Video retrieval by feature learning in key frames

M J Pickering, S M Ruger, D Sinclair

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We evaluate the application of feature-vector based image retrieval methods to the problem of video retrieval. A vast number of primitive features is. calculated for each of the key frames generated by a segmentation process, and we examine the use of three methods for retrieving video segments using the features - a vector space model, a learning method using the AdaBoost algorithm, and a k-nearest neighbour approach.

Original languageEnglish
Title of host publicationImage and Video Retrieval
EditorsMS Lew, N Sebe, JP Eakins
Place of PublicationBerlin
PublisherSpringer-Verlag GmbH
Pages309-317
Number of pages9
ISBN (Print)3-540-43899-8
Publication statusPublished - 2002

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