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» Using High-Level Semantic Features in Video Retrieval
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MIR
2010
ACM
206views Multimedia» more  MIR 2010»
15 years 3 months ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
CIKM
2010
Springer
14 years 8 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
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MM
2005
ACM
181views Multimedia» more  MM 2005»
15 years 3 months ago
Tracking news stories across different sources
Information linkage is becoming more and more important in this digital age. In this paper, we propose a concept tracking method, which links the news stories with the same topic ...
Yun Zhai, Mubarak Shah
SEMWEB
2009
Springer
15 years 2 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...
CLEF
2008
Springer
14 years 11 months ago
Overview of VideoCLEF 2008: Automatic Generation of Topic-Based Feeds for Dual Language Audio-Visual Content
The VideoCLEF track, introduced in 2008, aims to develop and evaluate tasks related to analysis of and access to multilingual multimedia content. In its first year, VideoCLEF pilo...
Martha Larson, Eamonn Newman, Gareth J. F. Jones