Paper
24 June 2005 Composition of MPEG-7 color and edge descriptors based on human vision perception
Abolfazl Lakdashti, Neda Kialashaki, Alireza Ghonoodi, Mahyar Soltani
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59601P (2005) https://doi.org/10.1117/12.631571
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abolfazl Lakdashti, Neda Kialashaki, Alireza Ghonoodi, and Mahyar Soltani "Composition of MPEG-7 color and edge descriptors based on human vision perception", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59601P (24 June 2005); https://doi.org/10.1117/12.631571
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Cited by 2 scholarly publications.
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KEYWORDS
Image retrieval

Single crystal X-ray diffraction

Human vision and color perception

Feature extraction

Quantization

RGB color model

Visualization

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