Mining networked media collections

Authors:
Stephane Marchand-Maillet;Donn Morrison;Eniko Szekely;Jana Kludas;Marc Vonwyl;Eric Bruno
Affiliations:
Viper group, University of Geneva, Switzerland;Viper group, University of Geneva, Switzerland;Viper group, University of Geneva, Switzerland;Viper group, University of Geneva, Switzerland;Viper group, University of Geneva, Switzerland;Viper group, University of Geneva, Switzerland
Venue:
AMR'09 Proceedings of the 7th international conference on Adaptive multimedia retrieval: understanding media and adapting to the user
Year:
2009

Citing 6
Cited 1

Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus

Neural Processing Letters
Perceptual metrics for image database navigation

Perceptual metrics for image database navigation
Latent semantic models for collaborative filtering

ACM Transactions on Information Systems (TOIS)
Relation between PLSA and NMF and implications

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Optimization of interactive visual-similarity-based search

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Learning a semantic space from user's relevance feedback for image retrieval

IEEE Transactions on Circuits and Systems for Video Technology

Multimedia information retrieval in a social context

PROMISE'12 Proceedings of the 2012 international conference on Information Retrieval Meets Information Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Multimedia data collections immersed into social networks may be explored from the point of view of varying documents and users characteristics. In this paper, we develop a unified model to embed documents, concepts and users into coherent structures from which to extract optimal subsets and to diffuse information. The result is the definition information propagation strategies and of active guiding navigation strategies of both the user and document networks, as a complement to classical search operations. Example benefits brought by our model are provided via experimental results.