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» Using High-Level Semantic Features in Video Retrieval
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MM
2010
ACM
265views Multimedia» more  MM 2010»
14 years 10 months ago
Affective image classification using features inspired by psychology and art theory
Images can affect people on an emotional level. Since the emotions that arise in the viewer of an image are highly subjective, they are rarely indexed. However there are situation...
Jana Machajdik, Allan Hanbury
TCSV
2008
153views more  TCSV 2008»
14 years 9 months ago
Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera Modeling
This paper addresses the automatic analysis of court-net sports video content. We extract information about the players, the playing-field in a bottom-up way until we reach scene-l...
Jungong Han, Dirk Farin, Peter H. N. de With
ICANN
2005
Springer
15 years 3 months ago
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps
We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional ...
Mats Sjöberg, Jorma Laaksonen
MM
2009
ACM
197views Multimedia» more  MM 2009»
15 years 4 months ago
Sirio: an ontology-based web search engine for videos
In this technical demonstration we show a web video search engine based on ontologies, the Sirio1 system, that has been developed within the EU VidiVideo project. The goal of the ...
Thomas M. Alisi, Marco Bertini, Gianpaolo D'Amico,...
IBPRIA
2005
Springer
15 years 3 months ago
Dynamic Texture Recognition Using Normal Flow and Texture Regularity
The processing, description and recognition of dynamic (time-varying) textures are new exciting areas of texture analysis. Many real-world textures are dynamic textures whose retri...
Renaud Péteri, Dmitry Chetverikov