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Proceedings Paper

VidCat: an image and video analysis service for personal media management
Author(s): Lee Begeja; Eric Zavesky; Zhu Liu; David Gibbon; Raghuraman Gopalan; Behzad Shahraray
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Paper Abstract

Cloud-based storage and consumption of personal photos and videos provides increased accessibility, functionality, and satisfaction for mobile users. One cloud service frontier that is recently growing is that of personal media management. This work presents a system called VidCat that assists users in the tagging, organization, and retrieval of their personal media by faces and visual content similarity, time, and date information. Evaluations for the effectiveness of the copy detection and face recognition algorithms on standard datasets are also discussed. Finally, the system includes a set of application programming interfaces (API’s) allowing content to be uploaded, analyzed, and retrieved on any client with simple HTTP-based methods as demonstrated with a prototype developed on the iOS and Android mobile platforms.

Paper Details

Date Published: 7 March 2013
PDF: 11 pages
Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670F (7 March 2013); doi: 10.1117/12.2008528
Show Author Affiliations
Lee Begeja, AT&T Labs. Research (United States)
Eric Zavesky, AT&T Labs. Research (United States)
Zhu Liu, AT&T Labs. Research (United States)
David Gibbon, AT&T Labs. Research (United States)
Raghuraman Gopalan, AT&T Labs. Research (United States)
Behzad Shahraray, AT&T Labs. Research (United States)

Published in SPIE Proceedings Vol. 8667:
Multimedia Content and Mobile Devices
Reiner Creutzburg; Todor G. Georgiev; Dietmar Wüller; Cees G. M. Snoek; Kevin J. Matherson; David Akopian; Andrew Lumsdaine; Lyndon S. Kennedy, Editor(s)

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