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

1,805 篇 会议
14 册 图书
11 篇 期刊文献

馆藏范围

1,830 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,396 篇 工学
- 1,124 篇 计算机科学与技术...
- 824 篇 软件工程
- 463 篇 信息与通信工程
- 330 篇 光学工程
- 309 篇 控制科学与工程
- 201 篇 电气工程
- 181 篇 生物工程
- 153 篇 机械工程
- 128 篇 生物医学工程（可授...
- 98 篇 电子科学与技术（可...
- 85 篇 仪器科学与技术
- 70 篇 安全科学与工程
- 62 篇 化学工程与技术
- 44 篇 交通运输工程
- 43 篇 材料科学与工程（可...
- 26 篇 网络空间安全
617 篇 理学
- 372 篇 物理学
- 196 篇 数学
- 192 篇 生物学
- 63 篇 统计学（可授理学、...
- 59 篇 化学
- 25 篇 系统科学
228 篇 管理学
- 133 篇 管理科学与工程(可...
- 110 篇 图书情报与档案管...
- 46 篇 工商管理
139 篇 医学
- 125 篇 临床医学
- 58 篇 基础医学(可授医学...
- 48 篇 药学(可授医学、理...
37 篇 农学
- 33 篇 作物学
25 篇 艺术学
- 25 篇 设计学（可授艺术学...
20 篇 教育学
19 篇 法学
15 篇 经济学
4 篇 军事学
1 篇 文学

主题

297 篇 computer vision
167 篇 image processing
110 篇 feature extracti...
102 篇 deep learning
101 篇 image segmentati...
56 篇 object detection
55 篇 computational mo...
53 篇 machine vision
49 篇 convolutional ne...
46 篇 image enhancemen...
44 篇 cameras
44 篇 image recognitio...
39 篇 accuracy
38 篇 visualization
38 篇 machine learning
36 篇 image edge detec...
36 篇 face recognition
36 篇 training
33 篇 image color anal...
33 篇 robustness

机构

6 篇 shenyang institu...
6 篇 university of ch...
6 篇 shenyang ligong ...
5 篇 department of co...
4 篇 key laboratory o...
4 篇 school of softwa...
4 篇 school of inform...
4 篇 department of co...
4 篇 college of compu...
4 篇 beijing informat...
3 篇 school of comput...
3 篇 shanghaitech uni...
3 篇 chitkara univers...
3 篇 university of el...
3 篇 school of comput...
3 篇 institute for co...
3 篇 guangzhou civil ...
3 篇 institutes for r...
3 篇 babol noshirvani...
3 篇 computer vision ...

作者

5 篇 raman balasubram...
5 篇 lu zongqing
4 篇 zhang chao
4 篇 balasubramanian ...
4 篇 ramani sanjeev k...
4 篇 wang wei
4 篇 hossain syed akh...
4 篇 iyengar s.s.
4 篇 sanjeev kaushik ...
3 篇 liu bo
3 篇 kumar krishan
3 篇 zhang ji
3 篇 elizabeth rani g...
3 篇 neehal nafis
3 篇 rabby akm shahar...
3 篇 luc van gool
3 篇 farag aly a.
3 篇 zhao jiewen
3 篇 zou xiaobo
3 篇 zhang hualiang

语言

1,448 篇 英文
365 篇 其他
20 篇 中文
1 篇 土耳其文

检索条件"任意字段=2nd International Conference on Computer Vision and Image Processing, CVIP 2017"

共 1830 条记录，以下是871-880 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：

An Examination of Different vision based Approaches for Road Anomaly Detection 2

An Examination of Different Vision based Approaches for Road...

