Web-based Beowulf-class parallel computing on image database indexing and retrieval system

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages457-460
Publication statusPublished - 2001

Conference

Title2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
PlaceHong Kong
CityHong Kong
Period2 - 4 May 2001

Abstract

Content-Based Image Retrieval (CBIR) techniques will be served as the next generation of search engine. However, even with a suitable retrieval method, real-time image retrieval from a large image database still requires extremely high computational power. In this paper, a web-based image database indexing and retrieval system is described. It uses fast CBIR with Beowulf-Class parallel computing engine (Super Abacus) to efficiently and effectively shorten the retrieval time. The content-based image retrieval with several parallel algorithms for images query from different color spaces and the compressed-domain of images are developed to achieve higher efficiency. Besides, the text-based query is also supported for images query using the conventional annotation approach.

Research Area(s)

  • Beowulf, Content-based image retrieval, Image database indexing and retrieval system, Parallel computing

Citation Format(s)

Web-based Beowulf-class parallel computing on image database indexing and retrieval system. / Cheung, Chun-Ho; Po, Lai-Man; Wong, Ka-Man.

Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001. 2001. p. 457-460.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review