Abstract
Nowadays, interacting video contents with the mobile device is a prevalent activity. Generating and sharing the created digitalized stories through a video sharing social networking service is popular among people. Nonetheless, there is no distinctive approach for creating contents with the mobile devices; rather, it follows the traditional media production method. Besides, generating contents does not embrace the idea of utilizing mobile devices’ computing and communication abilities to generate a video content. In this paper, we propose EMVideo. EMVideo is a novel collaboration scheme for mobile devices to automatically edit video frames into a video. We believe that the proposed scheme can be utilized as an innovative application for digital storytelling.
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Notes
In this paper, the terminology of subject represents the person, animal or object that is being filmed or photographed.
We utilized a laptop with a 3D camera as an Observer, since 3D data from the smartphone with a 3D camera was not accessible for computation.
We employed Kinect for Microsoft’s Xbox 360.
References
Ahlstrom BD, Burch WL, Mercer I, Patten MJ, Randall RS Automatic capturing and editing of a video (2010). US Patent 7,739,599
Ahmed DT, Hossain MA, Shirmohammadi S, AlGhamdi A, Atrey PK, El Saddik A (2012) Utility based decision support engine for camera view selection in multimedia surveillance systems. Multimedia Tools and Applications, pp 1–22
Bradley C, Haynes R, Cook J, Boyle T, Smith C (2009) Design and development of multimedia learning objects for mobile phones. Mobile learning: Transforming the delivery of education and training, pp 157–182
Brezeale D, Cook DJ (2008) Automatic video classification: A survey of the literature. Systems, Man, and Cybernetics, Part, C:Applications and Reviews. IEEE Trans 38(3):416–430
Burgess JE, Green JB (2009) YouTube: Online video and participatory culture. Polity press
Burrows G (2005) Living gallery: Investigating dynamic display of artwork through proximity detection
Chambel T, Correia L, Manzolli J, Miguel GD, Henriques NA, Correia N (2007) Creating video art with evolutionary algorithms. Comput Graph 31(6):837–847
Christie M, Lino C, Ronfard R, et al. (2012) Film editing for third person games and machinima. In: Workshop on Intelligent Cinematography and Editing
Daniyal F, Taj M, Cavallaro A (2010) Content and task-based view selection from multiple video streams. Multimedia tools appl 46(2–3):235–258
Davis M (2003) Active capture: Integrating human-computer interaction and computer vision/audition to automate media capture. In: Proceedings of the international conference on multimedia and expo, 2003, ICME’03, vol. 2, pp II–185. IEEE
Google Inc. Project Tango. URL https://www.google.com/atap/projecttango/
Hall E (1966) The hidden dimension: Man’s use of space in public and private. Doubleday, New York
Herrington A (2009) Using a smartphone to create digital teaching episodes as resources in adult education. Faculty of Education-Papers , p 78
KT: 3rd olleh International Smartphone Film Festival (2013). http://www.ollehfilmfestival.com/new2/eng/main.jsp
Lee SK (2014). Emvideo sample video. [Video] Retrieved from. http://youtu.be/9VOaVmDPDqg
Lee SK, McHenry K, Kooper R, Bajcsy P (2009) Characterizing human subjects in real-time and three-dimensional spaces by integrating thermal-infrared and visible spectrum cameras. In: IEEE international conference on multimedia and expo, ICME 2009, pp 1708–1711. IEEE
Lee SK, Yoo S, Kim E, Kim H, Kim K, Kim H (2014) EMVideo: user collaboration framework for generating multimedia contents in social networks. In: Proceedings. Global Communications Conference 2014. GLOBECOM 2014. IEEE, pp 2941–2946
LG Electronics LG Electronics Optimus 3D. http://www.lgmobile.co.kr/event/optimus3d/page.jsp
Liu H, Philipose M, Sun MT (2013) Automatic objects segmentation with rgb-d cameras. Journal of Visual Communication and Image Representation (0)
Machnicki E, Rowe LA (2001) Virtual director: Automating a webcast. In: Electronic Imaging 2002, pp 208–225. International Society for Optics and Photonics
Make Mobile Film Festival (2014) Mobile Film Festival. http://fr.mobilefilmfestival.com/laureats
Microsoft Corporation Kinect for Windows. http://www.microsoft.com/en-us/kinectforwindows/
OpenCV Team Opencv. http://opencv.org/
OpenNI Org. (2013) OpenNI, the standard framework for 3D sensing. https://github.com/OpenNI/OpenNI
PortAudio (2014) Portable Cross-platform Audio I/O. http://www.portaudio.com/
Ramírez A, Davis M (2004) Active capture and folk computing. In: Proc. ICME 2004
Roach MJ, Mason J, Pawlewski M (2001) Video genre classification using dynamics. In: Proceedings of the 2001 IEEE international conference on acoustics, speech, and signal processing, (ICASSP’01), vol. 3, pp 1557–1560. IEEE
Roussel N, Evans H, Hansen H (2004) Proximity as an interface for video communication. Multimed IEEE 11(3):12–16
Botello S (2014) Productions: international mobile film festival. http://www.mobilfilmfestival.com/
Scheible J, Ojala T (2005) Mobilenin combining a multi-track music video, personal mobile phones and a public display into multi-user interactive entertainment. In: Proceedings of the 13th annual ACM international conference on multimedia, pp 199–208. ACM
Sheppard J (2009) The rhetorical work of multimedia production practices: It’s more than just technical skill. Comput Compos 26(2):122–131
Thornton P, Houser C (2005) Using mobile phones in english education in japan. J Comput Assist Learn 21(3):217–228
Times LA (2011) Movie shot on iPhone 4 by Park Chan-wook to hit South Korean theaters. http://latimesblogs.latimes.com/technology/2011/01/video-iphone-movie-to-hit-s-korea-theatres.html
Truong BT, Dorai C (2000) Automatic genre identification for content-based video categorization. In: Proceedings of the 15th international conference on pattern recognition, 2000, vol. 4, pp 230–233. IEEE
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2010388).
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A preliminary version of this work appeared in the IEEE Global Communications Conference (Globecom) 2014 [17].
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Lee, S.K., Yoo, S. & Kim, H. Devising a user collaboration scheme to automatically generate videos. Multimed Tools Appl 75, 4615–4638 (2016). https://doi.org/10.1007/s11042-015-2495-7
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DOI: https://doi.org/10.1007/s11042-015-2495-7