DocumentCode
3264549
Title
Sensor aided H.264 Video Encoder for UAV applications
Author
Angelino, C.V. ; Cicala, L. ; De Mizio, M. ; Leoncini, P. ; Baccaglini, E. ; Gavelli, M. ; Raimondo, N. ; Scopigno, Roberto
Author_Institution
Payload Sensors & HMI Lab., Centro Italiano Ric. Aerospaziali, Capua, Italy
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
173
Lastpage
176
Abstract
This paper presents a new low-complexity H.264 encoder for Unmanned Aerial Vehicles (UAV) applications. Standard video coding systems currently employed in UAV applications do not rely on some peculiarities in terms of scene 3D model and correlation among successive frames. In particular, the observed scene is static, i.e. the camera movement is dominant, and it can often be well approximated with a plane. Moreover, camera position and orientation can be obtained from the navigation system. Therefore, correspondent points on two video frames are linked by a simple homography. The encoder employs a new motion estimation scheme which make use of the global motion information provided by the onboard navigation system. The homography is used in order to initialize the block matching algorithm allowing a more robust motion estimation and a smaller search window, and hence reducing the complexity. Experimental results show that the proposed scheme ouperforms standard H.264 in terms of PSNR and throughput. The results are relevant in low frame rate video coding, which is a typical scenario in UAV behind line-of-sight (BLOS) missions. Experiments open new drections in developing new sensor aided video coding standards.
Keywords
autonomous aerial vehicles; image matching; image sensors; mobile robots; motion estimation; robot vision; telerobotics; video coding; BLOS missions; UAV applications; UAV behind line-of-sight; block matching algorithm; camera movement; camera position; global motion information; motion estimation scheme; navigation system; onboard navigation system; sensor aided H.264 video encoder; sensor aided video coding standards; standard video coding systems; unmanned aerial vehicles; video frames; Bit rate; Cameras; Encoding; Motion estimation; Standards; Vectors; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Picture Coding Symposium (PCS), 2013
Conference_Location
San Jose, CA
Print_ISBN
978-1-4799-0292-7
Type
conf
DOI
10.1109/PCS.2013.6737711
Filename
6737711
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