework for exploiting these constraints both in the object location and identification (labeling) stage. In particular, we describe a technique for incorporating constrained search in context-based vision. Finally, we demonstrate the effectiveness of this approach in PICTION, a system that uses captions to label human faces in newspaper photographs.

Rajiv Chopra, and Rohini K. Srihari. 1995. Control Structures for Incorporating Picture-Specific Context in Image Interpretation. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 50–54. https://ijcai.org/proceedings/1995/7
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