Arc and path consistence revisited
Artificial Intelligence
Readings in computer vision: issues, problems, principles, and paradigms
Readings in computer vision: issues, problems, principles, and paradigms
Knowledge Structuring and Constraint Satisfaction: The Mapsee Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
ERNEST: A Semantic Network System for Pattern Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-Based Vision: Recognizing Objects Using Information from Both 2D and 3D Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Natural object recognition
Visual semantics: extracting visual information from text accompanying pictures
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Reasoning about success and failure in aerial image understanding
Reasoning about success and failure in aerial image understanding
Name-It: Naming and Detecting Faces in News Videos
IEEE MultiMedia
Show&Tell: A Semi-Automated Image Annotation System
IEEE MultiMedia
Finding rows of people in group images
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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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.