Analysis and modeling of optimal error protection for embedded codestreams

Muhammad Imran Iqbal; Hans-Jürgen Zepernick

doi:10.1117/1.JEI.21.2.023022

22 June 2012 Analysis and modeling of optimal error protection for embedded codestreams

Muhammad Imran Iqbal, Hans-Jürgen Zepernick

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 2, 023022 (June 2012). https://doi.org/10.1117/1.JEI.21.2.023022

Abstract

Efficient utilization of bandwidth is key to providing mobile multimedia services such as wireless imaging. As such, efficient allocation of the available parity budget for error protection of the associated codestreams is essential for ensuring quality of service. Computing the optimal parity allocation to the codestream packets may not be possible in real-time due to the huge number of ways the parity can be assigned to the codestream packets. This is particularly true for systems having limited resources, such as mobile handheld devices. As a result, it is important to provide an error-protection scheme that gives good error-protection performance while imposing low computational and memory demands on the system. We therefore analyze how different parameters such as signal-to-noise ratio and source distortion-rate function affect the optimal unequal error protection (UEP) scheme for embedded codestreams. We also propose to approximate the optimal UEP using suitable mathematical models in order to reduce the complexity that otherwise would occur with computing the optimal UEP. We investigate several models for their fitness in approximating the optimal UEP using different performance metrics. The simulation results show that most of these models provide an excellent trade-off between performance and complexity.

Citation Download Citation

Muhammad Imran Iqbal and Hans-Jürgen Zepernick "Analysis and modeling of optimal error protection for embedded codestreams," Journal of Electronic Imaging 21(2), 023022 (22 June 2012). https://doi.org/10.1117/1.JEI.21.2.023022

Published: 22 June 2012

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