HMNews: a multimodal news data association framework

Authors:
Maurizio Montagnuolo;Alberto Messina;Marco Ferri
Affiliations:
RAI Centre for Research and Technological Innovation, Corso Giambone, Torino, (ITALY);RAI Centre for Research and Technological Innovation, Corso Giambone, Torino, (ITALY);euriX s.r.l, Via Carcano, Torino (ITALY)
Venue:
Proceedings of the 2010 ACM Symposium on Applied Computing
Year:
2010

Citing 6
Cited 1

Semantics reinforcement and fusion learning for multimedia streams

Proceedings of the 6th ACM international conference on Image and video retrieval
ANTS: A Complete System for Automatic News Programme Annotation Based on Multimodal Analysis

WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Integration of news content into web results

Proceedings of the Second ACM International Conference on Web Search and Data Mining
A generalised cross-modal clustering method applied to multimedia news semantic indexing and retrieval

Proceedings of the 18th international conference on World wide web
HMNews: an integrated system for searching and browsing hypermedia news content

Proceedings of the 20th ACM conference on Hypertext and hypermedia
Multimodal Fusion for Video Search Reranking

IEEE Transactions on Knowledge and Data Engineering

Multimedia data mining: state of the art and challenges

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe a new association mining method for multimodal fusion of news content produced and distributed through different media, i.e., TV newscasts and Web newspapers.