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Wireless video: an interlayer error-protection-aided multilayer approach

Record type: Article

Video clips captured from realworld scenes exhibit intraframe correlation among their pixels. This correlation can be removed by applying video compression to reduce the required the storage space, transmission bandwidth, bitrate, and power. Layered video coding separates the video sequence into partitions having unequal importance, hence allowing the decoder to progressively refine the reconstructed video quality, when an increased bandwidth is available. On the other hand, compressed video signals are sensitive to channel errors. Therefore, forward error correction (FEC) must be applied when communicating over hostile wireless channels. In addition, based on the fact that the different layers have unequal importance, different-rate FEC codes may be applied to the different layers, leading to unequal error protection (UEP). We propose an interlayer (IL) FEC coding technique combined with UEP, where the lower-importance layers are used for protecting the higher-importance layers in the data-partitioned mode of H.264/advanced video coding (AVC). Explicitly, our simulation results show that the IL coded system outperforms the traditional UEP system by providing a better video quality for transmission over a wireless channel having Eb /N0 of 0 dB, when using our multifunctional multiple-input, multiple-output (MIMO) array.

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Citation

Huo, Yongkai, El-Hajjar, Mohammed and Hanzo, Lajos (2014) Wireless video: an interlayer error-protection-aided multilayer approach IEEE Vehicular Technology Magazine, 9, (3), pp. 104-112. (doi:10.1109/MVT.2014.2334411).

More information

Published date: 8 September 2014
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 367214
URI: http://eprints.soton.ac.uk/id/eprint/367214
ISSN: 1556-6072
PURE UUID: f9af8bae-388d-4ff7-a410-664f695eaad8
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401

Catalogue record

Date deposited: 24 Jul 2014 13:40
Last modified: 18 Jul 2017 02:02

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Contributors

Author: Yongkai Huo
Author: Mohammed El-Hajjar ORCID iD
Author: Lajos Hanzo

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