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Semi-automatic BPT for image retrieval

Ghanbari, S and Woods, JC and Lucas, SM (2009) Semi-automatic BPT for image retrieval. In: UNSPECIFIED, ? - ?.

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This paper presents a novel semi-automatic tool for content retrieval. A multi-dimension 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 semiautomatic tool allows users to have more freedom in their choice of query. The paper illustrates how the use of multi-dimensional information can significantly enhance content retrieval results for natural images. © 2009 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 7th International Workshop on Content-Based Multimedia Indexing, CBMI 2009
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 11 Oct 2012 13:46
Last Modified: 23 Jan 2019 02:15

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