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

4,491 篇 会议
50 篇 期刊文献
18 册 图书
1 篇 学位论文

馆藏范围

4,560 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,604 篇 工学
- 1,693 篇 计算机科学与技术...
- 1,110 篇 信息与通信工程
- 986 篇 软件工程
- 700 篇 电气工程
- 279 篇 光学工程
- 126 篇 电子科学与技术（可...
- 119 篇 生物工程
- 116 篇 控制科学与工程
- 103 篇 仪器科学与技术
- 97 篇 网络空间安全
- 95 篇 生物医学工程（可授...
- 72 篇 机械工程
- 45 篇 化学工程与技术
- 31 篇 安全科学与工程
- 30 篇 动力工程及工程热...
- 26 篇 轻工技术与工程
1,245 篇 医学
- 1,236 篇 临床医学
- 35 篇 基础医学(可授医学...
- 29 篇 药学(可授医学、理...
1,040 篇 理学
- 746 篇 物理学
- 336 篇 数学
- 128 篇 生物学
- 103 篇 统计学（可授理学、...
- 48 篇 系统科学
- 47 篇 化学
187 篇 管理学
- 102 篇 管理科学与工程(可...
- 96 篇 图书情报与档案管...
- 32 篇 工商管理
77 篇 军事学
- 74 篇 军队指挥学
38 篇 法学
- 30 篇 社会学
10 篇 文学
8 篇 经济学
6 篇 农学
5 篇 教育学

主题

552 篇 image coding
468 篇 image processing
353 篇 visual communica...
313 篇 visualization
274 篇 image segmentati...
258 篇 feature extracti...
181 篇 image compressio...
168 篇 video coding
165 篇 image reconstruc...
157 篇 cameras
154 篇 humans
136 篇 image quality
133 篇 image retrieval
125 篇 training
123 篇 image color anal...
121 篇 image edge detec...
115 篇 image enhancemen...
114 篇 signal processin...
114 篇 image analysis
110 篇 motion estimatio...

机构

36 篇 shanghai jiao to...
29 篇 institute of ima...
28 篇 school of electr...
24 篇 school of electr...
21 篇 university of sc...
18 篇 shanghai jiao to...
17 篇 shanghai jiao to...
16 篇 tianjin univ sch...
16 篇 beijing universi...
14 篇 institute for in...
11 篇 school of comput...
11 篇 university of el...
11 篇 cas key laborato...
11 篇 tsinghua univ de...
10 篇 univ sci & techn...
10 篇 zhejiang univers...
10 篇 peking univ inst...
10 篇 institute of ima...
9 篇 microsoft resear...
9 篇 tsinghua univ de...

作者

34 篇 zhai guangtao
26 篇 sumei li
25 篇 song li
22 篇 li sumei
21 篇 guangtao zhai
19 篇 li song
18 篇 li li
17 篇 min xiongkuo
16 篇 dong liu
16 篇 wen gao
16 篇 shan liu
15 篇 andré kaup
15 篇 yang xiaokang
14 篇 chen zhibo
13 篇 m. vetterli
13 篇 xie rong
13 篇 xiongkuo min
13 篇 gao wen
11 篇 heming sun
11 篇 zhibo chen

语言

4,494 篇 英文
49 篇 土耳其文
23 篇 中文
9 篇 其他

检索条件"任意字段=Conference on Visual Communications and Image Processing 2003"

共 4560 条记录，以下是4481-4490 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：

Classification of the Type of Brain Tumor in MRI Using Xception Model

Classification of the Type of Brain Tumor in MRI Using Xcept...

