Number of found records: 40
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RORVIG, Mark R. |
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A method for automatically abstracting visual documents |
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Journal of the American Society for Information Science, 1993, vol. 44, n.1, pp.40-56. |
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On line (11/05/2005) |
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Visual documents such as motion sequences on film, videotape, and digital recordings, constitute a major source of information for NASA, as well as other government and private sector organizations. Describes a technique for automatically selecting key frames from visual documents, which in turn may be used to represent the total image sequence of visual documents in visual libraries, hypermedia systems, and training guides. The technique reduces 51 minutes of video sequences to 134 frames; a reduction of information in the range 700 to 1. (DB) |
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Automatic abstracting; Images |
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SPARCK JONES, Karen; ENDRES-NIGGEMEYER, Brigitte |
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Introduction: automatic summarizing |
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Information Processing and Management, 1995, vol. 31, n. 5, pp.625-630. |
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On line (11/05/2005) |
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Contribution to a special issue on summarizing text. Automatic summarizing is a research topic whose time has come. The papers illustrate some of the relevant work already under way. Places these papers in their wider context: why research and development on automatic summarizing is timely, what areas of work and ideas it should draw on, how future investigations and experiments can be effectively framed. (DB) |
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Automatic abstracting; Research |
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VARUN, Vimal Kumar |
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Automatic Abstracting & Summarizing Tools |
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Information Today & Tomorrow, 2002, vol.21, n.2, pp.12-16 |
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On line ( 06/07/2005) |
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Describes automatic abstracting & summarizing tools like Brevity Document Summarizer, Copernic Summarizer, Extractor, HyperGen Summarization Tool, Intelligent Miner for Text: Summarization Tool, Inxight Summarizer, MultiGen, Pertinence Automatic Summariser, Sinope Summarisers, Summarist, TextAnalyst, TextNet32, ViewSum. Zentext Summarizer (AU) |
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Information overload; Summarization; Abstracting; Cross-document summarization; Automatic abstracting & summarizing tools |
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WRIGHT, Peggy |
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Knowledge Discovery in Databases: Tools and Techniques |
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ACM Student Magazine 1998 |
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On line ( 15/06/2004) |
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The results are presented of a study on the techniques, tools and approaches of KDD, for discovering new and significant information using the existing data. There are various KDD techniques (probabilistic method, statistical method, classification methods, deviation and trend of the analysis ). |
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Knowledge discovery; KDD; database; statistical methods |
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