Rate allocation method for the FAst transmission of pre-encoded meteorological data over JPIP

Leandro Jiménez-Rodríguez*, Francesc Aulí-Llinàs, Juan Muñoz-Gómez, Joan Bartrina-Rapesta, Ian Blanes, Joan Serra-Sagristà

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageAmerican English
JournalProceedings of SPIE - The International Society for Optical Engineering
DOIs
Publication statusPublished - 2010

Keywords

  • Interactive image transmission
  • Rate allocation
  • Rate-distortion optimization

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