SEVA: sensor-enhanced video annotation

13 years 8 months ago
SEVA: sensor-enhanced video annotation
In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a large repository of image and video files. We design and implement a digital recording system that records identities and locations of objects (as advertised by their sensors) along with visual images (as recorded by a camera). The process, which we refer to as sensor-enhanced video annotation (SEVA), combines a series of correlation, interpolation, and extrapolation techniques. It produces a tagged stream that later can be used to efficiently search for videos or frames containing particular objects or people. We present detailed experiments with a prototype of our system using both stationary and mobile objects as well as GPS and ultrasound. Our experiments show that: (i) SEVA has zero error rates for static objects, except very close to the boundary of the viewable area; (ii) for moving objects or a moving c...
Xiaotao Liu, Mark D. Corner, Prashant J. Shenoy
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where MM
Authors Xiaotao Liu, Mark D. Corner, Prashant J. Shenoy
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