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Product Title: Content Based Image Retrieval Using Semantic Visual Categories

Updated from Personify: 2014-11-06

Personify Product Code: TP01PUB112

Personify Product ID:       126070

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Author: Christopher Town, David Sinclair

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Published Date: 2001-01-10

Page Count: 15

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Product Type:   TECHPAPER

 

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This paper demonstrates an approach to content-based image retrieval founded on the semantically meaningful labeling of images by high-level visual categories. The image labeling is achieved through a set of trained neural network classifiers operating on segmented image regions. It is argued that the semantic terms give a good estimate of the salient features important for discrimination in image retrieval. Furthermore, it is shown that the choice of visual categories such as grass or sky that mirror human perception allows the implementation of intuitive and versatile query composition interfaces and a variety of image similarity metrics. Authors: Christopher Town, David Sinclair, AT&T Laboratories, Cambridge, UK.

 

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