引用

International conference on Electronics, Information and communications (ICEIC)

作者： Ramil Cobilla Jhon Carlo Dichoso Alexandre Benedict Miñon April Kate Pascual Mideth Abisado Shekinah Lor Huyo-a Gabriel Avelino Sampedro College of Computer Science Technological University of the Philippines Manila Philippines College of Computing and Information Technologies National University Manila Philippines Research and Development Center Philippine Coding Camp Manila Philippines Faculty of Information and Communication Studies University of the Philippines Open University Laguna Philippines

A brain tumor is recognized as one of the most invasive things to operate on. Cancer develops inside the brain due to unregulated and aberrant cell partitioning. The recent breakthroughs in deep learning greatly aided the medical imaging sector in diagnosing numerous diseases. In MR images, visual learning and image recognition have been used to classify the type of brain tumor. The researchers utilized a Convolutional Neural Network (CNN) approach, Data Augmentation, and image processing to organize brain MRI scans as cancerous or non-cancerous. Using the transfer learning method, the researchers compared the performance of the primary CNN model to that of pre-trained CNN and Xception models. However, the experiment was conducted on a limited dataset. Later results reveal that the model’s accuracy result is very effective and has a meager complexity rate, attaining 96% accuracy on the Xception Model.

关键词： Deep learning visualization image recognition Magnetic resonance imaging Transfer learning Brain modeling Complexity theory

来源：评论

学校读者我要写书评

暂无评论

image processing for Error Concealment

Image Processing for Error Concealment

引用

Mexican International conference on Artificial Intelligence, MICAI

作者： Mireya S. Garcia-V´zquez Abril F. Garcia-Ramirez Alejandro A. Ramirez-Acosta Centro de Investigación y Desarollo de Tecnología Digital CITEDI Tijuana Baja California México C.P. MIRALR&D Imperial Beach Imperial Beach USA

Transmission of videos in error prone environments such as mobile communications, may lead to video corruption or loss so that received visual quality is degraded. Therefore, it is essential to implement efficient and low complexity error concealment methods which allow visually reducing the degradation caused by the missing information. The contribution of this work is to report the results of a comparative analysis of five temporal error concealment (TEC) techniques in critical situations, where the frames are corrupted with different errors pattern covering 50% of the image area. The results indicate, according to two similarity metrics (SAD-BM and SAD-OBM), that the 'Best motion vector neighbor' and 'Zero motion vector' are the best TEC options. These results could help in the development of a robust but simple TEC algorithm against several errors distribution. This could be valuable in mobile video applications in which user's video requests are becoming more and more demanding and therefore significant loss of information could be present due to node congestion or excessive delay.

关键词： Vectors Measurement Videos Statistical analysis Mobile communication image reconstruction Correlation

来源：评论

学校读者我要写书评

暂无评论

DnM3Net: Multi-Scale & Multi-Level Shuffle-CNN Via Multi-Level Attention for image Denoising

DnM3Net: Multi-Scale & Multi-Level Shuffle-CNN Via Multi-Lev...

引用

IEEE International Symposium on Parallel and Distributed processing with Applications and IEEE International conference on Ubiquitous Computing and communications (ISPA/IUCC)

作者： Yue Cao Jinhe He Yu Zhang Gang Lu Shigang Liu Xiaojun Wu School of Computer Science Shaanxi Normal University Xian Shaanxi Normal University Xi'an China

ISBN: (纸本)9781728152103

Recently, based on novel convolutional neural net-work architectures proposed, tremendous advances have been achieved in image denoising task. An effective and efficient multi-level network architecture for image denoising refers to restore the latent clean image from a coarser scale to finer scales and pass features through multiple levels of the model. Unfortunately, the bottleneck of applying multi-level network architecture lies in the multi-scale information from input images is not effectively captured and the fine-to-coarse feature fusion strategy to be ignored in image denoising task. To solve these problems, we propose a multi-scale & multi-level shuffle-CNN Via multi-level attention (DnM3Net), which plugs the multi-scale feature extraction, fine-to-coarse feature fusion strategy and multi-level attention module into the new network architecture in image denoising task. The advantage of this approach are two-fold: (1) It solve the multi-scale information extraction issue of multi-level network architecture, making it more effective and efficient for the image denoising task. (2) It is impressive performance because the better trade-off between denoising and detail preservation. The proposed novel network architecture is validated by applying on synthetic gaussian noise gray and RGB images. Experimental results show that the DnM3Net effectively improve the quantitative metrics and visual quality compared to the state-of-the-art denoising methods.

