A histogram-based approach for object-based query-by-shape-and-color in image and video databases

Date
2005
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
Image and Vision Computing
Print ISSN
0262-8856
1872-8138
Electronic ISSN
Publisher
Elsevier
Volume
23
Issue
13
Pages
1170 - 1180
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
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Abstract

Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized histograms, (i.e. distance, angle, and color histograms) to store feature-based information that is extracted from objects. The objects can be extracted from images or video frames. The proposed histogram-based approach is used as a component in the query-by-feature subsystem of a video database management system. The color and shape information is handled together to enrich the querying capabilities for content-based retrieval. The evaluation of the retrieval effectiveness and the robustness of the proposed approach is presented via performance experiments. © 2005 Elsevier Ltd. All rights reserved.

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Keywords
Angle histogram, Distance histogram, Distance-weighted color histogram, Histogram-based approach, Object-based querying, Query-by-color, Query-by-shape, Database systems, Image retrieval, Performance, Query languages, Robustness (control systems), Video signal processing, Angle histogram, Distance histogram, Distance-weighted color histogram, Object-based querying, Query by color, Query by shape, Color image processing
Citation
Published Version (Please cite this version)