检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

13,266 篇 会议
209 篇 期刊文献
183 册 图书
3 篇 学位论文
1 篇 资讯

馆藏范围

13,662 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,045 篇 工学
- 4,663 篇 计算机科学与技术...
- 2,299 篇 软件工程
- 2,127 篇 电气工程
- 1,341 篇 信息与通信工程
- 867 篇 控制科学与工程
- 697 篇 光学工程
- 499 篇 生物医学工程（可授...
- 476 篇 电子科学与技术（可...
- 469 篇 机械工程
- 459 篇 仪器科学与技术
- 331 篇 生物工程
- 241 篇 测绘科学与技术
- 168 篇 材料科学与工程（可...
- 160 篇 航空宇航科学与技...
- 147 篇 交通运输工程
- 107 篇 安全科学与工程
- 92 篇 化学工程与技术
3,499 篇 理学
- 2,413 篇 物理学
- 937 篇 数学
- 388 篇 生物学
- 249 篇 系统科学
- 237 篇 统计学（可授理学、...
- 122 篇 化学
1,507 篇 医学
- 1,336 篇 临床医学
- 211 篇 特种医学
- 170 篇 基础医学(可授医学...
- 111 篇 药学(可授医学、理...
723 篇 管理学
- 436 篇 管理科学与工程(可...
- 311 篇 图书情报与档案管...
- 89 篇 工商管理
61 篇 法学
59 篇 农学
31 篇 教育学
29 篇 经济学
28 篇 文学
20 篇 军事学
17 篇 艺术学
1 篇 哲学

主题

2,765 篇 image processing
1,435 篇 image segmentati...
1,171 篇 signal processin...
626 篇 feature extracti...
624 篇 cameras
587 篇 image edge detec...
564 篇 signal processin...
492 篇 image coding
486 篇 image reconstruc...
480 篇 real-time system...
395 篇 algorithm design...
346 篇 image color anal...
317 篇 deep learning
314 篇 image enhancemen...
313 篇 image analysis
309 篇 pixel
306 篇 real time system...
304 篇 computer archite...
298 篇 object detection
291 篇 hardware

机构

23 篇 signal and image...
20 篇 samara national ...
14 篇 school of electr...
11 篇 samara national ...
11 篇 purdue univ sch ...
11 篇 univ texas san a...
11 篇 department of el...
11 篇 school of electr...
10 篇 center for signa...
9 篇 information syst...
9 篇 institute of ima...
9 篇 university of to...
9 篇 tongji universit...
9 篇 samara national ...
8 篇 university of ch...
8 篇 electrical compu...
8 篇 image processing...
8 篇 information syst...
7 篇 school of electr...
7 篇 department of ma...

作者

19 篇 anon
13 篇 de-shuang huang
13 篇 jagdish chand ba...
11 篇 p. pirsch
10 篇 jie yang
10 篇 panetta karen
10 篇 j.m. mendel
10 篇 r. chellappa
9 篇 c.-c.j. kuo
9 篇 a. ortega
8 篇 frank hannig
8 篇 hannig frank
8 篇 ilias maglogiann...
7 篇 miller jwv
7 篇 busch christoph
7 篇 semenishchev e.
7 篇 zelensky a.
7 篇 bovik alan c.
7 篇 jerry m. mendel
7 篇 kupriyanov a.v.

语言

13,113 篇 英文
459 篇 其他
87 篇 中文
20 篇 土耳其文
3 篇 葡萄牙文
2 篇 西班牙文
2 篇 俄文
1 篇 法文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems IV"

共 13662 条记录，以下是1181-1190 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Simplification and Compression Method Based on Classified Sparse Sampling for LiDAR Point Cloud 23

Simplification and Compression Method Based on Classified Sp...

