Content-based image retrieval system

Content-based image retrieval system

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 im...

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Bibliographic Details
Main Author: Ba, Li
Other Authors: Chia, Clement Liang-Tien
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
DRNTU::Engineering::Computer science and engineering::Information systems::Database management
Online Access:http://hdl.handle.net/10356/2655
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Institution: Nanyang Technological University
Description
Summary: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.

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