Details of Grant 

EPSRC Reference:	GR/L49611/01
Title:	MULTIMEDIA DOCUMENT RETRIEVAL
Principal Investigator:	Woodland, Professor PC
Other Investigators:	Sparck Jones, Professor K
Researcher Co-Investigators:
Project Partners:	Entropic Cambridge Research Pre Nexus Migration
Department:	Engineering
Organisation:	University of Cambridge
Scheme:	Standard Research (Pre-FEC)
Starts:	01 July 1997	Ends:	30 September 2000	Value (£):	571,788
EPSRC Research Topic Classifications:	Human Communication in ICT
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
Related Grants:
Panel History:
Summary on Grant Application Form
The amount of video and audio data available via communication networks, CD-ROM and broadcast media is increasing rapidly and there is a growing need for methods of automatically locating topics of interest. This project will develop techniques for using speech recognition to automatically transcribe and index audio and video material and integrate these with a probalistic information retrieval model to provide large-scale retrieval of multi-media documents. The work will seek major improvements in large vocabulary recognition in order to handle spontaneous speech from a wide range of speakers, speaking styles and recording conditions. The behaviour of retrieval models on large corpora will be determined and they will be refined by incorporating recognition confidence scores and by developing feedback mechanisms using term reweighting and query expansion. The project work includes participation in the US ARPA/NIST CSR and TREC evaluations of recognition and retrieval of Broadcast News. These will provide much of the data needed, a rigorous procedure for assessing the test results and performance comparisons against the best international standards. In addition the video Mail Retrieval system will be extended to handle much larger and diverse document sets containing television, radio and video material.
Key Findings
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Organisation Website:	http://www.cam.ac.uk