New method for similarity retrieval of iconic image database

Shu-Ming Hsieh; Chiun-Chieh Hsu

doi:10.1117/12.585499

17 January 2005 New method for similarity retrieval of iconic image database

Shu-Ming Hsieh, Chiun-Chieh Hsu

Proceedings Volume 5682, Storage and Retrieval Methods and Applications for Multimedia 2005; (2005) https://doi.org/10.1117/12.585499
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

It is an important basis to retrieve images in Image Databases (IDBs) by the objects contained in the images and the interrelationships among these objects. Spatial relationship is one of the most perceptive discriminations (or similarities) between images. The 2D string approach provides a compact and efficient method to preserve the spatial knowledge and to perform the matching mechanism. However, the 2D string matching method is only suitable for sub-image queries. A similarity retrieval method based on 2D string longest common subsequence (2D LCS) is proposed by Lee et al., but their algorithm to calculate the length of 2D LCS (or the similarity degree of two images) is transformed to an NP-hard problem. In this paper, we propose a new method of similarity retrieval based on 2D LCS. The efficiency of the proposed algorithm is polynomial. Furthermore, the proposed model can be extended to discriminate images by the multiple attributes of contained objects as well as their spatial constraints. Thus an efficient and effective similarity retrieval model is achieved.

Citation Download Citation

Shu-Ming Hsieh and Chiun-Chieh Hsu "New method for similarity retrieval of iconic image database", Proc. SPIE 5682, Storage and Retrieval Methods and Applications for Multimedia 2005, (17 January 2005); https://doi.org/10.1117/12.585499

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available