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

15,153 篇 会议
233 篇 期刊文献
229 册 图书
3 篇 学位论文

馆藏范围

15,618 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

8,092 篇 工学
- 5,417 篇 计算机科学与技术...
- 2,792 篇 软件工程
- 2,445 篇 电气工程
- 1,573 篇 信息与通信工程
- 1,006 篇 控制科学与工程
- 833 篇 光学工程
- 572 篇 电子科学与技术（可...
- 552 篇 生物医学工程（可授...
- 549 篇 机械工程
- 507 篇 仪器科学与技术
- 414 篇 生物工程
- 285 篇 测绘科学与技术
- 204 篇 航空宇航科学与技...
- 189 篇 交通运输工程
- 180 篇 材料科学与工程（可...
- 145 篇 安全科学与工程
- 119 篇 化学工程与技术
4,111 篇 理学
- 2,774 篇 物理学
- 1,130 篇 数学
- 467 篇 生物学
- 325 篇 系统科学
- 271 篇 统计学（可授理学、...
- 146 篇 化学
1,618 篇 医学
- 1,440 篇 临床医学
- 215 篇 特种医学
- 201 篇 基础医学(可授医学...
- 134 篇 药学(可授医学、理...
858 篇 管理学
- 515 篇 管理科学与工程(可...
- 378 篇 图书情报与档案管...
- 130 篇 工商管理
77 篇 法学
68 篇 农学
42 篇 经济学
40 篇 教育学
27 篇 文学
25 篇 军事学
20 篇 艺术学
1 篇 哲学

主题

2,703 篇 image processing
1,407 篇 image segmentati...
1,150 篇 signal processin...
805 篇 real-time system...
750 篇 feature extracti...
748 篇 cameras
552 篇 image edge detec...
540 篇 signal processin...
478 篇 image reconstruc...
470 篇 image coding
447 篇 algorithm design...
377 篇 deep learning
370 篇 object detection
345 篇 hardware
344 篇 computer vision
339 篇 accuracy
337 篇 image color anal...
335 篇 real time system...
333 篇 clustering algor...
317 篇 computer archite...

机构

22 篇 signal and image...
19 篇 samara national ...
17 篇 school of electr...
12 篇 information syst...
11 篇 samara national ...
11 篇 univ texas san a...
11 篇 department of el...
11 篇 school of electr...
10 篇 department of el...
10 篇 electrical compu...
9 篇 school of electr...
9 篇 institute of ima...
9 篇 tongji universit...
9 篇 purdue univ sch ...
9 篇 university of ch...
9 篇 center for signa...
8 篇 shanghai jiao to...
8 篇 information syst...
8 篇 university of to...
8 篇 image processing...

作者

22 篇 anon
13 篇 de-shuang huang
12 篇 jagdish chand ba...
11 篇 jie yang
11 篇 p. pirsch
10 篇 hannig frank
10 篇 panetta karen
10 篇 c.-c.j. kuo
10 篇 j.m. mendel
10 篇 plaza antonio
10 篇 r. chellappa
9 篇 semenishchev e.
9 篇 zelensky a.
9 篇 bovik alan c.
9 篇 wei li
8 篇 frank hannig
8 篇 yves wiaux
8 篇 a.s. willsky
8 篇 mahalanobis a
8 篇 ilias maglogiann...

语言

14,979 篇 英文
539 篇 其他
90 篇 中文
26 篇 土耳其文
4 篇 俄文
3 篇 葡萄牙文
2 篇 法文
1 篇 西班牙文

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

共 15618 条记录，以下是4231-4240 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：

Utilization of complex techniques for the extraction of human body parameters from uncalibrated image 19

Utilization of complex techniques for the extraction of huma...

引用

4th International conference on Multimedia systems and Signal processing, ICMSSP 2019

作者： Kainz, Ondrej Hudáček, Jozef Michalko, Miroslav Cymbalák, Dávid Jakab, František Petija, Rastislav DCI FEEI Technical university of Košice Letná 9 Košice Slovakia USP TECHNICOM Technical university of Košice Nemcovej 5 Košice Slovakia

ISBN: (纸本)9781450371711

The principal goal of this paper is to propose a technique that will allow extraction of human body parameters from uncalibrated image, having some known reference height. Analysis focuses on the algorithms for detection of objects from the image. The designed approaches were experimentally tested in a form of a software solution that utilizes vanishing line height extraction approach. The system allows to measure all human body skeleton model parameters from the image with known height of reference object. System utilizes recently proposed Human Body Description Format (HBDF) to store the measured results. © 2019 Association for Computing Machinery.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I.

