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Scalable feature-based video retrieval for mobile devices

  • Ghent University
    ,
  • University of Surrey
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The authors present a novel method for video retrieval on mobile devices. The target scenario is the following: features are extracted from a captured query video at the user side and transmitted to a remote server; then, video retrieval is applied within a stored database at the server side and relevant information about the query is returned to the user. In particular, we focus on the user side and propose a scalable method for video feature extraction and encoding taking into consideration the processing capabilities of the device and available bandwidth. Despite these constraints, the first results show a promising accuracy of retrieval.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 23/11/2009

Publication status

Published - 23/11/2009

Publisher

Association for Computing Machinery, United States

ISBN (Print)

9781605588407

ISBN (Electronic)

9781605588407

External Publication IDs

  • handle.net: 10547/292568
  • Scopus: 77951529118

Host publication title

nan

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