引用

23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Chen, Jian Lin, YuFang Chen, YuanXiang Zheng, MingKui Zhu, YuYao School of Advanced Manufacturing Fuzhou University Quanzhou China College of Physics and Information Engineering Fuzhou University Fuzhou China Beijing Ctr. Fujian Br. Patent Examin. Cooperation Center of the State Intellectual Property Office Fuzhou China Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou China

ISBN: (纸本)9781665494571

As a key component of point cloud acquisition technology, LiDAR (Light Detection and Ranging) acts as an eye in autonomous driving. The vehicle-mounted LiDAR point cloud system is the prerequisite foundation for the vehicle to be able to perform environmental perception, path planning, navigation, and other behaviors. In practical applications, LiDAR point clouds have a wide distribution range and a large amount of data, which poses major challenges to existing transmission and storage technologies. Aiming at the point cloud from automotive LiDAR in autonomous driving, we propose a point cloud lossy compression framework based on range image index and classified sparse sampling. This paper takes the original data packet as the compression target and converts it into a 2D range image and a 3D point cloud based on its data characteristics. On this basis, we can segment 3D point clouds into ground point and non-ground point cloud by applying progressive morphological filters. Then, we perform de-redundant sparse processing at different intensities on the two. A sparse 2D range image is generated by referring to the range image index of the downsampling 3D point cloud and is represented as a more compact form of one-dimensional range vector combined with its corresponding occupancy image and Morton sorting. Finally, the image coding method is used to further compress the point cloud. Experimental results show that our proposed method is better than the existing algorithms, thereby effectively reducing the spatial redundancy of the point cloud and achieving higher reconstruction quality. © 2021 IEEE.

关键词： Point cloud compression image coding Laser radar Three-dimensional displays Smart cities Redundancy Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Real-Time Scratched image Restoration Using Neural Networks

Real-Time Scratched Image Restoration Using Neural Networks

引用

Advanced Computing & Communication Technologies (ICACCTech), International conference on

作者： Harsh Sharma Rajeshwari Pradhan Harsh Mogha Shivpratap Singh Rupesh Kumar Computer Science and Engineering Chandigarh University Punjab India

ISBN: (数字)9798331519056

ISBN: (纸本)9798331519063

Real-time image restoration is a cutting-edge tech-nology that accelerates or rebuilds images as soon as they are captured, processed, or released to correct issues such as noise, blur, and compression. This field is of great importance in applications such as medical imaging, surveillance, autonomous vehicles. and live video streaming where sharpness and image quality are fundamental The main challenge lies in developing algorithms that can quickly and efficiently restore image quality. It balances the need for high-speed processing with the need for precision and adaptability to different conditions. Advanced techniques Including deep learning and convolutional neural networks (CNN) are often used to achieve these goals. Moreover, it is essential to optimize these algorithms for real-time pro-cessing. Real-time performance in constrained hardware such as mobile devices or embedded systems As real-time image recovery technology continues to develop, It thus promises to significantly improve the quality of image data in a variety of domains. They provide sharper, more reliable images for critical applications.

关键词： Performance evaluation image quality Deep learning Surveillance Noise Noise reduction Streaming media Real-time systems image restoration Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Kid Activity Recognition: A Comprehensive study of kid activity recognition with monitoring activity level using YOLOv8s algorithms 3

Kid Activity Recognition: A Comprehensive study of kid activ...

引用

3rd International conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Bisla, Tiya Shukla, Ritik Dhawan, Mansi Islam, Md. Rahatul Koyasu, Takao Teramoto, Keisuke Kataoka, Yui Horio, Keiichi Dronacharya Group of Institution Dept. of Computer Science & Engineering Greater Noida India Kyushu Institute of Technology Graduate School of Life Science and Systems Engineering Fukuoka Japan Kyushu Women's Junior College Fukuoka Japan Aichi University of Education Aichi Japan Fukuoka Kodomo Junior College Fukuoka Japan

