Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14009
Title: Efficient database support for WWW image retrieval
Authors: SHEN HENG TAO
Keywords: Image retrieval, database, high-dimensional
Issue Date: 31-May-2004
Source: SHEN HENG TAO (2004-05-31). Efficient database support for WWW image retrieval. ScholarBank@NUS Repository.
Abstract: WWW is exploding and shaping the current research direction. To enhance the WWW apge content, images are increasingly being embedded in HTML docuemnts. Such documents over the WWW essentially provide a rich and interesting source of image collection from which users can query. In this thesis, we first propose an effective semantic-based WWW image retrieval system, and extend it with multiple visual features. To provide efficient database support, we then study the problem of high-dimensional indexing, from which we further address the problems of hyper-dimensional indexing and multiple high-dimensional indexing.
URI: http://scholarbank.nus.edu.sg/handle/10635/14009
Appears in Collections:Ph.D Theses (Open)

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