Paper
10 January 2003 Semantic Retrieval Based on Feature Element Constructional Model and Bias Competition Mechanism
Author Affiliations +
Proceedings Volume 5021, Storage and Retrieval for Media Databases 2003; (2003) https://doi.org/10.1117/12.476292
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
An original image retrieval framework is proposed and developed. Trying to achieve the semantic retrieval, a novel cognitive model - feature element constructional model is proposed. With its hierachical constructional structure and bias competition mechanism, the new model provides great power for semantic retrieval. Two types of retrieval mode are presented in the new system, which both try to analysis the semantic concept in the query image or semantic command. Then matching from the object to the feature element is carried out to obtain the final result, and our understanding of retrieval “to provide the way of approaching the accurate result” is also embodied.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yin Xu and Yujin Zhang "Semantic Retrieval Based on Feature Element Constructional Model and Bias Competition Mechanism", Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); https://doi.org/10.1117/12.476292
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image retrieval

Feature extraction

Visualization

Cognitive modeling

Cognition

Visual process modeling

Image processing

RELATED CONTENT


Back to Top