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Modified Hilbert Curve for Rectangles and Cuboids and Its Application in Entropy Coding for Image and Video Compression. [PDF]
Entropy (Basel), 2021 In our previous work, by combining the Hilbert scan with the symbol grouping method, efficient run-length-based entropy coding was developed, and high-efficiency image compression algorithms based on the entropy coding were obtained.
Rong Y, Zhang X, Lin J.
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Fast and Efficient Entropy Coding Architectures for Massive Data Compression
Technologies, 2023 The compression of data is fundamental to alleviating the costs of transmitting and storing massive datasets employed in myriad fields of our society. Most compression systems employ an entropy coder in their coding pipeline to remove the redundancy of ...
Francesc Aulí-Llinàs
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Information entropy of coding metasurface [PDF]
Light: Science and Applications, 2016 Because of their exceptional capability to tailor the effective medium parameters, metamaterials have been widely used to control electromagnetic waves, which has led to the observation of many interesting phenomena, for example, negative refraction, invisibility cloaking, and anomalous reflections and transmissions.
Tie Jun Cui, Shuo Liu, Cui Tie-Jun
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Entropy-Based Fast Largest Coding Unit Partition Algorithm in High-Efficiency Video Coding
Entropy, 2013 High-efficiency video coding (HEVC) is a new video coding standard being developed by the Joint Collaborative Team on Video Coding. HEVC adopted numerous new tools, such as more flexible data structure representations, which include the coding unit (CU),
Mengmeng Zhang +2 more
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Fast Relative Entropy Coding with A* coding
CoRR, 2022 Relative entropy coding (REC) algorithms encode a sample from a target distribution $Q$ using a proposal distribution $P$, such that the expected codelength is $\mathcal{O}(D_{KL}[Q \,||\, P])$. REC can be seamlessly integrated with existing learned compression models since, unlike entropy coding, it does not assume discrete $Q$ or $P$, and does not ...
Gergely Flamich +2 more
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IEEE Access, 2022 Smartphones penetration-rate continues expanding, from 44% in 2017 up to 59% expected increase in 2022 as reported by Strategy Analytics.
Rogelio Hasimoto-Beltran +2 more
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A Highly Pipelined and Highly Parallel VLSI Architecture of CABAC Encoder for UHDTV Applications
Sensors, 2023 Recently, specifically designed video codecs have been preferred due to the expansion of video data in Internet of Things (IoT) devices. Context Adaptive Binary Arithmetic Coding (CABAC) is the entropy coding module widely used in recent video coding ...
Chen Fu +3 more
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Energy and Performance Analysis of Lossless Compression Algorithms for Wireless EMG Sensors
Sensors, 2021 Electromyography (EMG) sensors produce a stream of data at rates that can easily saturate a low-energy wireless link such as Bluetooth Low Energy (BLE), especially if more than a few EMG channels are being transmitted simultaneously. Compressing data can
Giorgio Biagetti +4 more
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Entropy Vectors and Network Codes [PDF]
2007 IEEE International Symposium on Information Theory, 2007 We consider a network multicast example that relates the solvability of the multicast problem with the existence of an entropy function. As a result, we provide an alternative approach to the proving of the insufficiency of linear (and abelian) network codes and demonstrate the utility of non-Shannon inequalities to tighten outer bounds on network ...
Terence Chan, Alex J. Grant
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IET Image Processing, 2021 Entropy coding is the essential block of transform coders that losslessly converts the quantized transform coefficients into the bit‐stream suitable for transmission or storage.
Vikrant Singh Thakur +2 more
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