NDLI: On-demand sharing of a high-resolution panorama video from networked robotic cameras

Content Provider	IEEE Xplore Digital Library
Author	Ni Qin Dezhen Song
Copyright Year	2007
Description	Author affiliation: Texas A&M Univ., College Station (Ni Qin; Dezhen Song)
Abstract	Due to their flexibility in coverage and resolution, networked robotic cameras become more and more popular in applications such as natural observation, security surveillance, and distance learning. Equipped with a high optical zoom lens, a networked robotic camera can generate a giga-pixel-level panorama to cover its viewable region. As new live frames enter the system, this panorama can be updated as a panorama video. User requests are usually not limited to the current camera frame. A user may request a specific region associated with a specific time window. To satisfy different spatiotemporal requests for multiple concurrent users, we present systems and algorithms to allow the on-demand sharing of the high-resolution panorama video. The high-resolution panorama video is encoded into a patch-based representation to allow efficient storage and on-demand content delivery. We present system architecture, user interface, data representation, and encoding/decoding algorithms. In the experiment, we have implemented the system using the MPEG-2 codec. Experimental results show that our system can not only satisfy different spatiotemporal queries but also significantly reduce computation time and communication bandwidth requirement.
Starting Page	3113
Ending Page	3118
File Size	351757
Page Count	6
File Format	PDF
ISBN	9781424409112
DOI	10.1109/IROS.2007.4399255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video on demand Video sharing Robot vision systems Cameras Spatiotemporal phenomena Surveillance Computer aided instruction Optical fiber networks Lenses Computer architecture
Content Type	Text
Resource Type	Article

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