ISBN: (纸本)9798350372120

Recognizing human activities and behavior is a cutting-edge field of research because of the complexity and limited availability of data. Our research involves the use of the trending YOLOv8s deep learning algorithm for the classification of active states (sitting, standing, running, laying, and jumping). The research focuses on the detection of a child's activities in the kindergarten playroom. To train the model, we created the KAR (Kids Action Recognition) dataset using our own sources. We labeled over 6,489 images in the dataset using ***. Each image is annotated with activity labels and the location of the student (in a room or on a mat). This assisted in presenting insights on the student's vitality level and physical involvement over a period of approximately an hour. We analyzed the whole activity and compared it with the times. Standing in the room and mat, standing in the room, and jumping in the room and mat are most of the activities of the kid. The model achieved an impressive overall accuracy of 88.7 %. We conducted all the training in a Google collaborative environment with A-100 GPU specifications. The results demonstrate that the model can identify and classify each activity with high precision. © 2024 IEEE.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Anti-Occlusion Scale-Adaptive Correlation Tracking

Anti-Occlusion Scale-Adaptive Correlation Tracking

引用

image processing, Computer Vision and Machine Learning (ICICML), International conference on

作者： Zhuanyang Chen Linjie Yang Yuan Zhang Luping Wang School of Electronics and Communication Engineering Sun Yat-sen University Shenzhen China

ISBN: (数字)9798350355413

ISBN: (纸本)9798350355420

Target tracking at high-speed conditions is highly desirable for embedded systems, such as visual navigation. However, existing methods face challenges in achieving real-time processing due to algorithm complexity and computational limitations. To address this issue, we propose an anti-occlusion scale-adaptive correlation tracker (OSCT) based on a Kernelized Correlation Filter (KCF), which considers tracking confidence and multiple features in embedded systems. Specifically, we employ a discriminative correlation filter to estimate the scale of the tracking target. Subsequently, our tracker dynamically adjusts the learning rate by evaluating the confidence of tracking results. Moreover, the OSCT uses a re-detector to re-detect the target in case of tracking failure. Instead of relying on a single feature, our method integrates multiple features to address variation and occlusion in tracking objects. Experimental results demonstrate that: 1) OSCT achieves an average precision of 0.778 at 20 pixels, representing an improvement of over 8% compared to other high-speed trackers. 2) The average running speed of OSCT is 32 FPS, outperforming LCT (26 FPS). Therefore, our approach is well-suited for long-term tracking on embedded platforms.

关键词： Visualization Target tracking Correlation Embedded systems Navigation image processing Machine learning Filtering algorithms Robustness Real-time systems

来源：评论

学校读者我要写书评

暂无评论

A Comparison of Quality Assessment Metrics on image Resolution Enhancement Artifacts

A Comparison of Quality Assessment Metrics on Image Resoluti...

引用

2022 International conference on Culture-Oriented Science and Technology, CoST 2022

作者： Zheng, Ruidi Jiang, Xiuhua Ma, Yan Wang, Lei Communication University of China Academy of Broadcasting Science NRTA Beijing China Communication University of China Beijing China Academy of Broadcasting Science NRTA Beijing China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

Enhancing videos or images on resolution, frame rate, dynamic range, color gamut, noise, or scratches removing have attracted the interest of experts. Efficient image quality assessment methods for these image enhancement algorithms should be available. Many image quality assessment metrics work well on the general image distortion assessment databases. However, they may not be able to distinguish artifacts caused by the image enhancement algorithms. In this paper, we study the reliability of state-of-the-art prominent full-reference and no-reference quality assessment metrics on image resolution enhancement artifacts. Firstly, we construct a 4K resolution database containing 1152 enhanced images with different superresolution distortion types and different distortion levels. Then, a subjective study with over 20000 human judgments is organized to reach reliable references from human visual perception. The performance comparison experiments on the proposed database show that IFC, FSIM, and DISTS are the top 3 perceptualconsistent metrics for image super-resolution artifacts assessment. © 2022 IEEE.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

A Statistical Approach for Improving image Quality and Cell Quantification from Imaging Mass Cytometry

A Statistical Approach for Improving Image Quality and Cell ...

