VidCat: an image and video analysis service for personal media management
Lee Begeja, Eric Zavesky, Zhu Liu, David C. Gibbon, Raghuraman Gopalan, Behzad Shahraray · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
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.