Guglielmo, E.J.; Rowe, N.C.: Natural-language retrieval of images based on descriptive captions (1996)
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- Abstract
- Describes a prototype intelligent information retrieval system that uses natural-language understanding to efficiently locate captioned data. Multimedia data generally requires captions to explain its features and significance. Such descriptive captions often rely on long nominal compunds (strings of consecutive nouns) which create problems of ambiguous word sense. Presents a system in which captions and user queries are parsed and interpreted to produce a logical form, using a detailed theory of the meaning of nominal compounds. A fine-grain match can then compare the logical form of the query to the logical forms for each caption. To improve system efficiency, the system performs a coarse-grain match with index files, using nouns and verbs extracted from the query. Experiments with randomly selected queries and captions from an existing image library show an increase of 30% in precision and 50% in recall over the keyphrase approach currently used. Processing times have a median of 7 seconds as compared to 8 minutes for the existing system
