Results 21 to 30 of about 885,042 (229)

Entropy Coding in HEVC [PDF]

open access: yes, 2014
Context-Based Adaptive Binary Arithmetic Coding (CABAC) is a method of entropy coding first introduced in H.264/AVC and now used in the latest High Efficiency Video Coding (HEVC) standard.
Detlev Marpe   +3 more
core   +1 more source

An Inequality for Logarithms and its Application in Coding Theory [PDF]

open access: yes, 1998
In this paper we prove a new analytic inequality for logarithms and apply it for the Noiseless Coding ...
Dragomir, Sever S, Dragomir, Nicoleta
core   +6 more sources

On Transmitted Complexity Based on Modified Compound States

open access: yesEntropy, 2023
Based on the classical dynamical entropy, the channel coding theorem is investigated. Attempts to extend the dynamical entropy to quantum systems have been made by several researchers In 1999, Kossakowski, Ohya and I introduced the quantum dynamical ...
Noboru Watanabe
doaj   +1 more source

Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard

open access: yesEntropy, 2021
In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used in connection with the JPEG compression standard.
Dariusz Puchala   +2 more
doaj   +1 more source

Universal Adaptive Stream-Based Entropy Coding

open access: yesIEEE Access
Data stream is a major data type in modern information equipment such as sensory and video/sound devices, which is fast and continuously generated without any stall cycle. Due to artificial intelligence becoming a common tool to extend application domain
Shinichi Yamagiwa, Taiki Kato
doaj   +1 more source

Autonomous Parameter Adjustment Method for Lossless Data Compression on Adaptive Stream-Based Entropy Coding

open access: yesIEEE Access, 2020
As speed of communication data path is drastically improved in this decade due to the high data rate, evolutional technology is demanded to address the fast communication implementation.
Shinichi Yamagiwa, Suzukaze Kuwabara
doaj   +1 more source

Lossless Compression of Sensor Signals Using an Untrained Multi-Channel Recurrent Neural Predictor

open access: yesApplied Sciences, 2021
The use of sensor applications has been steadily increasing, leading to an urgent need for efficient data compression techniques to facilitate the storage, transmission, and processing of digital signals generated by sensors. Unlike other sequential data
Qianhao Chen, Wenqi Wu, Wei Luo
doaj   +1 more source

The Compression Optimality of Asymmetric Numeral Systems

open access: yesEntropy, 2023
Source coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming, for instance) renews interest in fast compression that also squeezes out as much redundancy as ...
Josef Pieprzyk   +5 more
doaj   +1 more source

Analysis of the Limitations of Further Improvement of the Efficiency of VVC-CABAC

open access: yesIEEE Access, 2023
Hybrid video compression plays an invaluable role in digital video transmission and storage services and systems. It performs several-hundred-fold reduction in the amount of video data, which makes these systems much more efficient.
Damian Karwowski   +3 more
doaj   +1 more source

Entropy of Neuronal Spike Patterns

open access: yesEntropy
Neuronal spike patterns are the fundamental units of neural communication in the brain, which is still not fully understood. Entropy measures offer a quantitative framework to assess the variability and information content of these spike patterns.
Artur Luczak
doaj   +1 more source

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