Loading...
Mobile-cloud assisted video summarization framework for efficient management of remote sensing data generated by wireless capsule sensors
Mehmood, Irfan Sajjad, M. Baik, S.W.
Mehmood, Irfan
Sajjad, M.
Baik, S.W.
Publication Date
2014-09
End of Embargo
Supervisor
Rights
© 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution license
(http://creativecommons.org/licenses/by/3.0/).
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2014-09-09
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
Wireless capsule endoscopy (WCE) has great advantages over traditional endoscopy
because it is portable and easy to use, especially in remote monitoring health-services.
However, during the WCE process, the large amount of captured video data demands a
significant deal of computation to analyze and retrieve informative video frames. In order to
facilitate efficient WCE data collection and browsing task, we present a resource- and
bandwidth-aware WCE video summarization framework that extracts the representative
keyframes of the WCE video contents by removing redundant and non-informative frames.
For redundancy elimination, we use Jeffrey-divergence between color histograms and
inter-frame Boolean series-based correlation of color channels. To remove non-informative
frames, multi-fractal texture features are extracted to assist the classification using an
ensemble-based classifier. Owing to the limited WCE resources, it is impossible for the
WCE system to perform computationally intensive video summarization tasks. To resolve
computational challenges, mobile-cloud architecture is incorporated, which provides resizable
computing capacities by adaptively offloading video summarization tasks between the client
and the cloud server. The qualitative and quantitative results are encouraging and show that
the proposed framework saves information transmission cost and bandwidth, as well as the
valuable time of data analysts in browsing remote sensing data.
Version
Published version
Citation
Mehmood I, Sajjad M and Baik SW (2014) Mobile-cloud assisted video summarization framework for efficient management of remote sensing data generated by wireless capsule sensors. Sensors. 14(9): 17112-17145.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Article