Combining multiple sources of evidence in XML multimedia documents: an inference network incorporating element language models

Authors:
Zhigang Kong;Mounia Lalmas
Affiliations:
Department of Computer Science, Queen Mary, University of London;Department of Computer Science, Queen Mary, University of London
Venue:
ECIR'07 Proceedings of the 29th European conference on IR research
Year:
2007

Citing 3
Cited 1

Evaluation of an inference network-based retrieval model

ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Combining the language model and inference network approaches to retrieval

Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
INEX 2005 multimedia track

INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval

Using textual and structural context for searching Multimedia Elements

International Journal of Business Intelligence and Data Mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work makes use of the semantic structure and logical structure in XML documents, and their combination to represent and retrieve XML multimedia content. We develop a Bayesian network incorporating element language models for the retrieval of a mixture of text and image. In addition, an element-based collection language model is used in the element language model smoothing. The proposed approach was successfully evaluated on the INEX 2005 multimedia data set.