An effective content-based visual image retrieval system

Xiuqi Li, Shu Ching Chen, Mei-Ling Shyu, Borko Furht

Research output: Chapter in Book/Report/Conference proceedingConference contribution

33 Scopus citations

Abstract

In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and query engine. Each image in the image database is represented by its visual features: color and spatial information. The system uses a color label histogram with only thirteen bins to extract the color information from an image in the image database. A unique unsupervised segmentation algorithm combined with the wavelet technique generates the spatial feature of an image automatically. The resulting feature vectors are relatively low in dimensions compared to those in other systems. The query engine employs a color filter and a spatial filter to dramatically reduce the search range. As a result, queue processing is speeded up. The experimental results demonstrate that our system is capable of retrieving images that belong to the same category.

Original languageEnglish
Title of host publicationProceedings - IEEE Computer Society's International Computer Software and Applications Conference
Pages914-919
Number of pages6
DOIs
StatePublished - Oct 16 2002
Event26th Annual International Computer Software and Applications Conference - Oxford, United Kingdom
Duration: Aug 26 2002Aug 29 2002

Other

Other26th Annual International Computer Software and Applications Conference
CountryUnited Kingdom
CityOxford
Period8/26/028/29/02

Keywords

  • Content-based image retrieval
  • Multimedia systems

ASJC Scopus subject areas

  • Software

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  • Cite this

    Li, X., Chen, S. C., Shyu, M-L., & Furht, B. (2002). An effective content-based visual image retrieval system. In Proceedings - IEEE Computer Society's International Computer Software and Applications Conference (pp. 914-919) https://doi.org/10.1109/CMPSAC.2002.1045122