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Proceedings Paper

Rate allocation method for the fast transmission of pre-encoded meteorological data over JPIP
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Paper Abstract

This work addresses the transmission of pre-encoded video containing meteorological data over JPIP. The primary requirement for the rate allocation algorithm deployed in the JPIP server is the real-time processing demands of the application. A secondary requirement for the proposed algorithm is that it should be able to either minimize the mean squared error (MMSE) of the video sequence, or minimize the maximum distortion (MMAX). The MMSE criterion considers the minimization of the overall distortion, whereas MMAX achieves pseudo-constant quality for all frames. The proposed rate allocation method employs the FAst rate allocation through STeepest descent (FAST) method that was initially developed for video-on-demand applications. The adaptation of FAST in the proposed remote sensing scenario considers meteorological data captured by the European meteorological satellites (Meteosat). Experimental results suggest that FAST can be successfully adopted in remote sensing scenarios.

Paper Details

Date Published: 13 August 2010
PDF: 8 pages
Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 781002 (13 August 2010); doi: 10.1117/12.860619
Show Author Affiliations
Leandro Jiménez-Rodríguez, Autonomous Univ. of Barcelona (Spain)
Francesc Aulí-Llinàs, Autonomous Univ. of Barcelona (Spain)
Juan Muñoz-Gómez, Autonomous Univ. of Barcelona (Spain)
Joan Bartrina-Rapesta, Autonomous Univ. of Barcelona (Spain)
Ian Blanes, Autonomous Univ. of Barcelona (Spain)
Joan Serra-Sagristà, Autonomous Univ. of Barcelona (Spain)

Published in SPIE Proceedings Vol. 7810:
Satellite Data Compression, Communications, and Processing VI
Bormin Huang; Antonio J. Plaza; Joan Serra-Sagristà; Chulhee Lee; Yunsong Li; Shen-En Qian, Editor(s)

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