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» On Scalable Information Retrieval Systems
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MM
2003
ACM
116views Multimedia» more  MM 2003»
16 years 7 hour ago
Negative pseudo-relevance feedback in content-based video retrieval
Video information retrieval requires a system to find information relevant to a query which may be represented simultaneously in different ways through a text description, audio...
Rong Yan, Alexander G. Hauptmann, Rong Jin
ACL
2007
15 years 8 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
ICITA
2005
IEEE
16 years 10 days ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
SPIRE
2005
Springer
16 years 7 days ago
XML Retrieval with a Natural Language Interface
Effective information retrieval in XML documents requires the user to have good knowledge of document structure and of some formal query language. XML query languages like XPath a...
Xavier Tannier, Shlomo Geva
AMR
2006
Springer
157views Multimedia» more  AMR 2006»
15 years 10 months ago
SAFIRE: Towards Standardized Semantic Rich Image Annotation
Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is ...
Christian Hentschel, Andreas Nürnberger, Ingo...