Indexing and retrieval scheme of the image database based on color and spatial relations

T. K. Shih, C. S. Wang, A. Y. Chang, C. H. Kao

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

We propose a new approach to retrieve images from an image database. We combine both color and spatial features of a picture to index and measure the similarity of images. We propose a new automatic indexing scheme of image database according to our clustering method, which could filter the image efficiently. As a technical contribution, a Seed-Filling like algorithm that could extract the shape and spatial relationship feature of image is proposed. Also, the system is incorporated with a visual interface, which allows the user to specify objects as the spatial specification of picture. With color identification and spatial similarity functions, the preliminary experience shows that the system is able to retrieve image information of a very high satisfaction.

Original languageEnglish
Pages129-132
Number of pages4
StatePublished - 2000
Event2000 IEEE Internatinal Conference on Multimedia and Expo (ICME 2000) - New York, NY, United States
Duration: 30 Jul 20002 Aug 2000

Conference

Conference2000 IEEE Internatinal Conference on Multimedia and Expo (ICME 2000)
Country/TerritoryUnited States
CityNew York, NY
Period30/07/002/08/00

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