---
title: "Control Structures for Incorporating Picture-Specific Context in Image Interpretation"
authors:
  - "Rajiv Chopra"
  - "Rohini K. Srihari"
doi: ""
url: "https://ijcai.org/proceedings/1995/7"
pdf: "https://ijcai.org/proceedings/1995/0007.pdf"
venue: "Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence"
year: 1995
pages: "50-54"
track: "Action and Perception"
keywords:
---

# Control Structures for Incorporating Picture-Specific Context in Image Interpretation

Rajiv Chopra, Rohini K. Srihari

*Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence*, 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.