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Combined Feature-Level Video Indexing Using Block-Based Motion Estimation.

Bhaskar, H. and Mihaylova, L. (2010) Combined Feature-Level Video Indexing Using Block-Based Motion Estimation. In: 13th Conference on Information Fusion (FUSION), 2010. IEEE, pp. 1-8. ISBN 978-0-9824438-1-1

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Abstract

We describe a method for attaching content-based labels to video data using a weighted combination of low-level features (such as colour, texture, motion, etc.) estimated during motion analysis. Every frame of a video sequence is modeled using a fixed set of low-level feature attributes together with a set of corresponding weights using a block-based motion estimation technique. Indexing a new video involves an alternative scheme in which the weights of the features are first estimated and then classification is performed to determine the label corresponding to the video. A hierarchical architecture of increasingly complexity is used to achieve robust indexing of new videos. We explore the effect of different model parameters on performance and prove that the proposed method is effective using publicly available datasets.

Item Type: Contribution in Book/Report/Proceedings
Additional Information: Catalogue number: CFP10FUS-CDR ISBN:978-0-9824438-1-1
Uncontrolled Keywords: Tracking ; filtering ; estimation ; fuzzy logic ; resource management
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 33960
Deposited By: Dr L Mihaylov
Deposited On: 05 Aug 2010 09:57
Refereed?: No
Published?: Published
Last Modified: 10 Apr 2014 01:03
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/33960

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