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» Multimedia Search with Pseudo-relevance Feedback
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CVPR
2007
IEEE
14 years 15 days ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Relevance Feedback Methods in Content Based Retrieval and Video Summarization
In the current state-of-the-art in multimedia content analysis (MCA), the fundamental techniques are typically derived from core pattern recognition and computer vision algorithms...
Micha Haas, Ard Oerlemans, Michael S. Lew
CIKM
2007
Springer
14 years 2 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
CLEF
2009
Springer
13 years 6 months ago
Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment
VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language telev...
Martha Larson, Eamonn Newman, Gareth J. F. Jones
AMR
2007
Springer
120views Multimedia» more  AMR 2007»
14 years 2 months ago
Searching for Music Using Natural Language Queries and Relevance Feedback
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
Peter Knees, Gerhard Widmer