A histogram-based approach for object-based query-by-shape-and-color in image and video databases
Date
2005Source Title
Image and Vision Computing
Print ISSN
0262-8856 1872-8138
Publisher
Elsevier
Volume
23
Issue
13
Pages
1170 - 1180
Language
English
Type
ArticleItem Usage Stats
241
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views
197
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downloads
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.
Keywords
Angle histogramDistance 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
Permalink
http://hdl.handle.net/11693/23955Published Version (Please cite this version)
http://dx.doi.org/10.1016/j.imavis.2005.07.015Collections
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