Mobile-Cloud Assisted Video Summarization Framework for Efficient Management of Remote Sensing Data Generated by Wireless Capsule Sensors
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 30
- Type
- D - Journal article
- DOI
-
10.3390/s140917112
- Title of journal
- Sensors
- Article number
- -
- First page
- 17112
- Volume
- 14
- Issue
- 9
- ISSN
- 1424-8220
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
https://www.mdpi.com/1424-8220/14/9/17112
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this work, the problem of an energy-efficient wireless capsule endoscopy data management is investigated and proposed a mobile-cloud assisted video summarization framework. It is published in one of the top journals in instruments and instrumentation. It led to: selective encryption of medical images based on our mobile-cloud assisted computational framework [1], summarization framework for personalized wireless capsule endoscopy [2], and summarization of surveillance videos on smart devices [3]. This research is supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2012904).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -