Inferring depictions in natural-language captions for efficient access to picture data
Rowe, Neil C.
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Multimedia data can require significant examination time to find desired features ("content analysis"). An alternative is using natural-language captions to describe the data, and matching captions to English queries. But it is hard to include everything in the caption of a complicated datum, so significant content analysis may still seem required. We discuss linguistic clues in captions, both syntactic and semantic, that can simplify or eliminate content analysis. We introduce the notion of concept depiction and rules for depiction inference. Our approach is implemented in an expert system which demonstrated significant increases in recall in experiments.
Approved for public release; distribution is unlimited.This paper appeared in: Information Processing and Management, 30, no. 3 (1994), 379-388.
NPS Report NumberNPS-CS-93-007
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Rowe, Neil C. (Monterey, California. Naval Postgraduate School, 2002);We address the problem of finding the subject of a photographic image intended to illustrate some physical object or objects ("depictive") and taken by usual optical means without magnification ("natural"). This could help ...
Rowe, Neil C. (Monterey, California. Naval Postgraduate School, 2004);We survey research on using captions in data mining from the Web. Captions are text that describes some other information (typically, multimedia). Since text is considerably easier to index and manipulate than non-text ...
Rowe, Neil C. (Monterey, California. Naval Postgraduate School, 2004-06);The easiest way to index multimedia from ordinary Web pages is to find their captions. However, captions are not used consistently, and retrieval effectiveness for caption-based multimedia browsers is significantly poorer ...