The effects of heterogeneous information combination on large scale social image search

Zhiyong Cheng, Jing Ren, Jialie Shen, Haiyan Miao

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

Abstract

This paper documents a comprehensive empirical study of the effects of heterogeneous information combination on large scale social image search. Our goal is to investigate how various kinds of information source can contribute the improvement of the retrieval effectiveness. In particular, a linear combination has been applied to merge search results from search module based on textual and visual features. Also, we propose different weighting schemes to integrate different kinds of query evidences in a nonlinear way. A series of experiments have been conducted using two large scale social image collections. Empirical results suggest that the system based on textual features yields much more effective and reliable results comparing to one using visual information. Further, the combination of two information sources can consistently enhance the final accuracy.

Original languageEnglish
Title of host publicationICIMCS 2011 - 3rd International Conference on Internet Multimedia Computing and Service, Proceedings
PublisherAssociation for Computing Machinery (ACM)
Pages39-42
Number of pages4
ISBN (Print)9781450309189
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event3rd International Conference on Internet Multimedia Computing and Service, ICIMCS 2011 - Chengdu, China
Duration: 5 Aug 20117 Aug 2011

Conference

Conference3rd International Conference on Internet Multimedia Computing and Service, ICIMCS 2011
CountryChina
CityChengdu
Period5/08/117/08/11

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