17 papers · ranked by Valyu relevance
Simon Wiedemann, Heiner Kirchoffer, Stefan Matlage, Paul T. Haase + 9 more
'Arturo Marbán' 'Talmaj Marinč' 'David L. Neumann' 'Tung Thanh Nguyen' 'Ahmed Osman' 'Detlev Marpe' 'Heiko Schwarz' 'Thomas Wiegand' 'Wojciech Samek'] Abstract—The field of video compression has developed some of the most sophisticated and efficient compression algorithms known in the literature, enabling very high…
Anas Al-okaily, Abdelghani Tbakhi
Data compression is a challenging and increasingly important problem. As the amount of data generated daily continues to increase, efficient transmission and storage has never been more critical. In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated…
Shinichi Yamagiwa, Yuma Ichinomiya, Stefania Perri
Video applications have become one of the major services in the engineering field, which are implemented by server-client systems connected via the Internet, broadcasting services for mobile devices such as smartphones and surveillance cameras for security. Recently, the majority of video encoding mechanisms to reduce…
Paweł Pawłowski, Karol Piniarski, Adam Dąbrowski
In this paper we present a highly efficient coding procedure, specially designed and dedicated to operate with high dynamic range (HDR) RCCC (red, clear, clear, clear) image sensors used mainly in advanced driver-assistance systems (ADAS) and autonomous driving systems (ADS). The coding procedure can be used for a…
Kun Tu, Dariusz Puchala, Jun Chen, Sadaf Salehkalaibar
In this paper, we address the problem of m-gram entropy variable-to-variable coding, extending the classical Huffman algorithm to the case of coding m-element (i.e., m-grams) sequences of symbols taken from the stream of input data for $m>1$. We propose a procedure to enable the determination of the frequencies of the…
Grzegorz Ulacha, Mirosław Łazoryszczak, T. Aaron Gulliver, Jun Chen
This paper presents a method for lossless compression of images with fast decoding time and the option to select encoder parameters for individual image characteristics to increase compression efficiency. The data modeling stage was based on linear and nonlinear prediction, which was complemented by a simple block for…
Vida Ravanmehr, Minji Kim, Zhiying Wang, Olgica Milenković
The past decade has witnessed a rapid development of data acquisition technologies that enable integrative genomic and proteomic analysis. One such technology is chromatin immunoprecipitation sequencing (ChIP-seq), developed for analyzing interactions between proteins and DNA via next-generation sequencing…
Fatih Kamışlı
Many approaches have been proposed to support lossless coding within video coding standards that are primarily designed for lossy coding. The simplest approach is to just skip transform and quantization and directly entropy code the prediction residual, which is used in HEVC version 1. However, this simple approach is…
Xiaoshuai Fan, Xin Li, Zhibo Chen
—As a commonly-used image compression format, JPEG has been broadly applied in the transmission and storage of images. To further reduce the compression cost while maintaining the quality of JPEG images, lossless transcoding technology has been proposed to recompress the compressed JPEG image in the DCT domain.…
Borut Žalik, Damjan Strnad, Štefan Kohek, Ivana Kolingerová + 7 more
'Andrej Nerat' 'Niko Lukač' 'Bogdan Lipuš' 'Mitja Žalik' 'David Podgorelec' 'Jun Chen' 'Sadaf Salehkalaibar'] A new approach is proposed for lossless raster image compression employing interpolative coding. A new multifunction prediction scheme is presented first. Then, interpolative coding, which has not been applied…
Tiantian Li, Qunbing Xia, Yue Li, Ruixiao Guo + 1 more
Learning-based lossless image compression employs pixel-based or subimage-based auto-regression for probability estimation, which achieves desirable performances. However, the existing works only consider context dependencies in one direction, namely, those symbols that appear before the current symbol in raster order.…
Rogshan Yu, Wenxian Yang
Per-base quality values in NGS sequencing data take a significant portion of storage even after compression. Lossy compression technologies could further reduce the space used by quality values. However, in many applications lossless compression is still desired. Hence, sequencing data in multiple file formats have to…
Claudio Albert, Tom Paridaens, Jan Voges, Daniel Naro + 9 more
The MPEG-G standardization initiative is a coordinated international effort to specify a compressed data format that enables large scale genomic data to be processed, transported and shared. The standard consists of a set of specifications (i.e., a book) describing: i) a nor-mative format syntax, and ii) a normative…
Yibo Yang, Stephan Mandt, Lucas Theis
Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new possibilities for data compression, allowing compression algorithms to be learned end-to-end from data using powerful generative models such…
Shubham Chandak, Kedar Tatwawadi, Srivatsan Sridhar, Tsachy Weissman
Nanopore sequencing provides a real-time and portable solution to genomic sequencing, with long reads enabling better assembly and structural variant discovery than second generation technologies. The nanopore sequencing process generates huge amounts of data in the form of raw current data, which must be compressed to…
Chen-Hsiu Huang, Ja-Ling Wu, Jun Chen
End-to-end learned image compression codecs have notably emerged in recent years. These codecs have demonstrated superiority over conventional methods, showcasing remarkable flexibility and adaptability across diverse data domains while supporting new distortion losses. Despite challenges such as computational…
Hendrik Vincent Koops, Gianluca Micchi, Elio Quinton
Previous research contributions on blind lossy compression identification report near perfect performance metrics on their test set, across a variety of codecs and bit rates. However, we show that such results can be deceptive and may not accurately represent true ability of the system to tackle the task at hand. In…