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» Using High-Level Semantic Features in Video Retrieval
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TRECVID
2007
14 years 10 months ago
Etter Solutions Research Group TRECVID 2007
Etter Solutions Research Group participated in the TRECVID conference for the first time in 2007. We submitted five runs in the area of fully automatic search. Fully Automatic Sea...
David Etter
CIVR
2003
Springer
154views Image Analysis» more  CIVR 2003»
15 years 2 months ago
Detecting Semantic Concepts from Video Using Temporal Gradients and Audio Classification
In this paper we describe new methods to detect semantic concepts from digital video based on audible and visual content. Temporal Gradient Correlogram captures temporal correlatio...
Mika Rautiainen, Tapio Seppänen, Jani Penttil...
PR
2008
79views more  PR 2008»
14 years 9 months ago
Region-based image retrieval with high-level semantics using decision tree learning
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
Ying Liu, Dengsheng Zhang, Guojun Lu
82
Voted
MM
2009
ACM
156views Multimedia» more  MM 2009»
15 years 4 months ago
Understanding near-duplicate videos: a user-centric approach
Popular content in video sharing web sites (e.g., YouTube) is usually duplicated. Most scholars define near-duplicate video clips (NDVC) based on non-semantic features (e.g., di...
Mauro Cherubini, Rodrigo de Oliveira, Nuria Oliver
ICIP
1999
IEEE
15 years 11 months ago
A Neural Network Approach to Interactive Content-Based Retrieval of Video Databases
A neural network scheme is presented in this paper for adaptive video indexing and retrieval. First, a limited but characteristic amount of frames are extracted from each video sc...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...