@article {5235,
	title = {Secure video summarization framework for personalized wireless capsule endoscopy},
	journal = {Pervasive and Mobile Computing},
	volume = {41},
	year = {2017},
	pages = {436-450},
	abstract = {Wireless capsule\&nbsp;endoscopy\&nbsp;(WCE) has several benefits over traditional endoscopy such as its portability and ease of usage, particularly for remote\&nbsp;internet of things\&nbsp;(IoT)-assisted\&nbsp;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,\&nbsp;keyframes\&nbsp;are extracted using a light-weighted video summarization scheme, making it more suitable for WCE. Next, a\&nbsp;cryptosystem\&nbsp;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.},
	author = {Rafik Hamza and Khan Muhammad and Zhihan Lv and Faiza Titouna}
}
