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» Term Selection and Query Operations for Video Retrieval
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CIVR
2007
Springer
103views Image Analysis» more  CIVR 2007»
15 years 6 months ago
The value of stories for speech-based video search
Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combina...
Bouke Huurnink, Maarten de Rijke
MIR
2005
ACM
197views Multimedia» more  MIR 2005»
15 years 5 months ago
Enhanced ontologies for video annotation and retrieval
A typical way to perform video annotation requires to classify video elements (e.g. events and objects) according to some pre-defined ontology of the video content domain. Ontolo...
Marco Bertini, Alberto Del Bimbo, Carlo Torniai
WWW
2004
ACM
16 years 13 days ago
Best bets: thousands of queries in search of a client
A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to ...
Giuseppe Attardi, Andrea Esuli, Maria Simi
CLEF
2008
Springer
15 years 1 months ago
DCU at VideoClef 2008
We describe a baseline system for the VideoCLEF Vid2RSS task. The system uses an unaltered off-the-shelf Information Retrieval system. ASR content is indexed using default stemmin...
Eamonn Newman, Gareth J. F. Jones
MM
2006
ACM
293views Multimedia» more  MM 2006»
15 years 5 months ago
Automatic annotation and semantic retrieval of video sequences using multimedia ontologies
Effective usage of multimedia digital libraries has to deal with the problem of building efficient content annotation and retrieval tools. MOM (Multimedia Ontology Manager) is a ...
Marco Bertini, Alberto Del Bimbo, Carlo Torniai