DecMac: A Deep Context Model for High Efficiency Arithmetic Coding

Author:

Liu Qian,Xu Yiling,Li Zhu

Publisher

IEEE

Cited by 9 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. Modified Arithmetic Coding to Increase the Compression Rate of Text Data;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

2. DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things;Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems;2023-10-30

3. Transforming Big Data: A Novel Arithmetic Compression Method Based on Symbol Frequency;2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT);2023-10-19

4. Accelerating General-purpose Lossless Compression via Simple and Scalable Parameterization;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

5. Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data;Sensors;2022-07-16

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