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

被引：61

作者：

Saykol, E ^{[1
]}

Güdükbay, U ^{[1
]}

Ulusoy, Ö ^{[1
]}

机构：

[1] Bilkent Univ, Dept Comp Engn, TR-06800 Ankara, Turkey

来源：

IMAGE AND VISION COMPUTING | 2005年 / 23卷 / 13期

关键词：

histogram-based approach; object-based querying; query-by-shape; query-by-color; distance histogram; angle histogram; distance-weighted; color histogram;

D O I：

10.1016/j.imavis.2005.07.015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2005 Elsevier Ltd All rights reserved.

引用

页码：1170 / 1180

页数：11

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