Multimodal Information Spaces for Content-based Image Retrieval

Abstract

Currently, image retrieval by content is a research problem of great interest in academia and the industry, due to the large collections of images available in different contexts. One of the main challenges to develop effective image retrieval systems is the automatic identification of semantic image contents. This research proposal aims to design a model for image retrieval able to take advantage of different data sources, i.e. using multimodal information, to improve the response of an image retrieval system. In particular two data modalities associated to contents and context of images are considered in this proposal: visual features and unstructured text annotations. The proposed framework is based on kernel methods that provide two main important advantages over the traditional multimodal approaches: first, the structure of each modality is preserved in a high dimensional feature space, and second, they provide natural ways to fuse feature spaces in a unique information space. This document presents the research agenda to build a Multimodal Information Space for searching images by content.

Contributors

Juan C. Caicedo

Conference

Publication date: September 2009

Publication date (Print): September 2009

Pages: 110-116

Affiliations

National University of Colombia

http://www.informed.unal.edu.co

Article

DOI: 10.14236/ewic/FDIA2009.18

Copyright statement: © Juan C. Caicedo. Published by BCS Learning and Development Ltd. Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009), Padua, Italy

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009)

Conference acronym: FDIA

Conference number: 3

Conference location: Padua, Italy

Conference date: 1 September 2009

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Computers XXIII Celebrating People and Technology

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/FDIA2009.18

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing