DocumentCode
604073
Title
Cloud Services for Improved User Experience in Sharing Mobile Videos
Author
Kovachev, D. ; Yiwei Cao ; Klamma, R.
Author_Institution
Adv. Community Inf. Syst. (ACIS), RWTH Aachen Univ., Aachen, Germany
fYear
2013
fDate
25-28 March 2013
Firstpage
298
Lastpage
303
Abstract
Despite the popularity of mobile video sharing, mobile user experience (UX) is not comparable with traditional TV or desktop video productions. The issue of poor UX in mobile video sharing can be associated with the high development cost, since the creation and utilization of a multimedia processing and distribution infrastructure is a non-trivial task for small groups of developers. In this paper, we present our solution comprised of mobile video processing services based on standard libraries which augment the raw video streams. Our services utilize the cloud computing paradigm for fast and intelligent processing in near-real time. Video streams are split in chunks and then fed to the ``resource-unlimited´´ distributed/cloud infrastructure which accelerate the processing phase. Application developers have the possibility to apply arbitrary computer vision algorithms on the video stream thus improving the quality of user experience depending on the application requirements. We providing navigation cues and content-based zooming of raw video streams. We evaluated the proposed solution from two perspectives - distributed chunk-based processing in the cloud and a user study by means of mental workload. Running experiments in mobile video applications demonstrate that our proposed techniques improve mobile user experience significantly.
Keywords
cloud computing; content-based retrieval; multimedia computing; quality of experience; video retrieval; video signal processing; video streaming; application requirement; cloud computing; cloud infrastructure; cloud service; computer vision algorithm; content-based zooming; development cost; distributed chunk-based processing; mental workload; mobile user experience; mobile video application; mobile video processing service; mobile video sharing; multimedia distribution infrastructure; multimedia processing infrastructure; navigation cue; near-real time intelligent processing; raw video stream; resource-unlimited distributed infrastructure; Cloud computing; Mobile communication; Object recognition; Production; Streaming media; Transcoding; Videos; cloud computing; mobile multimedia; user experience;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on
Conference_Location
Redwood City
Print_ISBN
978-1-4673-5659-6
Type
conf
DOI
10.1109/SOSE.2013.95
Filename
6525535
Link To Document