Please use this identifier to cite or link to this item: https://doi.org/10.1145/2072298.2072054
Title: Tag-based social image search with visual-text joint hypergraph learning
Authors: Gao, Y.
Wang, M.
Luan, H. 
Shen, J.
Yan, S. 
Tao, D.
Keywords: Hypergraph learning
Tag-based image search
Visual-text
Issue Date: 2011
Source: Gao, Y.,Wang, M.,Luan, H.,Shen, J.,Yan, S.,Tao, D. (2011). Tag-based social image search with visual-text joint hypergraph learning. MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops : 1517-1520. ScholarBank@NUS Repository. https://doi.org/10.1145/2072298.2072054
Abstract: Tag-based social image search has attracted great interest and how to order the search results based on relevance level is a research problem. Visual content of images and tags have both been investigated. However, existing methods usually employ tags and visual content separately or sequentially to learn the image relevance. This paper proposes a tag-based image search with visual-text joint hypergraph learning. We simultaneously investigate the bag-of-words and bag-of-visual-words representations of images and accomplish the relevance estimation with a hypergraph learning approach. Each textual or visual word generates a hyperedge in the constructed hypergraph. We conduct experiments with a real-world data set and experimental results demonstrate the effectiveness of our approach. Copyright 2011 ACM.
Source Title: MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
URI: http://scholarbank.nus.edu.sg/handle/10635/43344
ISBN: 9781450306164
DOI: 10.1145/2072298.2072054
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

47
checked on Jan 15, 2018

Page view(s)

131
checked on Jan 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.