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Proceedings Paper

Composition of MPEG-7 color and edge descriptors based on human vision perception
Author(s): Abolfazl Lakdashti; Neda Kialashaki; Alireza Ghonoodi; Mahyar Soltani
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Paper Abstract

In content based image retrieval similarity measurement is one of the most important aspects in a large image database for efficient search and retrieval to find the best answer for a user query. Color and texture are among the more expressive of the visual features. Considerable work has been done in designing efficient descriptors for these features for applications such as similarity retrieval. The MPEG-7 specifies a standard set of descriptors for color, texture and shape. In the Human Vision System (HVS), visual information is not perceived equally; some information may be more important than other information. The purpose of this paper is to show how the MPEG-7 descriptor based on human vision system can be efficiently utilized for image matching. We considered scalable color descriptor (SCD) and edge histogram descriptor (EHD) descriptors of MPEG7. To increase the matching performance we used Linde-Buzo-Gray (LBG) vector quantization algorithm and image splitting by magnitude weighting technique for efficient use of SCD and EHD, respectively. The proposed matching method is considered to be a more efficient image content-based retrieval than EHD and SCD. Experimental results support this claim. Experiments on 3000 images from Corel Photo collections show that the proposed method yields better retrieval performance especially for semantic similarity.

Paper Details

Date Published: 24 June 2005
PDF: 8 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59601P (24 June 2005); doi: 10.1117/12.631571
Show Author Affiliations
Abolfazl Lakdashti, Islamic Azad Univ./Sari Campus (Iran)
Iran Telecom Research Ctr. (Iran)
Sharif Univ. of Technology (Iran)
Neda Kialashaki, Islamic Azad Univ./Sari Campus (Iran)
Alireza Ghonoodi, Islamic Azad Univ./Sari Campus (Iran)
Mahyar Soltani, Sharif Univ. of Technology (Iran)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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