A method for semantic-based image retrieval

Hengwen Liu; Hengqing Tong; Qiaoling Tong

doi:10.1117/12.833928

30 October 2009 A method for semantic-based image retrieval

Hengwen Liu, Hengqing Tong, Qiaoling Tong

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74954J (2009) https://doi.org/10.1117/12.833928
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The most existed content-based image retrieval systems use traditional low-level features such as color, texture and shape to describe the image content, which are usually represented by statistic data. Actually, there are big differences between these statistic data and the image content which people understand. Therefore, how to describe image and to make it coincide with people's understanding become the key point of improving retrieval accuracy. In the point of cognition, people's understanding and description of image content is on semantic level. How to reduce 'semantic gap', how to accurately represent content semantic of image and retrieval intention of people becomes important and critical. One effective ways has been proposed to solve the problem: semantic image retrieval based on ontology. In this paper a new image retrieval system based on ontology and relevant feedback was presented. The ontology was used to describe the semantic features of images and then retrieve the images.

Citation Download Citation

Hengwen Liu, Hengqing Tong, and Qiaoling Tong "A method for semantic-based image retrieval", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954J (30 October 2009); https://doi.org/10.1117/12.833928

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