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Efficient Compression of Genomic Sequences
2016 Data Compression Conference (DCC), 2016The number of genomic sequences is growing substantially. Besides discarding part of the data, the only efficient possibility for coping with this trend is data compression. We present an efficient compressor for genomic sequences, allowing both reference-free and referential compression.
Diogo Pratas +2 more
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Efficient decoding of compressed data
Journal of the American Society for Information Science, 1995In this article, we discuss the problem of enhancing the speed of Huffman decoding. One viable solution to this problem is the multibit scheme which uses the concept of k-bit trees to decode up to k bits at a time. A linear-time optimal solution for the mapping of 2-bit trees into memory is presented.
Bassiouni, Mostafa A., Mukherjee, Amar
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Efficient Compression of Visibility Sets
2005Interactive network-based walkthroughs in large urban environments raise difficult problems due to the size and density of these scenes. Thanks to the strong occlusion complexity of such environments, visibility streaming is a particularly efficient technique for minimizing the network load.
Christian Bouville +2 more
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ECG Compression by Efficient Coding
2007The continuous demand for high performance and low cost electrocardiogram (ECG) processing systems have required the elaboration of more and more efficient and reliable ECG compression techniques. Such techniques face a tradeoff between compression ratio and retrieved quality, where the decrease of the last can compromise the subsequent use of the ...
D. Guilhon, A. K. Barros, COMANI, Silvia
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Efficient Image Set Compression
2019 IEEE International Conference on Image Processing (ICIP), 2019The explosion of digital photos has posed a challenge for storage and transmission bandwidth. The thesis briefly discusses my work on efficient image set compression. The lossless compression of near-duplicate image collection is carried out using multiple steps, where each step is computationally demanding.
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Approximate compressed sensing for hardware-efficient image compression
2017 30th IEEE International System-on-Chip Conference (SOCC), 2017Recently, compressive sensing has attracted a lot of research interest due to its potential for realizing lightweight image compression solutions. Approximate or inexact computing on the other hand has been successfully applied to lower the complexity of hardware architectures for applications where a certain amount of performance degradation is ...
Sai Praveen Kadiyala +2 more
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Instruction splitting for efficient code compression
Proceedings of the 44th annual conference on Design automation - DAC '07, 2007The size of embedded software is rising at a rapid pace. It is often challenging and time consuming to fit an amount of required software functionality within a given hardware resource budget. Code compression is a means to alleviate the problem. In this paper we introduce a novel and efficient hardware-supported approach.
Talal Bonny, Jörg Henkel
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Efficient Compression of Encrypted Grayscale Images
IEEE Transactions on Image Processing, 2010Lossless compression of encrypted sources can be achieved through Slepian-Wolf coding. For encrypted real-world sources, such as images, the key to improve the compression efficiency is how the source dependency is exploited. Approaches in the literature that make use of Markov properties in the Slepian-Wolf decoder do not work well for grayscale ...
Wei Liu 0025 +3 more
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General‐purpose compression for efficient retrieval
Journal of the American Society for Information Science and Technology, 2001Compression of databases not only reduces space requirements but can also reduce overall retrieval times. In text databases, compression of documents based on semistatic modeling with words has been shown to be both practical and fast. Similarly, for specific applications-such as databases of integers or scientific databases-specially designed ...
Adam Cannane, Hugh E. Williams
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Efficient Neural Network Compression Inspired by Compressive Sensing
IEEE Transactions on Neural Networks and Learning SystemsTraditional neural network compression (NNC) methods decrease the model size and floating-point operations (FLOPs) in the manner of screening out unimportant weight parameters; however, the intrinsic sparsity characteristics have not been fully exploited. In this article, from the perspective of signal processing and analysis for network parameters, we
Wei Gao 0003 +4 more
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