引用

2nd international conference of the IEEE-Nigeria-computer-Chapter (NigeriaComputConf)

作者： Bello-Salau, H. Onumanyi, A. J. Salawudeen, A. T. Mu'azu, M. B. Oyinbo, A. M. Ahmadu Bello Univ Dept Comp Engn Zaria Nigeria Fed Univ Technol Minna Dept Telecommun Engn Minna Nigeria

ISBN: (纸本)9781728107134

Recent advances in vehicular technology and sensing devices has led to the proliferation of different approaches for road surface condition monitoring and road anomaly detection. These approaches can be categorized into vision-based and accelerometer-based techniques. These techniques are designed to enable vehicles detect road anomalies and notify drivers of such, thereby reducing the rate of anomalous induced accidents. Also, these approaches can be incorporated into autonomous vehicles towards navigating through road terrains with anomalies such as potholes, speed bumps and rutting. The vision-based techniques have received wide acceptance among academia and industry players alike because of their inherent ability to detect road anomalies in real-time and notify drivers easily. In this regard, this paper presents a mini-survey of various state-of-the-art vision-based techniques proposed in the literature for road surface condition monitoring and anomaly detection. The merits and drawbacks of these techniques are highlighted. Furthermore, open research issues are presented. Our effort forms part of a larger goal aimed at developing robust vision processing approaches for road anomaly detection, as well as benefiting researchers involved in similar pursuits.

关键词： image Potholes Road Speed-Bumps Smartphone and Segmentation

来源：评论

学校读者我要写书评

暂无评论

On-line inspection and sorting system for mechanical parts based on machine vision 2

On-line inspection and sorting system for mechanical parts b...

引用

2nd international conference on Information Technologies and Electrical Engineering, ICITEE 2019

作者： Jiang, Chunling Wei, Qiang Feng, Baitao School of Physics and Electronic Engineering Taishan University Shandong Tai'an China

ISBN: (纸本)9781450372930

Based on machine vision, this paper uses Matlab to perform image processing and image recognition on the image signals of mechanical parts collected, and transmits the control signals wirelessly through Zigbee to realize on-line detection and sorting of mechanical parts. Taking a complex workpiece with multiple circular holes as an example, the structure and implementation method of the system are introduced. The system has the advantages of low cost, high precision and easy installation. Its non-contact, real-time, flexibility and accuracy can effectively solve the problems of traditional detection methods. © 2019 ACM.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Extraction of Features from Video Files Using Different image Algebraic Point Operations 19

Extraction of Features from Video Files Using Different Imag...

引用

2nd international conference on image and Graphics processing (ICIGP) / 5th international conference on Virtual Reality

作者： Dutta, Pranti Nachamai, M. Christ Univ Dept Comp Sci Bengaluru 560029 India Siemens India Bengaluru 560100 India

ISBN: (纸本)9781450360920

In the human-computer interaction (HCI) field, facial feature analysis and extraction are the most decisive stages which can lead to a robust and efficient classification system like facial expression recognition, emotion classification. In this paper, an approach to the problem of automatic facial feature extraction from different videos are presented using several image algebraic operations. These operations deal with pixel intensity values individually through some mathematical theory involved in image analysis and transformations. In this paper, 11 operations (point subtraction, point addition, point multiplication, point division, edge detecting, average neighborhood filtering, image stretching, log operation, exponential operation, inverse filtering, and image thresholding) are implemented and tested on the images (video frames) extracted from three different self-recorded videos named as video1, video2, video3. The videos are in .avi, .mp4 and .wmv format respectively. The work is tested on two types of data: grayscale and RGB (Red, Green, Blue). To assess the efficiency of each operation, three factors are considered: processing time, frames per second (FPS) and sharpness of edges of feature points based on image gradients. The implementation has been done in MATLAB R2017a.

关键词： Feature extraction image algebra Video frame Point operation

来源：评论

学校读者我要写书评

暂无评论

Transfer Learning Approach for Plant Leaf Disease Detection Using CNN with Pre-Trained Feature Extraction Method Mobilnetv2

Transfer Learning Approach for Plant Leaf Disease Detection ...

