Control Structures for Incorporating Picture-Specific Context in Image Interpretation
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.
@inproceedings{ijcai1995p7,
title = {Control Structures for Incorporating Picture-Specific Context in Image Interpretation},
author = {Chopra, Rajiv and Srihari, Rohini K.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {50--54},
year = {1995},
note = {Action and Perception},
url = {https://ijcai.org/proceedings/1995/7},
}
TY - CPAPER TI - Control Structures for Incorporating Picture-Specific Context in Image Interpretation AU - Chopra, Rajiv AU - Srihari, Rohini K. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 50 EP - 54 UR - https://ijcai.org/proceedings/1995/7 ER -Copied
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