引用

Communication, image and Signal processing (CCISP), International conference on

作者： Xu Xiao Yating Lin Lei Zhang Wenxian Yang Rongshan Yu School of Informatics Xiamen University Xiamen China Aginome Scientific Xiamen China

ISBN: (数字)9798350356656

ISBN: (纸本)9798350356663

Imaging Mass Cytometry (IMC), a multiplexed imaging technology, has become a valuable tool in biomedical research due to its capability to measure over 100 markers theoretically. However, the presence of noise in IMC images can affect cell phenotyping and the precision of clinical analysis. To address this challenge, we propose IMCell, a highly effective and generalizable method that enhances image quality and cell quantification by leveraging biological priors. IMCell begins by generating decoy cells using Monte Carlo sampling and incorporates cell shape information for each protein channel. Subsequently, it estimates background noise from the expression of decoy cells by fitting Gaussian mixture models with the EM algorithm. Additionally, it identifies positive cell expressions by comparing distribution patterns between real cells and decoy cells. Based on the analysis results from IMCell, we further introduce an image quality index for comprehensive image quality assessment by combining noise and positive cell expressions. Experiment results demonstrate the efficacy of our proposed approach in enhancing image quality and facilitating downstream analysis. By improving the quality of IMC images, IMCell holds the potential to enhance our understanding of complex biological systems and disease mechanisms.

关键词： image quality Proteins Multiplexing Protein engineering Monte Carlo methods Shape Noise Signal processing algorithms Clustering algorithms Background noise

来源：评论

学校读者我要写书评

暂无评论

A Review of Intrinsic image Decomposition

A Review of Intrinsic Image Decomposition

引用

image processing and Media Computing (ICIPMC), International conference on

作者： Siyuan Liu Xiaoyue Jiang Letian Liu Zhaoqiang Xia Sihang Dang Xiaoyi Feng School of Electronics and Information Northwestern Polytechnical University Xi’an China

ISBN: (数字)9798350386660

ISBN: (纸本)9798350386677

Intrinsic image decomposition (IID) aims to extract intrinsic components from natural images, namely shading and reflectance, which is widely applied in computer vision and image processing tasks for the better understanding of the objects and scenes. However, IID is a severely ill-posed problem, extra constraints should be applied to address the decomposition problem. In this paper, we reviewed recent papers about intrinsic image decomposition. The extra cues from lighting, shape, color and textures are used to constrain the ill-posed problem. These papers can be mainly classified into two categories: physics-based methods and learning-based methods. Physics-based methods mainly introduced extra constraints into an optimization framework to solve the IID problem. While learning-based methods mainly depend on an encoder-decoder network with the explicit constraint from the labeled intrinsic images. Additionally, extra priors are introduced into the network by the form of network structure or specific feature. In order to make the IID problem more practical, researchers may explore how to achieve fast and accurate image decomposition with lower computing resources through optimization algorithms and model design.

关键词： Learning systems Accuracy image color analysis Shape Computational modeling image decomposition Real-time systems

来源：评论

学校读者我要写书评

暂无评论

On Momentum Acceleration for Randomized Coordinate Descent in Matrix Completion

On Momentum Acceleration for Randomized Coordinate Descent i...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Matthew Callahan Trung Vu Raviv Raich School of EECS Oregon State University Corvallis OR USA Department of CSEE University of Maryland Baltimore County MD USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Matrix completion plays an important role in machine learning and signal processing, with applications ranging from recommender systems to image inpainting. Many approaches have been considered to solve the problem and some offer computationally efficient solutions. In particular, a highly-efficient random coordinate descent approach reduces the per-epoch computation dramatically. This paper is concerned with further improvement of computational efficiency to expand the range of problem sizes and conditions that can be solved. Momentum acceleration is a well-known method to improve the efficiency of iterative algorithms, but applying it to random coordinate descent methods without increasing the computational complexity is non-trivial. To address this challenge, we introduce a momentum-accelerated randomized coordinate descent for matrix completion approach that does not increase computational complexity by accelerating at the level of epochs. Additionally, we propose an analysis-driven, tuning-free method for step size selection. To that end, we offer a convergence rate analysis for the algorithm. Using numerical evaluations, we demonstrate the competitiveness of the method and verify the theoretical analysis.

