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Author:

Duan, LJ (Duan, LJ.) (Scholars:段立娟) | Mao, GJ (Mao, GJ.) | Gao, W (Gao, W.)

Indexed by:

CPCI-S

Abstract:

ImageMiner, a content-based image database management system is designed in this paper. It combines computer vision, machine learning and traditional database technology to build up image database description and manage system based on contents. ImageMiner includes four core subsystems: ImageSeek for content-based image retrieval, ImageClassifier for content-based image classification, ImageCluster for content-based image clustering and ImageFilter for detecting interesting images and defending offensive images.

Keyword:

Author Community:

  • [ 1 ] Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China

Reprint Author's Address:

  • 段立娟

    [Duan, LJ]Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China

Email:

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Source :

CONCURRENT ENGINEERING: THE WORLDWIDE ENGINEERING GRID, PROCEEDINGS

Year: 2004

Page: 279-284

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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