Archivus: a multimodal system for multimedia meeting browsing and retrieval

Authors:
Marita Ailomaa;Miroslav Melichar;Martin Rajman;Agnes Lisowska;Susan Armstrong
Affiliations:
Artificial Intelligence Laboratory, Lausanne, Switzerland;Artificial Intelligence Laboratory, Lausanne, Switzerland;Artificial Intelligence Laboratory, Lausanne, Switzerland;University of Geneva, Geneva, Switzerland;University of Geneva, Geneva, Switzerland
Venue:
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Year:
2006

Citing 4
Cited 3

Wizard of Oz studies: why and how

IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Applying the Wizard of Oz Technique to the Study of Multimodal Systems

EWHCI '93 Selected papers from the Third International Conference on Human-Computer Interaction
ARCHIVUS: a system for accessing the content of recorded multimodal meetings

MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
A framework for rapid multimodal application design

TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue

Digital art 2.0: art meets web 2.0 trend

Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
Multimodal Interfaces: A Survey of Principles, Models and Frameworks

Human Machine Interaction
Spoken dialogue in virtual worlds

COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents Archivus, a multi-modal language-enabled meeting browsing and retrieval system. The prototype is in an early stage of development, and we are currently exploring the role of natural language for interacting in this relatively unfamiliar and complex domain. We briefly describe the design and implementation status of the system, and then focus on how this system is used to elicit useful data for supporting hypotheses about multimodal interaction in the domain of meeting retrieval and for developing NLP modules for this specific domain.