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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.
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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
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ESI Highly Cited Papers on the List: 0 Unfold All
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Chinese Cited Count:
30 Days PV: 1