关键词： Closed-form solutions Shape Signal processing algorithms Machine learning Signal processing Computational efficiency Computational complexity Speech processing Recommender systems Convergence

来源：评论

学校读者我要写书评

暂无评论

Optimization of a MIMO Antenna using the API metaheuristic algorithm

Optimization of a MIMO Antenna using the API metaheuristic a...

引用

International conference on image and Signal processing and their Applications (ISPA)

作者： Bitat Hiba Ines Maamri Fouzia Khelfaoui Fatima Djellab Hanane Messai Yacine Aouissi Feriel SATIT Laboratory University Abbes Laghrour Khenchela Khenchela Algeria University Alarbi TBESSI Tebessa Tebessa Algeria

ISBN: (数字)9798350309249

ISBN: (纸本)9798350309256

Antenna technology has undergone significant advancements with the integration of innovative techniques such as MIMO (Multiple Input Multiple Output) and phased array systems. By utilizing multiple antennas for transmission and reception, MIMO enhances data rates, spectral efficiency, and overall system performance. Phased array antennas, on the other hand, introduce beamforming capabilities, allowing for dynamic control and steering of radio wave beams without physical movement. The goal of this work is to optimize the control of the antenna network (MIMO) from the perspective of directivity and secondary lobe reduction using the API (pachycondyla apicalis algorithm) metaheuristic algorithm. Specifically, the API algorithm will be employed to determine the optimal element spacing for an N=16 element linear array operating at the LTE frequency of 2.5 GHz, and phase shift Ψ=2.3 radians with the objective of achieving the best value of the inter element spacing. while minimizing the secondary lobes.

关键词： Phased arrays Array signal processing Heuristic algorithms System performance Metaheuristics Signal processing algorithms Space exploration

来源：评论

学校读者我要写书评

暂无评论

Evaluation of NVIDIA Xavier NX Platform for Real-Time image processing for Fusion Diagnostics 28

Evaluation of NVIDIA Xavier NX Platform for Real-Time Image ...

引用

28th International conference on Mixed Design of Integrated Circuits and System (MIXDES)

作者： Jablonski, Bartlomiej Makowski, Dariusz Perek, Piotr Lodz Univ Technol Dept Microelect & Comp Sci Lodz Poland

ISBN: (纸本)9788363578190

Real-time image processing is the core component of image plasma diagnostics. Efficient algorithms enable machine protection, contributing to future steady-slate operation in nuclear fusion devices. The paper evaluates the applicability of the newest low-power NVIDIA Jetson Xavier NX platform for fusion diagnostics. This embedded NVIDIA Tegra System-on-a-Chip (SoC) integrates a Graphics processing Unit (GPU) and Central processing Unit (CPU) on a single chip. General-Purpose computing on Graphics processing Units (GPGPU) provides high parallelism that is advantageous in image-based calculations. The hardware differences in comparison to the previous NVIDIA Jetson TX2 based on Pascal architecture, including innovations introduced in the Volta architecture for NVIDIA Tegra, are signified. The evaluation is performed on the Wendelstein 7-X (W7-X) stellarator experimental data. Implemented algorithms detect and analyse thermal events in real-time utilising the embedded GPU. Investigated thermal events are strike-lines, overload hotspots, reflections and surface layers. Their detection allows the automated real-time risk evaluation incorporated in the feedback plasma control and interlock systems in the W7-X. The speedup resulting from the upgrade to the Xavier NX platform is presented in the paper, along with techniques pertaining to key hardware differences and programming aspects specific to the NVIDIA Tegra facilitating real-time computing on the low-power embedded device.

关键词： Graphics processing Unit General-Purpose Computing on Graphics processing Units image processing Plasma Diagnostics Fusion Diagnostics Embedded systems

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 115 116 117 118 119 120 121 122 123 124 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：