An efficient perceptual color indexing method for content-based image retrieval using uniform color space

Dominant Color Descriptor (DCD) is one of the famous descriptors in Content-based image retrieval (CBIR).Sequential search is one of the common drawbacks of most color descriptors especially in large databases.In this paper, dominant colors of an image are indexed to avoid sequential search in the d...

詳細記述

保存先:
書誌詳細
主要な著者: Talib, Ahmed, Mahmuddin, Massudi, Husni, Husniza, George, Loay E.
その他の著者: Herawan, Tutut
フォーマット: Book Section
出版事項: Springer 2013
主題:
オンライン・アクセス:http://repo.uum.edu.my/12583/
http://dx.doi.org/10.1007/978-981-4585-18-7_45
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
その他の書誌記述
要約:Dominant Color Descriptor (DCD) is one of the famous descriptors in Content-based image retrieval (CBIR).Sequential search is one of the common drawbacks of most color descriptors especially in large databases.In this paper, dominant colors of an image are indexed to avoid sequential search in the database where uniform RGB color space is used to index images in LUV perceptual color space.Proposed indexing method will speed up the retrieval process where the dominant colors in query image are used to reduce the search space.Additionally, the accuracy of color descriptors is improved due to this space reduction. Experimental results show effectiveness of the proposed color indexing method in reducing search space to less than 25 % without degradation the accuracy.