DocumentCode :
2323693
Title :
Semi-automatic BPT for Image Retrieval
Author :
Ghanbari, Shirin ; Woods, John C. ; Lucas, Simon M.
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
33
Lastpage :
37
Abstract :
This paper presents a novel semi-automatic tool for content retrieval. A multidimension binary partition tree (BPT) is generated to perform object based image retrieval. The tree is colour based but has the advantage of incorporating spatial frequency to form semantically meaningful tree nodes. For retrieval, a node of the query image is matched against the nodes of the BPT of the database image. These are matched according to a combination of colour histograms, texture features and edge histograms. This semi-automatic tool allows users to have more freedom in their choice of query. The paper illustrates how the use of multidimensional information can significantly enhance content retrieval results for natural images.
Keywords :
content-based retrieval; image colour analysis; image retrieval; image texture; visual databases; colour histograms; database image; edge histograms; image enhancement; image retrieval; multidimension binary partition tree; query image; texture features; tree nodes; Content based retrieval; Data mining; Frequency; Histograms; Humans; Image databases; Image retrieval; Image segmentation; Information retrieval; Merging; binary partition tree; image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Content-Based Multimedia Indexing, 2009. CBMI '09. Seventh International Workshop on
Conference_Location :
Chania
Print_ISBN :
978-1-4244-4265-2
Electronic_ISBN :
978-0-7695-3662-0
Type :
conf
DOI :
10.1109/CBMI.2009.17
Filename :
5137812
Link To Document :
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