Photo annotation and retrieval through speech

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2007

Author dc:creator

• Sherry, Brennan P

Advisor dc:contributor.advisor

• James R. Glass and Timothy J. Hazen.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/41678

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/41678