for: 提高Surveillance video transmission efficiency and quality
methods: 使用终端云计算、压缩视频、重复帧除法、键帧支持视频超分辨模型
results: 可以效果地减少数据量，并与现有视频超分辨模型相比，有较高的PSNR和SSIM表现Abstract
The enormous data volume of video poses a significant burden on the network. Particularly, transferring high-definition surveillance videos to the cloud consumes a significant amount of spectrum resources. To address these issues, we propose a surveillance video transmission system enabled by end-cloud computing. Specifically, the cameras actively down-sample the original video and then a redundant frame elimination module is employed to further reduce the data volume of surveillance videos. Then we develop a key-frame assisted video super-resolution model to reconstruct the high-quality video at the cloud side. Moreover, we propose a strategy of extracting key frames from source videos for better reconstruction performance by utilizing the peak signal-to-noise ratio (PSNR) of adjacent frames to measure the propagation distance of key frame information. Simulation results show that the developed system can effectively reduce the data volume by the end-cloud collaboration and outperforms existing video super-resolution models significantly in terms of PSNR and structural similarity index (SSIM).
摘要
“巨量数据的视频带来了网络的巨大压力。特别是将高清护视频传输到云存储所消耗的频谱资源非常大。为解决这些问题，我们提议一种基于终端云计算的视频传输系统。具体来说，摄像头会活动下amples the original video，然后使用重复帧除Module further reduce the amount of data volume of surveillance videos。然后，我们开发了一种基于关键帧的视频超Resolution模型，在云端进行高质量视频重建。此外，我们提出了利用相邻帧PSNR来度量关键帧信息的传播距离的策略。实验结果表明，我们开发的系统可以通过终端云合作Effectively reduce the amount of data and outperform existing video super-resolution models in terms of PSNR and structural similarity index (SSIM).”
A human brain atlas of chi-separation for normative iron and myelin distributions
paper_authors: Kyeongseon Min, Beomseok Sohn, Woo Jung Kim, Chae Jung Park, Soohwa Song, Dong Hoon Shin, Kyung Won Chang, Na-Young Shin, Minjun Kim, Hyeong-Geol Shin, Phil Hyu Lee, Jongho Lee
results: 研究得到了详细的 anatomical structures 相关 paramagnetic iron 和 diamagnetic myelin 的分布，清晰地呈现出脑部分的各个核心和白 matter 纤维 bundle。 此外，研究还发现了一些Region of interest 的 susceptibility values 随着年龄的变化。这个 atlas 可能有直接应用，例如在深 brain stimulation 或高Intensity focused ultrasound 中用于定位脑部分，并且可以作为未来研究的 valuable resource。Abstract
Iron and myelin are primary susceptibility sources in the human brain. These substances are essential for healthy brain, and their abnormalities are often related to various neurological disorders. Recently, an advanced susceptibility mapping technique, which is referred to as chi-separation, has been proposed successfully disentangling paramagnetic iron from diamagnetic myelin, opening a new potential for generating iron map and myelin map in the brain. Utilizing this technique, this study constructs a normative chi-separation atlas from 106 healthy human brains. The resulting atlas provides detailed anatomical structures associated with the distributions of iron and myelin, clearly delineating subcortical nuclei and white matter fiber bundles. Additionally, susceptibility values in a number of regions of interest are reported along with age-dependent changes. This atlas may have direct applications such as localization of subcortical structures for deep brain stimulation or high-intensity focused ultrasound and also serve as a valuable resource for future research.
摘要
铁和脑膜是人脑中主要的抵抗源。这些物质是健康脑的关键组成部分，其异常会与多种神经系统疾病相关。最近，一种高级别的抵抗映射技术，即chi-separation，已经成功地分离了 paramagnetic 铁和 diamagnetic 脑膜，打开了一个新的可能性，即生成铁图和脑膜图在脑中。利用这种技术，本研究建立了106名健康人脑中的 normative chi-separation Atlason。结果提供了详细的 анатомиче结构，与铁和脑膜分布相关，清晰地分割了脑下核和白 matter 纤维带。此外，在一些关注区域中，抵抗值也被报告，以及与年龄相关的变化。这个 Atlason 可能有直接应用，如深入脑刺激或高 интенсиTY focused ultrasound 的localization，也可以作为未来研究的 valuable 资源。
paper_authors: Eberechi Wogu, Patrick Filima, Bradley Caron, Daniel Levitas, Peer Herholz, Catherine Leal, Mohammed F. Mehboob, Soichi Hayashi, Simisola Akintoye, George Ogoh, Tawe Godwin, Damian Eke, Franco Pestilli
for: The paper is written for the purpose of describing a magnetic resonance imaging (MRI) dataset from individuals in Nigeria, with the goal of contributing to the global neuroscience community and providing a benchmark for future studies.
methods: The paper uses pseudonymized structural MRI (T1w, T2w, FLAIR) data of clinical quality, containing data from 36 healthy control subjects, 32 individuals with age-related dementia, and 20 individuals with Parkinson’s disease.
results: The paper presents a dataset of MRI data from individuals in Nigeria, which is currently underrepresented in the global neuroscience community. The dataset provides an opportunity and benchmark for future studies to share data from the African continent.Abstract
We describe a Magnetic Resonance Imaging (MRI) dataset from individuals from the African nation of Nigeria. The dataset contains pseudonymized structural MRI (T1w, T2w, FLAIR) data of clinical quality. The dataset contains data from 36 images from healthy control subjects, 32 images from individuals diagnosed with age-related dementia and 20 from individuals with Parkinson's disease. There is currently a paucity of data from the African continent. Given the potential for Africa to contribute to the global neuroscience community, this first MRI dataset represents both an opportunity and benchmark for future studies to share data from the African continent.
摘要
我们描述了一个来自非洲国家奈及利亚的磁共振成像（MRI）数据集。该数据集包含匿名化的结构MRI（T1w、T2w、FLAIR）数据，质量很高。数据集包含36张健康控制群体的图像，32张年龄相关失忆症患者的图像和20张parkinson病患者的图像。目前非洲 continent上没有很多数据，这个首个MRI数据集标志着非洲大陆对全球神经科学社区的贡献的可能性和标准。