引用

international conference on Robotics,Electrical and Signal processing Techniques (ICREST)

作者： Raida Moyazzoma Md. Al Amin Hossain Md. Hasanuzzaman Anuz Abdus Sattar Daffodil International University Dhaka Bangladesh

ISBN: (数字)9781665415767

ISBN: (纸本)9781665415774

Economy of Bangladesh mostly depended on agriculture. As a small country, our population is over the limit. We are also a developing country also. For national GDP growth must be to increase the production. Every year a huge amount of agricultural production losses for the crop disease. As we know most of the farmers in our country are illiterate, have no proper knowledge about the disease, that's why they cannot manually detect the disease. I think if you properly detect the disease at the early stage we can solve the issue. We develop a model that can classify leaf disease. We focus on 5 major production crops in Bangladesh. Using computer vision technique our farmer will get the benefit. We use convolutional neural networks for classifying images. An algorithm cannot properly capture the features of existing data that's why we use a pre-trained feature extraction method that is MobileNetv2. MobileNetv2 is very useful for mobile devices. The research contains the proportions of validation accuracy of 90.38%. This approach resulted in the agriculture sector that will help a farmer to classify disease from harvest. The main goal of our model is to minimize the damage of suffering plants that can help to the growth of production. By solving this issue themselves farmers can also reduce cost. Our goal is that they can cure their crop at the right time. To achieve this goal we tend to think that we should develop a way to detect the leaf disease. We collect several kinds of cucumber leaves. And then any leave can be tasted by our model. By using our model we try to reduce the leaf disease.

关键词： Convolution Computational modeling Production Feature extraction Agriculture Diseases image classification

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach to Glaucoma Screening using computer vision 2

A Novel Approach to Glaucoma Screening using Computer Vision

引用

2nd international conference on Smart Systems and Inventive Technology, ICSSIT 2019

作者： Chakrabarty, Navoneel Chatterjee, Subhrasankar Computer Science and Engineering Jalpaiguri Government Engineering College Jalpaiguri West Bengal India

ISBN: (纸本)9781728121192

Glaucoma is one of the major and critical eye diseases discovered till date. It is actually a group of diseases that damage the optic nerve and subsequently result in vision loss and blindness. One of the major causes of Glaucoma is the intrinsic distortion of the optic nerve resulting in high fluid pressure on the front portion of the eye. The primary objective of the paper is to classify High Resolution Fundus images of the retina into Glaucomatous and Non-Glaucomatous. In order to achieve that, a DL-ML Hybrid Model has been developed with an initial image processing. The overall methodology followed in this paper has been termed as N-S Model. The HRF (High Resolution Fundus) image Database consisting of 30 images is used for the purpose. The N-S Model was deployed after development and clocked a 100% Validation Accuracy and Sensitivity of 1.0. Such an Intelligent System can accelerate the process of diagnosis and reduce the review of doctors. © 2019 IEEE.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

The Reform and Exploration of Teaching Team in Postgraduate Courses

The Reform and Exploration of Teaching Team in Postgraduate ...

引用

IEEE international conference on computer Science and Educational Informatization (CSEI)

作者： Wenhua Qian Dan Xu Guowu Yuan Wu Hao School of Information Science and Engineering Yunnan University Kunming China

ISBN: (数字)9781728170084

ISBN: (纸本)9781728170091

Postgraduate course teaching plays an important role in postgraduate education. With the development of “double first-class” construction and “new engineering disciplines”, it is imperative to reform the postgraduate course teaching, optimize the teaching system and improve the teaching effect. This paper takes the teaching of “image processing and computer vision” as an example to analyze and research the significance and role of teaching team in postgraduate courses, and discusses the advantages and characteristics of teaching team in the teaching process. We analyze the steps of how to teach the course, such as team building, course preparation, teaching, and assessment, and make a comparative analysis of the teaching effect. This paper summarizes that the teaching team is beneficial to improving the initiative and enthusiasm of students, improving the quality of teaching effectively. In addition, teaching team model can be popularized and applied to other courses.

关键词： image processing computer vision computer science Graphics Training Information science

来源：评论

学校读者我要写书评

暂无评论

Research on Autonomous Driving Perception based on Deep Learning Algorithm 2

Research on Autonomous Driving Perception based on Deep Lear...

