Content Based Image Retrieval Using Category-Based Indexing

Wardhani, Aster W. & Thomson, Tod N. (2004) Content Based Image Retrieval Using Category-Based Indexing. In International Conference on Multimedia and Expo: (ICME '04).

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Currently, most content based image retrieval (CBIR) systems operate on all images, without sorting images into different types or categories. Different images have different characteristics and thus often require different analysis techniques and query types. Additionally, placing an image into a category can help the user to navigate retrieval results more effectively. To categorise an image, firstly the dominant region needs to be extracted using multi level colour segmentation. Based on the regions’ features of colour, texture, shape and relation between regions, the image is then categorised. Users are presented with retrieval results sorted into different categories, where dominant region extraction will allow for object based retrieval to be performed.

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3 citations in Scopus
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ID Code: 743
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/ICME.2004.1394317
ISBN: 0780386035
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2004 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 18 Oct 2005 00:00
Last Modified: 09 Jun 2010 12:23

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