Optimal bit allocation for hybrid scalable/multiple-description video transmission over wireless channels

Mohammad K. Jubran; Manu Bansal; Lisimachos P. Kondi

doi:10.1117/12.643605

19 January 2006 Optimal bit allocation for hybrid scalable/multiple-description video transmission over wireless channels

Mohammad K. Jubran, Manu Bansal, Lisimachos P. Kondi

Author Affiliations +

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60770D (2006) https://doi.org/10.1117/12.643605
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

In this paper, we consider the problem of optimal bit allocation for wireless video transmission over fading channels. We use a newly developed hybrid scalable/multiple-description codec that combines the functionality of both scalable and multiple-description codecs. It produces a base layer and multiple-description enhancement layers. Any of the enhancement layers can be decoded (in a non-hierarchical manner) with the base layer to improve the reconstructed video quality. Two different channel coding schemes (Rate-Compatible Punctured Convolutional (RCPC)/Cyclic Redundancy Check (CRC) coding and, product code Reed Solomon (RS)+RCPC/CRC coding) are used for unequal error protection of the layered bitstream. Optimal allocation of the bitrate between source and channel coding is performed for discrete sets of source coding rates and channel coding rates. Experimental results are presented for a wide range of channel conditions. Also, comparisons with classical scalable coding show the effectiveness of using hybrid scalable/multiple-description coding for wireless transmission.

Citation Download Citation

Mohammad K. Jubran, Manu Bansal, and Lisimachos P. Kondi "Optimal bit allocation for hybrid scalable/multiple-description video transmission over wireless channels", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770D (19 January 2006); https://doi.org/10.1117/12.643605

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