Photo annotation and retrieval through speech
Name
220945062-MIT.pdf
Description
Full printable version
Size
4.38 MB
Format
Adobe PDF
Checksum (MD5)
93e98b5ddc6320ea91661f45446096e7
Author(s)
Sherry, Brennan P
Advisor(s)
James R. Glass and Timothy J. Hazen.
Date Issued
2007
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis I describe the development of a speech-based annotation and retrieval system for digital photographs. The system uses a client/server architecture which allows photographs to be captured and annotated on various clients, such as mobile camera phones or the web, and then processed, indexed and stored on networked servers. For speech-based retrieval we have developed a mixed grammar recognition approach which allows the speech recognition system to construct a single finite-state network combining context-free grammars for recognizing and parsing query carrier phrases and metadata phrases, with an unconstrained statistical n-gram model for recognizing free-form search terms. Experiments demonstrating successful retrieval of photographs using purely speech-based annotation and retrieval are presented.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 36).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
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