Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Semantic Image Retrieval Using Collaborative Indexing and Filtering

Language

English

Abstract

With the rapid development of multimedia technology, web images have become increasingly available and it constitutes a significant component of multimedia contents on the Internet. Since Web images can be represented in various formats and dimensions, searching such information are far more challenging than text-based search. While some basic forms of image retrieval are available on the Internet, these tend to be inflexible and have significant limitations. Currently, most of these image retrieval systems only rely on shallow image information (e.g., text annotation, metadata, color, etc.). Here, we present an approach for deep concept-based image retrieval, which focuses on high-level human perception, incorporating subtle nuances and emotional impressions on the images. We also propose a user-interactive and innovative adaptive method for image search that overcomes the current limitations. © 2012 IEEE.

Keywords

collaborative indexing, image retrieval, multimedia search, semantic annotation

Publication Date

2012

Source Publication Title

Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops

Start Page

261

End Page

264

Conference Location

Macau, China

Publisher

IEEE

DOI

10.1109/WI-IAT.2012.197

Link to Publisher's Edition

http://dx.doi.org/10.1109/WI-IAT.2012.197

ISBN (print)

9781467360579

This document is currently not available here.

Share

COinS