Quantization-Based Adaptive Deep Image Compression Using Semantic Information-Reference-Cited by-同舟云学术

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Quantization-Based Adaptive Deep Image Compression Using Semantic Information

Published:2023 Issue: Volume:11 Page:118061-118077
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lei Zhongyue¹^ORCID,Hong Xuemin¹^ORCID,Shi Jianghong¹,Su Minxian²,Lin Chaoheng³,Xia Wei⁴

Affiliation:

1. School of Informatics, Xiamen University, Xiamen, China

2. Xiamen Satellite Positioning Application Company Ltd., Xiamen, China

3. Xiamen Beidou Key Laboratory of Applied Technology, Xiamen, China

4. Fujian Centerm Information Company Ltd., Fuzhou, China

Funder

Science and Technology Key Project of Xiamen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10290903.pdf?arnumber=10290903

Reference62 articles.

1. Neural Image Compression and Explanation

2. Joint autoregressive and hierarchical priors for learned image compression;minnen;Proc Adv Neural Inf Process Syst (NeurIPS),2018

3. ImageNet: A large-scale hierarchical image database

4. End-to-End Learning of Compressible Features

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