NDLI: Defining spatial context for focused image analysis

Content Provider	IEEE Xplore Digital Library
Author	Leiguang Gong Kulikowski, C.A.
Copyright Year	2000
Description	Author affiliation: IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA (Leiguang Gong)
Abstract	Most human commonsense problem solving is done within a context, which constrains the solution space, whether it involves perception and image interpretation or not. Yet most research in image analysis still assumes context is defined a-priori by the investigator and is external to the computational image analysis system. Where explicit focus of attention and spatial contexts are used, as in active vision systems, these are problem-specific. We report on a new approach to image analysis, which includes a general framework for defining spatial context in terms of reference objects and their spatial relationships to other objects in a scene. Image analysis problems are decomposed into a sequence of sub-problems corresponding to determining a sequence of spatial contexts based on the set of dynamically chosen reference objects. The experimental results with medical image analysis and interpretation have demonstrated that using reference objects to define spatial contexts is a very effective strategy for computer image analysis systems that can purposely focus the image analysis effort on the most promising part of the entire image, such that the target object can be quickly and accurately localized by eliminating most potential false positives.
Sponsorship	Raytheon
Starting Page	1184
Ending Page	1187
File Size	343674
Page Count	4
File Format	PDF
ISBN	0780370872
ISSN	1062922X
DOI	10.1109/ICSMC.2001.973080
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Focusing Image analysis Image sequence analysis Layout Humans Problem-solving Biomedical imaging Machine vision Computer science Artificial intelligence
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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