DocumentCode :
3599852
Title :
WeWatch: Bi-screen video watching experience on smart devices
Author :
Fuji Ren ; Mengni Chen ; Yu Gu
Author_Institution :
Anhui Province Key Lab. of Affective Comput. & Adv. Intell. Machine, Hefei Univ. of Technol., Hefei, China
fYear :
2014
Firstpage :
265
Lastpage :
270
Abstract :
The high resolution and widescreen mobile devices have tremendous applications in our daily lives. In this paper, we demonstrate a specific bi-screen video sharing application called WeWatch that a high resolution video is played across screens of two mobile devices. It helps users to enhance their watching experience on the Android system. In order to efficiently use idle mobile devices, we develop a novel algorithm to share videos with devices with different screen sizes and resolutions. Our research provides a method which automatically controls videos based on different distances between devices. The distance is determined by the empirical WiFi RSSI values obtained through the experimental studies. We have prototyped the system and conducted a real-world energy efficiency and user experience evaluations. Results show that WeWatch has negligible impact on battery lifetime while over 80% users like our application.
Keywords :
Android (operating system); mobile computing; video signal processing; wireless LAN; Android system; WeWatch bi-screen video sharing application; WiFi RSSI value; Wireless Fidelity; battery lifetime; energy efficiency evaluation; mobile devices; received signal strength indicator; smart devices; user experience evaluation; video watching experience; Aggregates; Electronic publishing; Information services; Internet; Servers; Smart phones; Distance detection; Energy efficiency; Screen adaptation; Video Sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
Type :
conf
DOI :
10.1109/CCIS.2014.7175740
Filename :
7175740
Link To Document :
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