TY - GEN
T1 - Low bitrate image compression with discretized gaussian mixture likelihoods
AU - Cheng, Zhengxue
AU - Sun, Heming
AU - Katto, Jiro
N1 - Funding Information:
This work was supported in part by JST, PRESTO Grant Number JPMJPR19M5, Japan and Japan Society for the Promotion of Science (JSPS) Research Fellowship Grant Number 201914620.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - In this paper, we provide a detailed description on our submitted method Kattolab to Workshop and Challenge on Learned Image Compression (CLIC) 2020. Our method mainly incorporates discretized Gaussian Mixture Likeli-hoods to previous state-of-the-art learned compression algorithms. Besides, we also describes the acceleration strategies and bit optimization with the low-rate constraint. Experimental results have demonstrated that our approach Kattolab achieves 0.9761 in terms of MS-SSIM at the rate constraint of 0.15 bpp during the validation phase.
AB - In this paper, we provide a detailed description on our submitted method Kattolab to Workshop and Challenge on Learned Image Compression (CLIC) 2020. Our method mainly incorporates discretized Gaussian Mixture Likeli-hoods to previous state-of-the-art learned compression algorithms. Besides, we also describes the acceleration strategies and bit optimization with the low-rate constraint. Experimental results have demonstrated that our approach Kattolab achieves 0.9761 in terms of MS-SSIM at the rate constraint of 0.15 bpp during the validation phase.
UR - http://www.scopus.com/inward/record.url?scp=85090121495&partnerID=8YFLogxK
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U2 - 10.1109/CVPRW50498.2020.00071
DO - 10.1109/CVPRW50498.2020.00071
M3 - Conference contribution
AN - SCOPUS:85090121495
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 543
EP - 546
BT - Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
PB - IEEE Computer Society
T2 - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
Y2 - 14 June 2020 through 19 June 2020
ER -