DocumentCode :
2554092
Title :
A News Video Retrieval Framework for the Study of Implicit Relevance Feedback
Author :
Hopfgartner, Frank ; Jose, Jithin
Author_Institution :
Univ. of Glasgow, Glasgow
fYear :
2007
fDate :
17-18 Dec. 2007
Firstpage :
233
Lastpage :
236
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.
Keywords :
indexing; information resources; multimedia computing; relevance feedback; video retrieval; adaptive multimedia retrieval; implicit relevance feedback; news video analysing; news video indexing; news video recording; news video retrieval; Broadcasting; Digital cameras; Feedback; Hardware; Indexing; Information retrieval; Software libraries; Video equipment; Video recording; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Media Adaptation and Personalization, Second International Workshop on
Conference_Location :
Uxbridge
Print_ISBN :
0-7695-3040-0
Type :
conf
DOI :
10.1109/SMAP.2007.12
Filename :
4414416
Link To Document :
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