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» Using Information Extraction to Improve Document Retrieval
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SPIESR
2003
99views Database» more  SPIESR 2003»
15 years 6 months ago
Video retrieval using speech and image information
Video contains multiple types of audio and visual information, which are difficult to extract, combine or trade-off in general video information retrieval. This paper provides an ...
Alexander G. Hauptmann, Rong Jin, Tobun Dorbin Ng
SIGIR
2011
ACM
14 years 7 months ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel
ICIAR
2004
Springer
15 years 10 months ago
Automatic Text Extraction in Digital Video Based on Motion Analysis
It is well known that the text that appears in a video scene or is graphically added to it is an important source of semantic information for indexing and retrieval, notably in the...
Duarte Palma, João Ascenso, Fernando Pereir...
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CIKM
2003
Springer
15 years 10 months ago
Speech user interfaces for information retrieval
The research proposed here concentrates on the problem of designing and developing a spoken query retrieval (SQR) system to access large document databases via voice. The main cha...
Juan E. Gilbert, Yapin Zhong
CIKM
2001
Springer
15 years 9 months ago
Improved String Matching Under Noisy Channel Conditions
Many document-based applications, including popular Web browsers, email viewers, and word processors, have a ‘Find on this Page’ feature that allows a user to find every occur...
Kevyn Collins-Thompson, Charles Schweizer, Susan T...