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|Title:||Content-based image retrieval system||Authors:||Ba, Li||Keywords:||DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
DRNTU::Engineering::Computer science and engineering::Information systems::Database management
|Issue Date:||2000||Abstract:||With tremendous growth in the numbers and sizes of digital image and video collections, it is very necessary to develop effective and efficient tools to index and search these multimedia information. Techniques of Content-Based Image Retrieval (CBIR) are presented to conduct similarity queries in image databases, which are based on some visual features of images, such as color, texture, shape, and regions. Our work attempted to investigate some issues in CBIR and develop an effective and efficient image Database Management System (DBMS). Some important issues in CBIR were discussed, such as feature extraction, similarity measures, indexing structures, and system effectiveness evaluation. To know about contemporary CBIR systems, some notable CBIR systems were reviewed and compared.||URI:||http://hdl.handle.net/10356/2655||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Theses|
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