Real Time Collaborative Video Annotation Using Google App Engine and XMPP Protocol

Author

Attarwala, Abbas ; Jagdish, Deepak ; Fischer, Ute

Author_Institution

Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada

fYear

2011

fDate

4-9 July 2011

Firstpage

738

Lastpage

739

Abstract

This WIP paper reports the status of a Windows based tool, ´Event Coding and Visualization of Data´ (ECOVRD) that allows real time collaborative video annotation using Google App Engine (GAE) and XMPP protocol. ECOVRD facilitates classification of live or video recorded individual and team behavior. It is designed with the dual purpose of advancing behavioral (observational) research and of supporting applied uses such as performance assessment and feedback during professional coaching. Users of ECOVRD can initiate a shared real-time video annotation with their social network (Google Buzz) via XMPP protocol. The custom-built publish/subscribe architecture wrapped around GAE´s channel service, pushes data from the cloud to subscribed clients resulting in real-time collaborative experience. ECORVD may be the first to successfully leverage the server push framework of GAE for desktop based video annotation applications.

Keywords

data visualisation; groupware; message passing; real-time systems; social networking (online); video coding; GAE channel service; Google App engine; Windows based tool; XMPP protocol; custom-built publish-subscribe architecture; data visualization; event coding; real time collaborative video annotation; social network; Cloud computing; Conferences; Google App Engine; XMPP; publish/subscribe; server push; video annotation;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing (CLOUD), 2011 IEEE International Conference on

Conference_Location

Washington, DC

ISSN

2159-6182

Print_ISBN

978-1-4577-0836-7

Electronic_ISBN

2159-6182

Type

conf

DOI

10.1109/CLOUD.2011.92

Filename

6008779