NeuroKube: An Automated and Autoscaling Neuroimaging Reconst...

引用

IEEE International conference on Big Data

作者： Matthew Madany Kyle Marcus Steven Peltier Mark H. Ellisman Ilkay Altintas University of California San Diego La Jolla CA USA

ISBN: (数字)9781728162515

ISBN: (纸本)9781728162522

The Neuroscience domain stands out from the field of sciences for its dependence on the study and characterization of complex, intertwining structures. Understanding the complexity of the brain has led to widespread advances in the structure of large-scale computing resources and the design of artificially intelligent analysis systems. However, the scale of problems and data generated continues to grow and outpace the standards and practices of neuroscience. In this paper, we present an automated neuroscience reconstruction framework, called NeuroKube, for large-scale processing and labeling of neuroimage volumes. Automated labels are generated through a machine-learning (ML) workflow, with data-intensive steps feeding through multiple GPU stages and distributed data locations leveraging autoscalable cloud-native deployments on a multi-institution Kubernetes system. Leading-edge hardware and storage empower multiple stages of machine-learning, GPU-accelerated solutions. This demonstrates an abstract approach to allocating the resources and algorithms needed to elucidate the highly complex structures of the brain. We summarize an integrated gateway architecture, and a scalable workflow-driven segmentation and reconstruction environment that brings together image big data with state-of-the-art, extensible machine learning methods.

关键词： Neuroimaging Neuroscience Machine learning algorithms Machine learning Big Data image reconstruction Standards

来源：评论

学校读者我要写书评

暂无评论

Driver Cell Phone Usage violation Detection using License Plate Recognition Camera images 5

Driver Cell Phone Usage Violation Detection using License Pl...

引用

5th International conference on Vehicle Technology and Intelligent Transport systems (VEHITS)

作者： Alkan, Bensu Balci, Burak Elihos, Alperen Artan, Yusuf Havelsan Inc Video Anal Grp Ankara Turkey

ISBN: (纸本)9789897583742

The increased use of digital video and image processing technology has paved the way for extending the traffic enforcement applications to a wider range of violations as well as making the enforcement process more efficient. Automated traffic enforcement has mainly been applied towards speed and red light violations detection. In recent years, there has been an extension to other violation detection tasks such as seat-belt usage, tailgating and toll payment violations. In the recent years, automated driver cell phone usage violation detection methods have aroused considerable interest since it results in higher mortality rates than the intoxicated driving. In this study, we propose a novel automated technique towards driver's phone usage violation detection using deep learning algorithms. Using an existing license plate recognition camera system placed on an overhead gantry, installed on a highway, real world images are captured during day and night time. We performed experiments using more than 5900 real world images and achieved an overall accuracy of 90.8 % in the driver cell phone usage violation detection task.

关键词： Cell Phone Usage Detection Convolutional Neural Network (CNN) Deep Learning Object Detection Traffic Enforcement Intelligent Transportation systems (ITS)

来源：评论

学校读者我要写书评

暂无评论

Genetic K-Means clustering algorithm for achieving security in medical image processing over cloud 1

引用

International conference on Advanced Intelligent systems for Sustainable Development, AI2SD 2018

作者： Marwan, Mbarek Kartit, Ali Ouahmane, Hassan LTI Laboratory ENSA Chouaïb Doukkali University Avenue Jabran Khalil Jabran BP 299 El Jadida Morocco

ISBN: (数字)9783030118846

ISBN: (纸本)9783030118839

In healthcare domain, there is persistent pressure to improve clinical outcomes while lowering costs. In this respect, healthcare organizations can leverage cloud computing resources to avoid building an expensive in-house data center. More specifically, this new trend offers the opportunity to rent the use of imaging tools in order to process medical records. Additionally, cloud billing is based on a pay-per-use model to achieve cost savings. However, security and privacy concerns are the main disadvantages of cloud-based applications, especially when it comes to managing patients’ data. The commonly used techniques for protecting data are homomorphic algorithms, Service-Oriented Architecture (SOA) and Secret Share Scheme (SSS). These traditional approaches have some limitations that provide a boundary to its use in practice. Precisely, the implementation of these security measures in cloud environment does not have the ability to maintain a good balance between security and efficiency. From this perspective, we propose a hybrid method combining a genetic algorithm (GA) and K-Means clustering technique to meet privacy and performance requirements. This approach relies on distributed data processing (DDP) to process health records over multiple systems. Consequently, the proposal is designed to help protect clients’ data against accidental disclosure as well as accelerating the computations. © Springer Nature Switzerland AG 2019.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

A Bucket LBVH Construction and Traversal Algorithm for Volumetric Sparse Data

A Bucket LBVH Construction and Traversal Algorithm for Volum...

