A survey of browsing models for content based image retrieval

The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an automated search for relevant images by submitting an image or draw a sketch that exemplifies their information need. Ofte...

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Bibliographic Details
Published in:Multimedia tools and applications 2008-11, Vol.40 (2), p.261-284
Main Author: Heesch, Daniel
Format: Article
Language:English
Subjects:
Automation
Cognition & reasoning
Collections
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Feedback
Image retrieval
Information retrieval
Multimedia Information Systems
Query formulation
Relevance feedback
Special Purpose and Application-Based Systems
Studies
Web browsers
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Summary:The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an automated search for relevant images by submitting an image or draw a sketch that exemplifies their information need. Often, relevance feedback is incorporated as a post-retrieval step for optimising the way evidence from different visual features is combined. While this sustained methodological focus has helped CBIR to mature, it has also brought out its limitations more clearly: There is often little support for exploratory search and scaling to very large collections is problematic. Moreover, the assumption that users are always able to formulate an appropriate query is questionable. An effective, albeit much less studied, method of accessing image collections based on visual content is that of browsing. The aim of this survey paper is to provide a structured overview of the different models that have been explored over the last one to two decades, to highlight the particular challenges of the browsing approach and to focus attention on a few interesting issues that warrant more intense research.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-008-0207-2