Cameras are found everywhere in the Internet of Things (IoT). We propose a scalable platform using SAVI for the continuous collection of context-aware processed video from mobile devices. Users can perform efficient context-based searches on the total collection of labeled videos. In this project  we discuss the challenges and benefit.s for video upload, video labeling and context-based search on the SAVI network.

Team

• Nina Taherimakhsousi (ninata@uvic.ca)
• Hausi A. Müller (hausi@cs.uvic.ca)

Talks and Posters

• Consortium for Software Engineering Research (CSER), Fall 2015.
• Conference of the Center for Advanced Studies on Collaborative Research (CASCON), Nov. 2015. People's Choice Technology Showcase Award. 

• N. Taherimakhsousi, H.A. Müller: Context-aware real-time video analytics. In Proceedings Conference of the Center for Advanced Studies on Collaborative Research (CASCON 2015), pp. 223-226, Nov. 2015. Read Article
• N. Taherimakhsousi, H.A. Müller: CAVA: Context Aware Video Analytics with Decentralized Cloud on the SAVI Network. 4th International IBM Cloud Academy Conference (ICACON 2016), Jun. 2016. Read Article