引用

Brazilian Symposium on Computer Graphics and image processing (SIBGRAPI)

作者： I.B. Fernandes M. Walter Institute of Informatics - PPGC Universidade Federal do Rio Grande do Sul - Brasil

ISBN: (数字)9781728192741

ISBN: (纸本)9781728192758

Many volumetric rendering algorithms use spatial 3D grids as the underlying data structure. Efficient representation, construction, and traversal of these grids are essential to achieve real-time performance, particularly for time-varying data such as in fluid simulations. In this paper, we present improvements on algorithms for building and traversing Bounding Volume Hierarchies (BVH) designed for sparse volumes. Our main insight was to simplify data layout representation by grouping voxels in buckets, preserving their spatiality using Morton codes, instead of using bricks, as current solutions use. Our solution does not use pointers nor stacks, allowing for its usage directly on computing shaders and provides, on average, 9.3x improvement in construction speed, compared with state-of-the-art approaches for Linear Bounding Volume Hierarchies (LBVH).

关键词： Three-dimensional displays Rendering (computer graphics) Graphics processing units Real-time systems Kernel Indexes Computed tomography

来源：评论

学校读者我要写书评

暂无评论

A Novel Borehole video Expansion and Mosaic Algorithm for Un-Aligned Hole and Camera Centers 5

A Novel Borehole Video Expansion and Mosaic Algorithm for Un...

引用

5th International conference on Fuzzy systems and Data Mining (FSDM)

作者： Xie, Hongmei Qiu, He Yang, Xiaobo Northwestern Polytech Univ Sch Elect & Informat Xian Peoples R China

ISBN: (纸本)9781643680194;9781643680187

Traditionally, the video panorama expansion algorithms were basically based on the assumption of the alignment of hole center and camera center. In real applications, due to hardware limitations, the borehole video image in the actual resource survey and acquisition project was obtained under the condition that the center of the borehole and the camera were not aligned. To solve the difficult task of obtaining panoramic images from borehole imagers and eliminate distortion in the resultant image for centers unaligned situation, this paper proposes a new borehole video image processing algorithm. Firstly, the image was expanded by using the ideal model (the aligned situation data), finding the corresponding circular region, and proper interpolating manipulation. The expanded image contains the cylinder hole wall information within certain depth scope but has some kind of distortion. Then by using least square fitting method and adopting the initial phase optimization estimation method, we obtained the high-order polynomial fitting depth direction correction curve. And the expanded images are corrected frame by frame. Lastly, the displacement of the horizontal direction is searched by the template region matching method, and the panoramic image of the borehole wall is obtained by pixel-level data fusion. The experimental results are evaluated. The peak signal-to-noise ratio of the algorithm is 21.0907 and the structural similarity is 0.7976 in terms of objective metric. While subjectively the average of the proposed algorithm is 3.6. Both objective and subjective measure are better than the existing algorithm. The resultant images are more intuitive than the original video.

关键词： Forward-looking Borehole Imaging System image expansion and fusion Ideal and non-ideal cases depth correction function estimation LS-based curve fitting initial phase optimization

来源：评论

学校读者我要写书评

暂无评论

An Approach Towards image Encryption and Decryption using Quaternary Fractional-Linear Operations 10

An Approach Towards Image Encryption and Decryption using Qu...

引用

10th International conference on Emerging Ubiquitous systems and Pervasive Networks (EUSPN) / 9th International conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH)

作者： Kovalchuk, Anatoliy Izonin, Ivan Gregushml, Mihal Lotoshynska, Natalia Lviv Polytech Natl Univ Dept Publishing Informat Technol S Bandera 12 UA-79013 Lvov Ukraine Comenius Univ Fac Management Odbojarov 10 Bratislava Slovakia

The problem of unauthorized access to various content is an important task for the present. It becomes even more acute when using the existing toolkit for the processing and transmission of encrypted images with the fluctuation intensity function. The authors developed a modification of the RSA algorithm to use it in relation to the above -mentioned images. It is proposed a conceptual view for the joint use of quaternary fractional -linear transformations with elements of the basic RSA algorithm. The application of this mathematical apparatus in the basic RSA algorithm avoids contours of image objects in an encrypted sample. In addition, this combination provides additional stability to the basic RSA algorithm for unauthorized decryption. The simulation of the method was carried out in two described by the authors algorithms: using one line and four lines of the image matrix, for grayscale and color images. The high efficiency of the developed method for avoiding contours of objects on encrypted images has been confirmed. In both cases, contours after applying encryption procedures do not appear. The reverse procedure allows to get an image without visible distortion. 2019 The Authors. Published by Elsevier B.V.