关键词： convolutional neural nets feature extraction Gaussian noise image colour analysis image denoising image sampling image denoising image samples image colour analysis NETWORK STRUCTURE Gaussian noise Feature extraction multi-scale hierarchical models Noise reduction

来源：评论

学校读者我要写书评

暂无评论

visual correlation-based image gathering for wireless multimedia sensor networks

Visual correlation-based image gathering for wireless multim...

引用

IEEE Annual Joint conference: INFOCOM, IEEE Computer and communications Societies

作者： Pu Wang Rui Dai Ian F. Akyildiz Broadband Wireless Networking Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)9781424499199

In wireless multimedia sensor networks (WMSNs), visual correlation exist among multiple nearby cameras, thus leading to considerable redundancy in the collected images. This paper addresses the problem of timely and efficiently gathering visually correlated images from camera sensors. Towards this, three fundamental problems are considered, namely, MinMax Degree Hub Location (MDHL), Minimum Sum-entropy Camera Assignment (MSCA), and Maximum Lifetime Scheduling (MLS). The MDHL problem aims to find the optimal locations to place the multimedia processing hubs, which operate on different channels for concurrently collecting images from adjacent cameras, such that the number of channels required for frequency reuse is minimized. With the locations of the hubs determined by the MDHL problem, the objective of the MSCA problem is to assign each camera to a hub in such a way that the global compression gain is maximized by jointly encoding the visually correlated images gathered by each hub. At last, given a hub and its associated cameras, the MLS problem targets at designing a schedule for the cameras such that the network lifetime of the cameras is maximized by letting highly correlated cameras perform differential coding on the fly. It is proven in this paper that the MDHL problem is NP-complete, and the others are NP-hard. Consequently, approximation and heuristic algorithms are proposed. Since the designed algorithms only take the camera settings as inputs, they are independent of specific multimedia applications. Experiments and simulations show that the proposed image gathering schemes effectively enhance network throughput and image compression performance.

关键词： Cameras Joints Entropy image coding Encoding visualization Correlation

来源：评论

学校读者我要写书评

暂无评论

Visibility Estimation of Traffic Signals under Rainy Weather Conditions for Smart Driving Support

Visibility Estimation of Traffic Signals under Rainy Weather...

引用

International IEEE conference on Intelligent Transportation Systems

作者： Ryuhei Sato Keisuke Doman Daisuke Deguchi Yoshito Mekada Ichiro Ide Hiroshi Murase Yukimasa Tamatsu Graduate School of Information Science Nagoya University Japan Society for the Promotion of Science Information and Communications Headquarters Nagoya University School of Information Science & Technology Chukyo University DENSO CORPORATION

ISBN: (纸本)9781467330640

The aim of this work is to support a driver by notifying the information of traffic signals in accordance with their visibility. To avoid traffic accidents, the driver should detect and recognize surrounding objects, especially traffic signals. However, when driving a vehicle under rainy weather conditions, it is difficult for drivers to detect or to recognize objects existing in the road environment in comparison with fine weather conditions. Therefore, this paper proposes a method for estimating the visibility of traffic signals for drivers under rainy weather conditions by image processing. The proposed method is based on the concept of visual noise known in the field of cognitive science, and extracts two types of visual noise features which ware considered that they affect the visibility of traffic signals. We expect to improve the accuracy of visibility estimation by combining the visual noise features with the texture feature introduced in a previous work. Experimental results showed that the proposed method could estimate the visibility of traffic signals more accurately under rainy weather conditions.

