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IEEE Transactions on Image Processing, 2022
3D volumetric image processing has attracted increasing attention in the last decades, in which one major research area is to develop efficient lossless volumetric image compression techniques to better store and transmit such images with massive amount ...
Zhenghao Chen +3 more
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3D volumetric image processing has attracted increasing attention in the last decades, in which one major research area is to develop efficient lossless volumetric image compression techniques to better store and transmit such images with massive amount ...
Zhenghao Chen +3 more
semanticscholar +1 more source
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques
2021 IEEE International Conference on Big Data (Big Data), 2021In the past decades, various lossy compressors have been studied broadly due to the ever-increasing volume of data being produced by today’s scientific applications.
Jinyang Liu +7 more
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Chimp: Efficient Lossless Floating Point Compression for Time Series Databases
Proceedings of the VLDB Endowment, 2022Applications in diverse domains such as astronomy, economics and industrial monitoring, increasingly press the need for analyzing massive collections of time series data.
Panagiotis Liakos +2 more
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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 ...
Kaufman, Yair, Klein, Shmuel T.
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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
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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
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Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point Cloud Compression
IEEE transactions on circuits and systems for video technology (Print), 2021Point cloud compression is critical to deploy 3D applications like autonomous driving. However, LiDAR point clouds contain many disconnected regions, where redundant bits for unoccupied 3D space and weak correlations between points make it a troublesome ...
Fei Song +4 more
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IEEE Geoscience and Remote Sensing Magazine, 2021
The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-B-2, “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” standard.
Miguel Hernández-Cabronero +6 more
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The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-B-2, “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” standard.
Miguel Hernández-Cabronero +6 more
semanticscholar +1 more source
Lossless Compression of Deep Neural Networks
Integration of AI and OR Techniques in Constraint Programming, 2020Deep neural networks have been successful in many predictive modeling tasks, such as image and language recognition, where large neural networks are often used to obtain good accuracy.
Thiago Serra +2 more
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GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
arXiv.orgKey-value (KV) caching has become the de-facto to accelerate generation speed for large language models (LLMs) inference. However, the growing cache demand with increasing sequence length has transformed LLM inference to be a memory bound problem ...
Hao Kang +6 more
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Computer Vision and Pattern Recognition, 2021
We propose a novel joint lossy image and residual compression framework for learning ℓ∞-constrained near-lossless image compression. Specifically, we obtain a lossy reconstruction of the raw image through lossy image compression and uniformly quantize ...
Yuanchao Bai +4 more
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We propose a novel joint lossy image and residual compression framework for learning ℓ∞-constrained near-lossless image compression. Specifically, we obtain a lossy reconstruction of the raw image through lossy image compression and uniformly quantize ...
Yuanchao Bai +4 more
semanticscholar +1 more source