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ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Multi-Modal Video Concept Extraction Using Co-Training
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...
Rong Yan, Milind R. Naphade
VLDB
2004
ACM
104views Database» more  VLDB 2004»
14 years 5 months ago
Retrieval effectiveness of an ontology-based model for information selection
Technology in the field of digital media generates huge amounts of nontextual information, audio, video, and images, along with more familiar textual information. The potential for...
Latifur Khan, Dennis McLeod, Eduard H. Hovy
SEMWEB
2009
Springer
13 years 10 months ago
Enrichment and Ranking of the YouTube Tag Space and Integration with the Linked Data Cloud
The increase of personal digital cameras with video functionality and video-enabled camera phones has increased the amount of user-generated videos on the Web. People are spending ...
Smitashree Choudhury, John G. Breslin, Alexandre P...
LREC
2008
132views Education» more  LREC 2008»
13 years 6 months ago
Complete and Consistent Annotation of WordNet using the Top Concept Ontology
This paper presents the complete and consistent ontological annotation of the nominal part of WordNet. The annotation has been carried out using the semantic features defined in t...
Javier Álvez, Jordi Atserias, Jordi Carrera...
CVPR
2005
IEEE
14 years 7 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade