Results 131 to 140 of about 514,774 (196)
A new secure approach for AI-based compression across various domains. [PDF]
Sci RepAbdul-Jabbar SS +4 more
europepmc +1 more source
Compression benchmarking of holotomography data using OME-Zarr format. [PDF]
PLoS OneLee D, Park J, Lee J, Lee C, Park YP.
europepmc +1 more source
From Pixel Modification to Generative Synthesis: A Survey of Deep Learning for Image Data Hiding. [PDF]
J ImagingJanok M, Forgáč R, Hluchý L.
europepmc +1 more source
Technical note: A flexible framework for precision reduction of WRF inputs and outputs to balance storage efficiency and scientific fidelity. [PDF]
Atmos Chem PhysWu S +5 more
europepmc +1 more source
Hybrid Compression Method for Trained 3D Gaussian Splatting Models Based on VQ and HEVC. [PDF]
Sensors (Basel)Kim DH, Choi BY, Oh KJ, Lee G, Kim JG.
europepmc +1 more source
Generalized Forms of the Kraft Inequality for Finite-State Encoders. [PDF]
Entropy (Basel)Merhav N.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
2018 52nd Annual Conference on Information Sciences and Systems (CISS), 2018
The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are analyzed for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function f s , and then to derive fundamental limits for the performance of the resulting secrecy
Yanina Y. Shkel +2 more
openaire +1 more source
The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are analyzed for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function f s , and then to derive fundamental limits for the performance of the resulting secrecy
Yanina Y. Shkel +2 more
openaire +1 more source
Semi-lossless text compression
Data Compression Conference, 2004. Proceedings. DCC 2004, 2004A new notion, that of semi-lossless text compression, is introduced, and its applicability in various settings is investigated. First results suggest that it might be hard to exploit the additional redundancy of English texts, but the new methods could be useful in applications where the correct spelling is not important, such as in short emails, and ...
Yair Kaufman, Shmuel T. Klein
openaire +4 more sources
Lossless compression of already compressed textures
Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics, 2011Texture compression helps rendering by reducing the footprint in graphics memory, thus allowing for more textures, and by lowering the number of memory accesses between the graphics processor and memory, increasing performance and lowering power consumption.
Jacob Ström, Per Wennersten
openaire +2 more sources