关键词： Meteorology visualization Noise Vehicles Estimation Cameras Accuracy

来源：评论

学校读者我要写书评

暂无评论

Watermarking compressed video stream over Internet

Watermarking compressed video stream over Internet

引用

Asia-Pacific conference on communications

作者： D. Ghosh K. Ramakrishna Department of Electronics and Communication Engineering Indian Institute of Technology Guwahati India Digital Signal Processing Group Emuzed India Private Limited Bangalore India

As Internet is gaining popularity day by day throughout the globe, it has become necessary to protect the copyright ownership of multimedia data distributing in Internet. The technique generally used for the purpose is watermarking. This has motivated the ongoing research in watermarking. In this paper, we develop an oblivious scheme for watermarking MPEG coded video stream over Internet. The inter-frame similarity present in a video sequence is exploited to calculate the watermark to be embedded. Watermark corresponding to a region in the current frame is obtained from its best match in the previous frame. The watermark is embedded during the coding process thereby keeping the overall computational overhead minimum. The algorithm has been tested in terms of the watermarked video quality and its capability in extracting the author's signature (watermark bits). We have also tested the robustness of the proposed scheme against noise attack. Results obtained demonstrate the efficiency of the proposed method.

关键词： Watermarking Video compression Streaming media Internet Protection Testing image coding Robustness Frequency domain analysis Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

A role of burst firings of hindbrain neurons in detecting object distance in electrolocation

A role of burst firings of hindbrain neurons in detecting ob...

引用

International conference on Neural Information processing

作者： E. Murase Y. Kashimori MeiHong Zheng T. Kambara Department of Information Network Science School of Information Systems Division of Bioinfomatics University of Electro-Communications Chofu Tokyo Japan

Weakly electric fish generates electric field around its body using electric organ discharge and can accurately detect the location of an object using the modulation of electric field induced by an object. Objects with electric properties different from those of the surrounding water distort the electric field around fish's body depending on the size, distance and electric properties of objects. It is not clear yet how the fish recognizes the properties of an object such as its electric property, location and size based on its electric image. As the first step to clarify the neuronal mechanism of electrolocation, we developed a model of fish body by which we describe numerically the spatio-temporal patterns of electric field around the fish body. We made also neural models of electroreceptors distributed on the fish body and of electrosensory lateral line lobe (ELL) to investigate what kinds of information of electric field distorted by an object they detect. The models reproduce qualitatively the experimental results about the detections of size, distance, and moving directions of an object. We show that the lateral distance between a moving object and fish is encoded by the synchronous burst firing of ELL neurons, reflecting the spatio-temporal correlations of EOD stimuli received by the receptors.

关键词： Neurons Object detection Marine animals Brain modeling Intelligent networks Fault location visual system Auditory system Signal processing Voltage

来源：评论

学校读者我要写书评

暂无评论

ViEdge: An Edge-based Platform for Video Analytics Applications in Smart Estates

ViEdge: An Edge-based Platform for Video Analytics Applicati...

引用

International conference on Computer communications and Networks (ICCCN)

作者： Vishal Choudhary Rahul Aggarwal Hock Beng Lim Binbin Chen Center for Smart Systems (CS2) Singapore University of Technology and Design Singapore Information Systems Technology and Design Pillar (ISTD) Singapore University of Technology and Design Singapore

ISBN: (数字)9798350384611

ISBN: (纸本)9798350348439

Video analytics plays a crucial role in the development of smart estates and cities. Applications such as garbage dumping detection, lift monitoring, safety surveillance, etc. rely on video analytics, and require fast response time. Traditional cloud-based systems are ill-suited for these applications due to their limitations in handling large volume of video data with low latency. In contrast, the IoT-Edge-Cloud paradigm is better suited for such applications, but it presents challenges such as system heterogeneity, and resource allocation and orchestration. There is a need for an efficient platform for distributed video stream processing where resource orchestration and scalability aspects are tailored to smart estate *** this paper, we present ViEdge, an edge-based platform for video analytics applications in smart estates. It is highly adaptable and scalable, making it ideal for various deployments in such environments. Our implementation of ViEdge utilizes Kubernetes (K8s) for resource management and orchestration, and Apache Storm for distributed video stream processing. To study ViEdge’s customization capabilities, we evaluated its performance on a heterogeneous edge testbed. We observed increased latency in Apache Storm when integrated with Kubernetes, affecting overall application performance. However, by developing a heuristic-based scheduler, we demonstrate that ViEdge effectively reduces end-to-end latency and enhances frame processing rates.

