Exploiting captions in retrieval of multimedia data
By: Neil C. Rowe, Eugene J. Guglielmo
Contributors: Guglielmo, Eugene J.; Naval Postgraduate School (U.S.). Dept. of Computer Science
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1992
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 17
Subjects: DATA BASES; NATURAL LANGUAGE
Other titles: NPS-CS-92-011.
Description: Descriptive natural-language captions can help organize multimedia data. We described our      MARIE system that interprets English queries directing the fetch of media objects. it is novel      in the extent to which it exploits previously interpreted and indexed English captions for the      media objects. Our routine filtering of queries through descriptively-complex captions (as      opposed to keyword lists) before retrieving data can actually improve retrieval speed, as      media data are often bulky and time consuming to retrieve, difficult upon which to perform      content analysis, and even small improvements to query prevision can often pay off. Handling      the English of captions and queries about them is not as difficult as it might seems, as the      matching does not require deep understanding, just a comprehensive type hierarchy for      caption concepts. An important innovation of MARIE is supercaptions describing sets of      captions, which can minimize caption redundancy. Databases, Natural-language, Captions,      Multimedia.
Notes: Title from cover.

"NPS-CS-92-011."

"July 1992."

AD A255 184.

Includes bibliographical references (p. 11-13)

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