Standard-Compliant Multiple Description Image Coding Based on Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Standard-Compliant Multiple Description Image Coding Based on Convolutional Neural Networks

Published:2018-10-01 Issue:10 Volume:E101.D Page:2543-2546
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

ZHANG Ting¹,BAI Huihui¹,ZHANG Mengmeng²,ZHAO Yao¹

Affiliation:

1. Beijing Jiaotong University

2. North China University of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E101.D/10/E101.D_2018EDL8028/_pdf

Reference20 articles.

1. [1] V.K. Goyal, “Multiple description coding: Compression meets the network,” IEEE Signal Process. Mag., vol.18, no.5, pp.74-93, Sept. 2001. 10.1109/79.952806

2. [2] C. Lin, Y. Zhao, and C. Zhu, “Two-stage diversity-based multiple description image coding,” IEEE Signal Process. Lett., vol.15, no.1, pp.837-840, Aug. 2008. 10.1109/lsp.2008.2005044

3. [3] H. Bai, C. Zhu, and Y. Zhao, “Optimized multiple description lattice vector quantization for wavelet image coding,” IEEE Trans. Circuits Syst. Video Technol., vol.17, no.7, pp.912-917, July 2007. 10.1109/tcsvt.2007.898646

4. [4] Y. Wang, M.T. Orchard, and A.R. Reibman, “Multiple description image coding for noisy channels by pairing transform coefficients,” Proc. 1st Workshop Multimedia Signal Process, pp.419-424, June 1997. 10.1109/mmsp.1997.602671

5. [5] S.-H. Chang, P.C. Cosman, and L.B. Milstein, “Performance analysis of n-channel symmetric FEC-based multiple description coding for OFDM networks,” IEEE Trans. Image Process., vol.20, no.4, pp.1061-1076, April 2011. 10.1109/tip.2010.2081682

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