Results 161 to 170 of about 2,483,627 (230)
Assembly theory and its relationship with computational complexity. [PDF]
Kempes CP +6 more
europepmc +1 more source
Image/Video Coding and Processing Techniques for Intelligent Sensor Nodes. [PDF]
Zhou J, Taniguchi I, Jin X.
europepmc +1 more source
Efficient Large-Scale Point Cloud Geometry Compression. [PDF]
Lu S, Han C, Yang H.
europepmc +1 more source
Multi-Party Controlled Semi-Quantum Dialogue Protocol Based on Hyperentangled Bell States. [PDF]
Zhao MN, Zhou RG, Feng YH.
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Lossless coding support in VVC
Applications of Digital Image Processing XLIII, 2020This Conference Presentation, "Lossless coding support in VVC" was recorded for the Optics + Photonics Digital Forum.
Benjamin Bross +4 more
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Lossless Coding Extensions for JPEG
2015 Data Compression Conference, 2015The issue of backwards compatible image and video coding gained some attention in both MPEG and JPEG, let it be as extension for HEVC, let it be as the JPEG XT standardization initiative of the SC29WG1 committee. The coding systems work all on the principle of a base layer operating in the low-dynamic range regime, using a tone-mapped version of the ...
T. Richter
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Low-Complexity Lossless Coding for Memory-Efficient Representation of Event Camera Frames
IEEE Sensors Letters, 2022A novel low-complexity lossless coding framework is proposed for efficient memory representation of event frames (EFs) suitable for hardware implementation in the low-cost event signal processing (ESP) chip.
I. Schiopu, R. Bilcu
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A Visually Meaningful Image Encryption Scheme Based on Lossless Compression SPIHT Coding
IEEE Transactions on Services Computing, 2023With the popularity of social networks and the increase of cloud platform applications, service computing has also developed. Therefore, the protection of information even privacy uploaded to the cloud server has become critical.
Yang Yang +3 more
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IEEE Wireless Communications Letters, 2021
Non-orthogonal multiple access (NOMA) has a larger achievable sum rate than orthogonal multiple access (OMA). This superiority is achieved via superposition coding (SC) and successive interference cancellation (SIC). In this letter, the authors propose a
K. Chung
semanticscholar +1 more source
Non-orthogonal multiple access (NOMA) has a larger achievable sum rate than orthogonal multiple access (OMA). This superiority is achieved via superposition coding (SC) and successive interference cancellation (SIC). In this letter, the authors propose a
K. Chung
semanticscholar +1 more source

