FAST rate allocation through steepest descent for JPEG2000 video transmission

Francesc Aulí-Llinàs; Ali Bilgin; Michael W. Marcellin

doi:10.1109/TIP.2010.2077304

FAST rate allocation through steepest descent for JPEG2000 video transmission

Francesc Aulí-Llinàs, Ali Bilgin, Michael W. Marcellin

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

This work addresses the transmission of pre-encoded JPEG2000 video within a video-on-demand scenario. The primary requirement for the rate allocation algorithm deployed in the server is to match the real-time processing demands of the application. Scalability in terms of complexity must be provided to supply a valid solution by a given instant of time. The FAst rate allocation through STeepest descent (FAST) method introduced in this work selects an initial (and possibly poor) solution, and iteratively improves it until time is exhausted or the algorithm finishes execution. Experimental results suggest that FAST commonly achieves solutions close to the global optimum while employing very few computational resources.

Original language	English (US)
Article number	5582283
Pages (from-to)	1166-1173
Number of pages	8
Journal	IEEE Transactions on Image Processing
Volume	20
Issue number	4
DOIs	https://doi.org/10.1109/TIP.2010.2077304
State	Published - Apr 2011

Keywords

Motion JPEG2000
rate allocation
rate-distortion optimization
video transmission

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/TIP.2010.2077304

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title = "FAST rate allocation through steepest descent for JPEG2000 video transmission",

abstract = "This work addresses the transmission of pre-encoded JPEG2000 video within a video-on-demand scenario. The primary requirement for the rate allocation algorithm deployed in the server is to match the real-time processing demands of the application. Scalability in terms of complexity must be provided to supply a valid solution by a given instant of time. The FAst rate allocation through STeepest descent (FAST) method introduced in this work selects an initial (and possibly poor) solution, and iteratively improves it until time is exhausted or the algorithm finishes execution. Experimental results suggest that FAST commonly achieves solutions close to the global optimum while employing very few computational resources.",

keywords = "Motion JPEG2000, rate allocation, rate-distortion optimization, video transmission",

author = "Francesc Aul{\'i}-Llin{\`a}s and Ali Bilgin and Marcellin, {Michael W.}",

note = "Funding Information: Manuscript received September 15, 2009; revised May 26, 2010 and August 02, 2010; accepted September 08, 2010. Date of publication September 23, 2010; date of current version March 18, 2011. This work was completed during a research stage of the first author at the University of Arizona. A preliminary version of this research was presented at the IEEE International Conference on Image Processing, 2009. This work was supported in part by the Spanish Government (MICINN), by FEDER, and by the Catalan Government, under Grants MEC-BPD-2007-1040, 2008-BPB-0010, RYC-2010-05671, TIN2009-14426-C02-01, and 2009-SGR-1224. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Hsueh-Ming Hang.",

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doi = "10.1109/TIP.2010.2077304",

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AU - Aulí-Llinàs, Francesc

AU - Bilgin, Ali

AU - Marcellin, Michael W.

N1 - Funding Information: Manuscript received September 15, 2009; revised May 26, 2010 and August 02, 2010; accepted September 08, 2010. Date of publication September 23, 2010; date of current version March 18, 2011. This work was completed during a research stage of the first author at the University of Arizona. A preliminary version of this research was presented at the IEEE International Conference on Image Processing, 2009. This work was supported in part by the Spanish Government (MICINN), by FEDER, and by the Catalan Government, under Grants MEC-BPD-2007-1040, 2008-BPB-0010, RYC-2010-05671, TIN2009-14426-C02-01, and 2009-SGR-1224. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Hsueh-Ming Hang.

PY - 2011/4

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AB - This work addresses the transmission of pre-encoded JPEG2000 video within a video-on-demand scenario. The primary requirement for the rate allocation algorithm deployed in the server is to match the real-time processing demands of the application. Scalability in terms of complexity must be provided to supply a valid solution by a given instant of time. The FAst rate allocation through STeepest descent (FAST) method introduced in this work selects an initial (and possibly poor) solution, and iteratively improves it until time is exhausted or the algorithm finishes execution. Experimental results suggest that FAST commonly achieves solutions close to the global optimum while employing very few computational resources.

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KW - rate-distortion optimization

KW - video transmission

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FAST rate allocation through steepest descent for JPEG2000 video transmission

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Keywords

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