Dr Huiyu Zhou
Electronic & Computer Engineering, Brunel University
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Date: 27th January 2009 (Tuesday) |
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Time: 14:00 - 15:00 |
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Venue: MB552 |
Abstract
This seminar presents our recent contribution to RUSHES Project which
is supported by EU FP6. The target of RUSHES Project is to develop a
prototype for seamless indexing, searching and retrieval of content,
especially applied to archives of raw media material, in order to ease
in-house post-production in both professional and home environments.
Our contribution includes proposing and implementing new algorithms for
video annotation, multi-modality analysis, and video summarisation. As
a result, some technical details will be summarized as follows: (1) As
an example of video annotation a new scheme namely iterative Random
Sample Consensus (ARANSAC) scheme will be introduced for extracting
planar surfaces from 2D image sequences. (2) To aid multimodality
analysis in video retrieval, where audio and visual components are
taken into account, a new feature detection algorithm is proposed for
discriminating between speech and music based on the averaged cepstrum
of the audio signals. (3) A content based dynamic video summarisation
scheme is presented, which provides a short synopsis of a long movie by
analysing colour and motion information of the original video.
Huiyu Zhou obtained his BEng degree in Radio Technology from the
Huazhong University of Science and Technology of China, and an MSc in
Biomedical Engineering from the University of Dundee of Scotland,
respectively. He then received his PhD degree in Computer Vision from
the Heriot-Watt University, Edinburgh, Scotland. He has worked in the
Guangxi Medical University of China, Elscint Ltd. of Israel, University
of Essex and University of London of United Kingdom. His research
interests include computer vision, medical imaging, robotics and
intelligent sensing systems. He has published widely in these areas.
Currently, he is a research fellow at the Centre for Media
Communications Research of Brunel University, United Kingdom, supported
by European Commission under Grant FP6-045189-STREP (RUSHES).
