Şaykol, E.Güdükbay, UğurUlusoy, Özgür2016-02-082016-02-0820050262-88561872-8138http://hdl.handle.net/11693/23955Considering 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.EnglishAngle histogramDistance histogramDistance-weighted color histogramHistogram-based approachObject-based queryingQuery-by-colorQuery-by-shapeDatabase systemsImage retrievalPerformanceQuery languagesRobustness (control systems)Video signal processingAngle histogramDistance histogramDistance-weighted color histogramObject-based queryingQuery by colorQuery by shapeColor image processingArticle10.1016/j.imavis.2005.07.015