A fast retrieval method for image features

With a very large size image database, there should be a way to search for the similar images efficiently. However, the traditional approaches that have been adopted to retrieve text or scalar values cannot be used because of the multi-dimensionality of the image feature vectors. A new retrieval met...

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Bibliographic Details
Main Authors: Jae Yeon Lee, Se-Yoon Jeong, Kyu Heon Kim, Byung Tae Chun, Bae, Y.J.
Format: Conference Proceeding
Language:English
Subjects:
Content based retrieval
Electronic mail
Image databases
Image processing
Image recognition
Image retrieval
Information retrieval
Laboratories
Spatial databases
Tree data structures
Online Access:Request full text
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Summary:With a very large size image database, there should be a way to search for the similar images efficiently. However, the traditional approaches that have been adopted to retrieve text or scalar values cannot be used because of the multi-dimensionality of the image feature vectors. A new retrieval method that uses one or more scalar values induced from the image vector is proposed. In the proposed method, the scalar values are independently stored as indices to the target feature vectors. With the proposed method, the searching speed is improved approximately 25 times compared to the sequential searching.
DOI:10.1109/TENCON.1999.818480