Channel adaptive video compression for unmanned aerial vehicles (UAVs)

David L. Hench; Pankaj N. Topiwala; Zixiang Xiong

doi:10.1117/12.564458

2 November 2004 Channel adaptive video compression for unmanned aerial vehicles (UAVs)

David L. Hench, Pankaj N. Topiwala, Zixiang Xiong

Proceedings Volume 5558, Applications of Digital Image Processing XXVII; (2004) https://doi.org/10.1117/12.564458
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

We examine various issues related to demonstrating real-time channel adaptive video communications for UAVs using the latest-generation H.264 video compression technology. These issues include among others: real-time channel estimation techniques, real-time data rate adaptation techniques in H.264/AVC, latency in encoding, current encoding speeds, transcoding, and scalable video developments in H.264, all as essential steps along the way. These demonstrations will be conducted in a communication laboratory and a limited operational testing environment.

Citation Download Citation

David L. Hench, Pankaj N. Topiwala, and Zixiang Xiong "Channel adaptive video compression for unmanned aerial vehicles (UAVs)", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.564458

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available