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» Using High-Level Semantic Features in Video Retrieval
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CLEF
2010
Springer
14 years 10 months ago
DAEDALUS at ImageCLEF Wikipedia Retrieval 2010: Expanding with Semantic Information from Context
This paper describes the participation of DAEDALUS at the ImageCLEF 2010 Wikipedia Retrieval task. The main focus of our experiments is to evaluate the impact in the image retrieva...
Sara Lana-Serrano, Julio Villena-Román, Jos...
TCSV
2008
140views more  TCSV 2008»
14 years 9 months ago
Face-Based Digital Signatures for Video Retrieval
The characterization of a video segment by a digital signature is a fundamental task in video processing. It is necessary for video indexing and retrieval, copyright protection and...
Costas I. Cotsaces, Nikos Nikolaidis, Ioannis Pita...
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 2 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
ICIP
2004
IEEE
15 years 11 months ago
Enhancing latent semantic analysis video object retrieval with structural information
The work presented in this paper aims at reducing the semantic gap between low level video features and semantic video objects. The proposed method for finding associations betwee...
Benoit Huet, Bernard Mérialdo, Fabrice Souv...
MM
2003
ACM
161views Multimedia» more  MM 2003»
15 years 2 months ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang