This paper presents recent work on a multimedia retrieval project at Cambridge University and Olivetti Research Limited ORL. We present novel techniques that allow extremely rapid audio indexing, at rates approaching several thousand times real time. Unlike other methods, these techniques do not depend on a xed vocabulary recognition system or on keywords that must be known well in advance. Using statistical methods developed for text, these indexing techniques allow rapid and e cient retrieval and browsing of audio and video documents. This paper presents the project background, the indexing and retrieval techniques, and a video mail retrieval application incorporating content-based audio indexing, retrieval, and browsing.
M. G. Brown, J. T. Foote, Gareth J. F. Jones, Kare