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Secure video summarization framework for personalized wireless capsule endoscopy

delete2017-10-01
delete47
PRE
AI
R
Rafik Hamza
K
Khan Muhammad
吕
吕智涵 (Zhihan Lv) *
F
Faiza Titouna
DOI:10.1016/j.pmcj.2017.03.011delete
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摘要

摘要

En 中文
Wireless capsule endoscopy (WCE) has several benefits over traditional endoscopy such as its portability and ease of usage, particularly for remote internet of things (IoT)-assisted healthcare services. During the WCE procedure, a significant amount of redundant video data is generated, the transmission of which to healthcare centers and gastroenterologists securely for analysis is challenging as well as wastage of several resources including energy, memory, computation, and bandwidth. In addition to this, it is inherently difficult and time consuming for gastroenterologists to analyze this huge volume of gastrointestinal video data for desired contents. To surmount these issues, we propose a secure video summarization framework for outdoor patients going through WCE procedure. In the proposed system, keyframes are extracted using a light-weighted video summarization scheme, making it more suitable for WCE. Next, a cryptosystem is presented for security of extracted keyframes based on 2D Zaslavsky chaotic map. Experimental results validate the performance of the proposed cryptosystem in terms of robustness and high-level security compared to other recent image encryption schemes during dissemination of important keyframes to healthcare centers and gastroenterologists for personalized WCE. (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
Information security
Medical image analysis
Wireless capsule endoscopy
Image encryption
Personalized healthcare systems
Video summarization
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Pervasive and Mobile Computing 封面图
Pervasive and Mobile Computing
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3.5
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Sejong University
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Qingdao University
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University of Batna 2
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