An application of multiple viewpoints to content-based image retrieval
James C. French,A. C. Chapin,Worthy N. Martin +2 more
- pp 128-130
TLDR
This work presents an example of this "multiple viewpoint" approach, multiple image channels, and discusses its advantages for an image-seeking user.Abstract:
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the results presented to a user without changing the underlying feature extraction or search technologies. We present an example of this "multiple viewpoint" approach, multiple image channels, and discuss its advantages for an image-seeking user. This approach has also been shown to dramatically improve retrieval effectiveness in content-based image retrieval systems [J.C. French et al., (2003)].read more
Citations
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Journal Article
Content-Based Image Retrieval: Theory and Applications.
TL;DR: The problems and challenges with the creation of CBIR systems are introduced, the existing solutions and appl ications are described, and the state of the art of the existing research in this area is presented.
Proceedings ArticleDOI
Addressing the challenge of visual information access from digital image and video libraries
TL;DR: Analysis of TRECVID visual features well suited for particular tasks provides additional insights into the role of automated feature classification for digital image and video libraries.
Journal ArticleDOI
Computational Perceptual Features for Texture Representation and Retrieval
TL;DR: A new method to estimate a set of perceptual textural features, namely coarseness, directionality, contrast, and busyness is presented, which is applied to content-based image retrieval on a large image data set, the well-known Brodatz database.
Journal ArticleDOI
An effective similarity measure via genetic algorithm for Content-Based Image Retrieval with extensive features
TL;DR: With the aid of image content, the relevant images can be extracted from the image in the Content Based Image Retrieval (CBIR) system and from GA based similarity measure, relevant images are retrieved and evaluated by querying different images.
Patent
Image processing system and method
TL;DR: In this article, an automated library user interface presents selectable matched object descriptor data associated with the image descriptor library data when a recognition match occurs between the selected object data of the digital image and the image descriptors library data.
References
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Proceedings Article
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Proceedings Article
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Journal ArticleDOI
Multiple viewpoints as an approach to digital library interfaces
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