Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression-Reference-Cited by-同舟云学术

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Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)
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Author:

Balcilar Muhammet¹,Damodaran Bharath Bhushan¹,Hellier Pierre¹

Affiliation:

1. InterDigital, Inc.,Rennes,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10008391/10008793/10008819.pdf?arnumber=10008819

Reference19 articles.

1. AIVC: Artificial Intelligence Based Video Codec

2. End-to-end rate-distortion optimized learned hierarchical bi -directional video compression;yilmaz;IEEE Transactions on Image Processing,2021

3. Extending Neural P-frame Codecs for B-frame Coding

4. Inference sub optimality in variational autoencoders;cremer;ICML,2018

5. Content adaptive and error propagation aware deep video compression;lu;ECCV,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Survey on Visual Signal Coding and Processing With Generative Models: Technologies, Standards, and Optimization;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06

2. RQAT-INR: Improved Implicit Neural Image Compression;2023 Data Compression Conference (DCC);2023-03

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