Loughborough University
Browse
journal_concealment_aware.pdf (4.28 MB)

Error concealment-aware encoding for robust video transmission

Download (4.28 MB)
journal contribution
posted on 2018-07-20, 09:13 authored by Joao Carreira, Pedro A.A. Assuncao, Sergio M.M. Faria, Erhan Ekmekcioglu, Ahmet Kondoz
In this paper an error concealment-aware encoding scheme is proposed to improve the quality of decoded video in broadcast environments prone to transmission errors and data loss. The proposed scheme is based on a scalable coding approach where the best error concealment (EC) methods to be used at the decoder are optimally determined at the encoder and signalled to the decoder through SEI messages. Such optimal EC modes are found by simulating transmission losses followed by a lagrangian optimisation of the signalling rate - EC distortion cost. A generalised saliency-weighted distortion is used and the residue between coded frames and their EC substitutes is encoded using a rate-controlled enhancement layer. When data loss occurs the decoder uses the signalling information is used at the decoder, in case of data loss, to improve the reconstruction quality. The simulation results show that the proposed method achieves consistent quality gains in comparison with other reference methods and previous works. Using only the EC mode signalling, i.e., without any residue transmitted in the enhancement layer, an average PSNR gain up to 2.95 dB is achieved, while using the full EC-aware scheme, i.e., including residue encoded in the enhancement layer, the proposed scheme outperforms other comparable methods, with PSNR gain up to 3.79 dB.

History

School

  • Loughborough University London

Published in

IEEE Transactions on Broadcasting

Volume

65

Issue

2

Pages

282 - 293

Citation

CARREIRA, J.F.M. ...et al., 2019. Error concealment-aware encoding for robust video transmission. IEEE Transactions on Broadcasting, 65 (2), pp.282-293.

Publisher

© Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Acceptance date

2018-07-09

Publication date

2018-09-05

Notes

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISSN

0018-9316

eISSN

1557-9611

Language

  • en

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC