Share Email Print

Proceedings Paper

Object recognition and matching for image retrieval
Author(s): Yujin Zhang; Yongying Gao; Nikolay S. Merzlyakov
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper proposes a new scheme for image retrieval using high-level description, which is based on object recognition and matching. For object recognition, some meaningful regions are first extracted from the image in a lower level, and an iterative procedure for object recognition is then presented. Based on the result of recognition, further matching process is carried out in a high level. The proposed techniques have been embedded into a practical system for image retrieval and experimental results show that the performance of the image retrieval could be improved through the recognition of objects and the object based matching.

Paper Details

Date Published: 31 July 2002
PDF: 7 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477118
Show Author Affiliations
Yujin Zhang, Tsinghua Univ. (China)
Yongying Gao, Tsinghua Univ. (China)
Nikolay S. Merzlyakov, Institute for Information Transmission Problems (Russia)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?