Modern Video Coding Standards: H.264, H.265, and H.266

Li, Ze-Nian; Drew, Mark S.; Liu, Jiangchuan

doi:10.1007/978-3-030-62124-7_12

Cited by 8 publications

(6 citation statements)

References 25 publications

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“…Trees are loaded either from a Newick file and TSV metadata file, or from a custom preprocessed Taxonium JSONL format combining the two. The Taxonium JSONL format contains a pre-computed layout for the tree, reducing the amount of computation required for its display, but Newick files can also be laid out in the client, which is achieved using an approach heavily based on JStree ( Li, 2021 ). More expensive computational operations, such as the sparsification of the tree for display, are performed in a web worker in order to maintain a responsive interface.…”

Section: Resultsmentioning

confidence: 99%

Taxonium, a web-based tool for exploring large phylogenetic trees

Sanderson

2022

eLife

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The COVID-19 pandemic has resulted in a step change in the scale of sequencing data, with more genomes of SARS-CoV-2 having been sequenced than any other organism on earth. These sequences reveal key insights when represented as a phylogenetic tree, which captures the evolutionary history of the virus, and allows the identification of transmission events and the emergence of new variants. However, existing web-based tools for exploring phylogenies do not scale to the size of datasets now available for SARS-CoV-2. We have developed Taxonium, a new tool that uses WebGL to allow the exploration of trees with tens of millions of nodes in the browser for the first time. Taxonium links each node to associated metadata and supports mutation-annotated trees, which are able to capture all known genetic variation in a dataset. It can either be run entirely locally in the browser, from a serverbased backend, or as a desktop application. We describe insights that analysing a tree of five million sequences can provide into SARS-CoV-2 evolution, and provide a tool at cov2tree.org for exploring a public tree of more than five million SARS-CoV-2 sequences. Taxonium can be applied to any tree, and is available at taxonium.org, with source code at github.com/theosanderson/taxonium.

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Section: Resultsmentioning

confidence: 99%

Taxonium, a web-based tool for exploring large phylogenetic trees

Sanderson

2022

eLife

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“…STtools also generates additional visualization of spatial transcriptomics data such as the distribution of UMIs across spatial coordinates ( Fig S4A ) or violin plots of gene counts, UMI counts, or fraction of mitochondrial genes ( Fig S4B – D ) by seamless connection to other single-cell or spatial transcriptomics softwares such as STARsolo ( Kaminow et al ., 2021 ), Seurat ( Hao et al ., 2021 ), and seqtk ( Li, 2021 ). The digital expression matrix generated by STtools follows the widely used format from 10X Genomics can be directly read from other software tools such as Seurat ( Hao et al ., 2021 ) or squidpy ( Palla et al ., 2022 ).…”

Section: Resultsmentioning

confidence: 99%

STtools: a comprehensive software pipeline for ultra-high-resolution spatial transcriptomics data

Lee

Kang

et al. 2022

Bioinformatics Advances

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Motivation While there are many software pipelines for analyzing spatial transcriptomics data, few can process ultra high-resolution datasets generated by emerging technologies. There is a clear need for new software tools that can handle sub-micrometer resolution spatial transcriptomics data with computational scalability without compromising its resolution. Results We developed STtools, a software pipeline that provides a versatile framework to handle spatial transcriptomics datasets with various resolutions, such as the ones produced by Seq-Scope (<1μm), Slide-seq (10μm) and VISIUM (100μm). It automatically processes raw FASTQ files and runs downstream analyses at several folds higher resolution than existing methods. It also generates various visualizations including transcriptome density, cell type mapping, marker gene highlighting, and subcellular architectures. Availability STtools is publically available for download at https://github.com/seqscope/STtools Supplementary information Supplementary data are available at Bioinformatics Advances online.

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“…The H.264 format assumes that both the differences between the pixel values and the differences between the frame values are small [20]. In accordance with this assumption, the H.264 quantization tables were built.…”

Section: Adapted Quantization Tables For a Small Number Of Colorsmentioning

confidence: 99%

Video Compression Prototype for Autonomous Vehicles

Wiseman

2024

Smart Cities

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There are several standards for representing and compressing video information. These standards are adapted to the vision of the human eye. Autonomous cars see and perceive objects in a different way than humans and, therefore, the common standards are not suitable for them. In this paper, we will present a way of adjusting the common standards to be appropriate for the vision of autonomous cars. The focus of this paper will be on the H.264 format, but a similar order can be adapted to other standards as well.

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Modern Video Coding Standards: H.264, H.265, and H.266

Cited by 8 publications

References 25 publications

Taxonium, a web-based tool for exploring large phylogenetic trees

Taxonium, a web-based tool for exploring large phylogenetic trees

STtools: a comprehensive software pipeline for ultra-high-resolution spatial transcriptomics data

Video Compression Prototype for Autonomous Vehicles

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