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12th Annual Meeting of China Association for Science and Technology on Information and Communication Technology and Smart Grid (AMCST 2010 E-BOOK)

Fuzhou,China,11.1-11.3，2010

ISBN: 978-1-935068-23-5 Scientific Research Publishing, USA

E-Book 660pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $120

Title: Large-S cale Image Retrieval Method Based on Vocabulary Tree
Source: 12th Annual Meeting of China Association for Science and Technology on Information and Communication Technology and Smart Grid (AMCST 2010 E-BOOK) (pp 219-223)
Author(s): Jin Qi, College of Information Science and Technology, Northwest university, Xi' an, China
Jian Zhao, College of Information Science and Technology, Northwest university, Xi' an, China
Yu Xie, College of Information Science and Technology, Northwest university, Xi' an, China
Xiao-ning Chen, College of Information Science and Technology, Northwest university, Xi' an, China
Abstract: The techniques for content-based large-scale image retrieval tasks are discussed, and the methods of index-tree structures are analyzed emphatically. Introducing the concept of a vocabulary tree, an improved algorithm for large-scale image retrieval was realized. The vocabulary tree is a data structure based on visual words for indexing images. Each leaf node of the tree is from visual word computed by the K-means clustering algorithm. The query time of system dose not increase linearly as the database size grows. The method can improve the retrieval efficiency and meet two of the major requirements: adaptability and scalability.
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