关键词： RSA modiffication encryption decryption image contour stability quaternary fractional -linear form

来源：评论

学校读者我要写书评

暂无评论

A crowd-based image learning framework using edge computing for smart city applications 5

A crowd-based image learning framework using edge computing ...

引用

5th IEEE International conference on Multimedia Big Data, BigMM 2019

作者： Constantinou, Giorgos Sankar Ramachandran, Gowri Alfarrarjeh, Abdullah Kim, Seon Ho Krishnamachari, Bhaskar Shahabi, Cyrus IMSC University of Southern California Los AngelesCA90089 United States CCI University of Southern California Los AngelesCA90089 United States

ISBN: (纸本)9781728155272

Smart city applications covering a wide area such as traffic monitoring and pothole detection are gradually adopting more image machine learning algorithms utilizing ubiquitous camera sensors. To support such applications, an edge computing paradigm focuses on processing large amount of multimedia data at the edge to offload processing cost and reduce long-distance traffic and latency. However, existing edge computing approaches rely on pre-trained static models and are limited in supporting diverse classes of edge devices as well as learning models to support them. This research proposes a novel crowd-based learning framework which allows edge devices with diverse resource capabilities to perform machine learning towards the realization of image-based smart city applications. The intelligent retraining algorithm allows sharing key visual features to achieve a higher accuracy based on the temporal and geospatial uniqueness. Our evaluation shows the trade-off between accuracy and the resource constraints of the edge devices, while the model re-sizing option enables running machine learning models on edge devices with high flexibility. © 2019 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Metadata Extraction Using DeepLab V3 and Probabilistic Latent Semantic Analysis for Intelligent visual Surveillance systems

Metadata Extraction Using DeepLab V3 and Probabilistic Laten...

引用

IEEE International conference on Consumer Electronics (ICCE)

作者： Heungmin Oh Minjung Lee Hyungtae Kim Joonki Paik Image Processing and Intelligent System Laboratory Chung-Ang University Seoul Korea

ISBN: (数字)9781728151861

ISBN: (纸本)9781728151878

Recently, surveillance cameras are ubiquitous for both real-time monitoring and recording important moments. Temporarily seamless surveillance using multiple cameras requires increasing amount of human efforts and enormous size of storage. The use of dynamic cameras further requires advanced computer vision algorithms, and is another challenge for intelligent visual surveillance. To solve those problems, we present an enhanced metadata extraction method for robust object search and a person re-identification. More specifically, the proposed method accurately extracts an object region using a modified DeepLab version 3, and then extracts metadata including representative color, size, aspect ratio, and moving trajectory of the object. The proposed metadata extraction method can be applied to a wide range of surveillance systems such as search for missing children in a large public space and crowd monitoring system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle

InsClustering: Instantly Clustering LiDAR Range Measures for...

引用

International conference on Intelligent Transportation

作者： You Li Clément Le Bihan Txomin Pourtau Thomas Ristorcelli S.A.S 1 Avenue du Golf Guyancourt France Magellium S.A.S Parc technologique du Canal 24 rue Herms Ramonville Saint-Agne Cedex France

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

LiDARs are usually more accurate than cameras in distance measuring. Hence, there is strong interest to apply LiDARs in autonomous driving. Different existing approaches process the rich 3D point clouds for object detection, tracking and recognition. These methods generally require two initial steps: (1) filter points on the ground plane and (2) cluster non-ground points into objects. This paper proposes a field-tested fast 3D point cloud segmentation method for these two steps. Our specially designed algorithms allow instantly process raw LiDAR data packets, which significantly reduce the processing delay. In our tests on Velodyne UltraPuck, a 32 layers spinning LiDAR, the processing delay of clustering all the 360° LiDAR measures is less than 1ms. Meanwhile, a coarse-to-fine scheme is applied to ensure the clustering quality. Our field experiments in public roads have shown that the proposed method significantly improves the speed of 3D point cloud clustering whilst maintains good accuracy.

关键词： Laser radar Three-dimensional displays image segmentation Clustering algorithms Laser beams Two dimensional displays Spinning

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 << < 420 421 422 423 424 425 426 427 428 429 > >>

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：