Adaptive Context Modeling for Arithmetic Coding Using Perceptrons-Reference-Cited by-同舟云学术

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Adaptive Context Modeling for Arithmetic Coding Using Perceptrons

Published:2022 Issue: Volume:29 Page:2382-2386
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Lopes Lucas S.¹^ORCID,Chou Philip A.²^ORCID,de Queiroz Ricardo L.¹^ORCID

Affiliation:

1. Department of Computer Science, Universidade de Brasilia, Brasilia, Brazil

2. Google, Seattle, WA, USA

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9686799/09954621.pdf?arnumber=9954621

Reference27 articles.

1. Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC)

2. DecMac: A Deep Context Model for High Efficiency Arithmetic Coding

3. DeepZip: Lossless Data Compression Using Recurrent Neural Networks

4. Neural network-based arithmetic coding of intra prediction modes in HEVC

5. Neural Network-Based Arithmetic Coding for Inter Prediction Information in HEVC

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