Exploiting captions in retrieval of multimedia data
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Authors
Rowe, Neil C.
Guglielmo, Eugene J.
Subjects
Advisors
Date of Issue
1992-07
Date
1992-07
Publisher
Monterey, CA; Naval Postgraduate School
Language
en_US
Abstract
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
Type
Technical Report
Description
Series/Report No
Department
Computer Science
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
NPS-CS-92-011
Sponsors
Funder
Format
17 p. : ill. ; 28 cm.