A News Video Retrieval Framework for the Study of Implicit Relevance Feedback

Authors:
Frank Hopfgartner
Affiliations:
-
Venue:
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Year:
2007

Citing 0
Cited 2

Studying interaction methodologies in video retrieval

Proceedings of the VLDB Endowment
Using facial expressions and peripheral physiological signals as implicit indicators of topical relevance

MM '09 Proceedings of the 17th ACM international conference on Multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a framework for recording, analysing, indexing and retrieving news videos such as the BBC One O'Clock News. We believe that such a framework will be useful to identify implicit indicators of relevance, a nearly untouched area in adaptive multimedia retrieval. Due to its advantages as a web application and its up-to- date content, it can be a promising approach to motivate a broad quantity of users to interact with the system.