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» Retrieval by Content in Symbolic-Image Databases
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VISUAL
1999
Springer
14 years 8 days ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
IMCSIT
2010
13 years 6 months ago
Emotion-based Image Retrieval - an Artificial Neural Network Approach
Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into acc...
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-K...
AMR
2008
Springer
288views Multimedia» more  AMR 2008»
13 years 9 months ago
Automatic Reduction of MIDI Files Preserving Relevant Musical Content
Retrieving music from large digital databases is a demanding computational task. The cost for indexing and searching depends not only on the computational effort of measuring music...
Søren Tjagvad Madsen, Rainer Typke, Gerhard...
CIKM
2011
Springer
12 years 8 months ago
ReDRIVE: result-driven database exploration through recommendations
Typically, users interact with database systems by formulating queries. However, many times users do not have a clear understanding of their information needs or the exact content...
Marina Drosou, Evaggelia Pitoura
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 8 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung