Integration of Natural Language and Vision Processing

Recent Advances Volume IV

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July 1, 2019 | History

Integration of Natural Language and Vision Processing

Recent Advances Volume IV

Although there has been much progress in developing theories, models and systems in the areas of Natural Language Processing (NLP) and Vision Processing (VP) there has up to now been little progress on integrating these two subareas of Artificial Intelligence (AI). This book contains a set of edited papers on recent advances in the theories, computational models and systems of the integration of NLP and VP. The volume includes original work of notable researchers: Alex Waibel outlines multimodal interfaces including studies in speech, gesture and points; eye-gaze, lip motion and facial expression; hand writing, face recognition, face tracking and sound localization in a connectionist framework. Antony Cohen and John Gooday use spatial relations to describe visual languages. Naoguki Okada considers intentions of agents in visual environments. In addition to these studies, the volume includes many recent advances from North America, Europe and Asia demonstrating the fact that integration of Natural Language Processing and Vision is truly an international challenge.

Publish Date
Language
English
Pages
217

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Edition Availability
Cover of: Integration of Natural Language and Vision Processing
Integration of Natural Language and Vision Processing: Recent Advances Volume IV
1996, Springer Netherlands
electronic resource : in English

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Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Dordrecht

Classifications

Dewey Decimal Class
006.3
Library of Congress
Q334-342, TJ210.2-211.495, Q334-342T385TA1637-1

The Physical Object

Format
[electronic resource] :
Pagination
1 online resource (iii, 217 p.)
Number of pages
217

Edition Identifiers

Open Library
OL27046008M
ISBN 10
940107268X, 9400917163
ISBN 13
9789401072687, 9789400917163
OCLC/WorldCat
851376880

Work Identifiers

Work ID
OL19858078W

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