Natural language interface to video database

Authors:
T. R. Gayatri;S. Raman
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology, Madras - 600 036, India/ e-mail: raman@iitm.ernet.in;Department of Computer Science and Engineering, Indian Institute of Technology, Madras - 600 036, India/ e-mail: raman@iitm.ernet.in
Venue:
Natural Language Engineering
Year:
2001

Citing 7
Cited 2

Natural language processing: a knowledge-engineering approach

Natural language processing: a knowledge-engineering approach
Content-based retrieval in multimedia databases

ACM SIGGRAPH Computer Graphics
Metadata in video databases

ACM SIGMOD Record
Information extraction

Communications of the ACM
Computers

IEEE Spectrum - Special issue: technology 1997: analysis and forecast
Content-Based Image Retrieval Systems

Computer
OVID: Design and Implementation of a Video-Object Database System

IEEE Transactions on Knowledge and Data Engineering

A Natural Language-Based Interface for Querying a Video Database

IEEE MultiMedia
Natural language querying for video databases

Information Sciences: an International Journal

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Abstract

In this paper, we discuss a natural language interface to a database of structured textual descriptions in the form of annotations of video objects. The interface maps the natural language query input on to the annotation structures. The language processing is done in three phases of expectations and implications from the input word, disambiguation of noun implications and slot-filling of prepositional expectations, and finally, disambiguation of verbal expectations. The system has been tested with different types of user inputs, including ill-formed sentences, and studied for erroneous inputs and for different types of portability issues.