关键词： Storms visual analytics Surveillance image edge detection Urban areas Streaming media Safety

来源：评论

学校读者我要写书评

暂无评论

A Real-time Full-HD 2D-to-3D Conversion System Using Multicore Technology

A Real-time Full-HD 2D-to-3D Conversion System Using Multico...

引用

International conference on Multimedia and Ubiquitous Engineering (MUE)

作者： Ching-Lung Su Kang-Ning Pang Tse-Min Chen Guo-Syuan Wu Chia-Ling Chiang Hang-Rnei Wen Lung-Sheng Huang Ya-Hsin Hsueh Shau-Yin Tseng SoC Lab Department of Electronics Engineering National Yunlin University of Science and Technology Yunlin Taiwan Division for Embedded System and SoC Information and Communications Research Laboratories ITRI Hsinchu Taiwan

The advancement of visual technology and the maturity of display process technique enable monitor industry to put forth multi-view stereo display systems, which allow consumers to watch 3D images with naked eyes. However, due to the insufficient 3D original videos, we are unable to achieve the end of enjoying 3D effect through stereo display. Therefore, this paper aims to provide a real-time algorithm for 2D-to-3D conversion, through which 2D video will be accompanied with a depth image so that one can obtain 3D images through auto stereoscopic display. The proposed algorithm focuses on the depth of background scenes and the active objects, while extracting depth information from the two for complete processing of depth generation. Since the production of depth information always requires heavy computation, we adapt VIA's embedded systems with a 1.6GHz CPU, as well as nVIDIA CUDA (compute unified device architecture) technology which contains 256 core processor with the clock rate of each processor up to 950MHz. When accompanied with our proposed CUDA parallelization technique, the experimental results show an 83% of recognition rate for depth image, and a display rate of 32.52 frames per second in Full-HD format (1920×1088 pixels).

关键词： Three dimensional displays Graphics processing unit Videos Real time systems Instruction sets image color analysis image edge detection

来源：评论

学校读者我要写书评

暂无评论

UDesignIt: Towards social media for community-driven design 12

UDesignIt: Towards social media for community-driven design

引用

International conference on Software Engineering (ICSE)

作者： Phil Greenwood Awais Rashid James Walkerdine School of Computing and Communications Lancaster University Lancaster UK

ISBN: (纸本)9781467310673

Online social networks are now common place in day-to-day lives. They are also increasingly used to drive social action initiatives, either led by government or communities themselves (e.g., SeeClickFix, ***, mumsnet). However, such initiatives are mainly used for crowd sourcing community views or coordinating activities. With the changing global economic and political landscape, there is an ever pressing need to engage citizens on a large-scale, not only in consultations about systems that affect them, but also involve them directly in the design of these very systems. In this paper we present the UDesignIt platform that combines social media technologies with software engineering concepts to empower communities to discuss and extract high-level design features. It combines natural language processing, feature modelling and visual overlays in the form of “image clouds” to enable communities and software engineers alike to unlock the knowledge contained in the unstructured and unfiltered content of social media where people discuss social problems and their solutions. By automatically extracting key themes and presenting them in a structured and organised manner in near real-time, the approach drives a shift towards large-scale engagement of community stakeholders for system design.

关键词： Communities Social network services Feature extraction Media Semantics Natural language processing visualization

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456页 << < 445 446 447 448 449 450 451 452 453 454 > >>

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：