引用

2nd international conference on image and Video processing, and Artificial Intelligence (IPVAI)

作者： Zhou, Bolin Zheng, Jihu Chen, Chen Yin, Pei Zhai, Yang China Automot Technol & Res Ctr Co Ltd Automot Data Ctr Tianjin 300393 Peoples R China Changan Univ Sch Automobile Xian 710000 Shanxi Peoples R China

ISBN: (数字)9781510634107

ISBN: (纸本)9781510634107

Multiple source sensor fusion is the foundation of motion planning for autonomous driving system, which is the crucial part in improving the performances for unmanned operational system. In this article, based on the deep learning platform CATARC constructed, applied with Udacity's Lincoln MKZ multiple sensor data, implemented with Robotic Operation System, computer vision, PointCloud Library, Deep Neural Networks and Extended Kalman Filter, constructed a low-cost object pose estimation data fusion solution, aiming at technic support for the industrialization of autonomous driving technologies.

关键词： Perception Technology Deep Learning image Recognition Point Cloud Recognition Fusion Filtering

来源：评论

学校读者我要写书评

暂无评论

Camera2Video: A Low-Cost Food Authentication System Using Smartphone Videos 2019

Camera2Video: A Low-Cost Food Authentication System Using Sm...

引用

Proceedings of the 2019 2nd international conference on Sensors, Signal and image processing

作者： Hui Wang Weiran Song Nanfeng Jiang Jordan Vincent Zhiyuan Song Xizhao Wang Ulster University Shore Rd Newtownabbey Co. Fujian Normal University King's College London Strand Shenzhen University

ISBN: (纸本)9781450372435

This paper presents a low-cost sensor system for food authentication based on computer vision and pattern *** sensor system uses a smartphone to record a video of a sample under gradient coloured illumination and transforms the video into data vector for analysis. The sensor system is evaluated on the tasks of detecting olive oil adulteration and milk fat content,achieving 100% test accuracies. Since the sensor system is built in a smartphone without any additional hardware, it has the potential to serve as a simple and effective solution for food authentication.

关键词： Food authentication Smartphone Classification computer vision Video

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Assisted Smart Glasses as Educational Aid for Visually Challenged Students 2

Deep Learning Assisted Smart Glasses as Educational Aid for ...

引用

2nd international conference on New Trends in Computing Sciences (ICTCS)

作者： AlSaid, Hawra AlKhatib, Lina AlOraidh, Aqeela AlHaidar, Shoaa Bashar, Abul Prince Mohammad Bin Fahd Univ Coll Comp Engn & Sci Al Khobar 31952 Saudi Arabia

ISBN: (纸本)9781728128825

computer vision Technology has played a significant role in assisting visually challenged people to carry out their day to day activities without much dependency on other people. Smart glasses in one such solution which enables blind or visually challenged people to "read" images. This paper is an attempt in this direction to build a novel smart glass which has the ability to extract and recognize text captured from an image and convert it to speech. It consists of a Raspberry Pi 3 B+ microcontroller which processes the image captured from a webcam super-imposed on the glasses of the blind person. Text detection is achieved using the OpenCV software and open source Optical Character Recognition (OCR) tools Tesseract and Efficient and Accurate Scene Text Detector ( EAST) based on Deep Learning techniques. The recognized text is further processed by Google's Text to Speech (gTTS) API to convert to an audible signal for the user. A second feature of this solution is to provide location-based services to the blind people by identifying locations in an academic building using the RFID technology. This solution has been extensively tested in a university environment for aiding visually challenged students. The novelty of the implemented solution lies in providing the desired computer vision functionalities of image/text recognition which is economical, small-sized, accurate and uses open source software tools. This solution can be potentially used for both educational and commercial applications.

关键词： image Recognition Speech processing Optical Character Recognition Deep Learning Raspberry Pi Python

来源：评论

学校读者我要写书评

暂无评论

image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing 2

Image Captioning with Clause-Focused Metrics in a Multi-Moda...

引用

2nd IEEE international conference on Multimedia Information processing and Retrieval (MIPR)

作者： Harzig, Philipp Zecha, Dan Lienhart, Rainer Kaiser, Carolin Schallner, Rene Univ Augsburg Multimedia Comp & Comp Vis Lab D-86159 Augsburg Germany GfK Verein D-90419 Nurnberg Germany

ISBN: (纸本)9781728111988

Automatically generating descriptive captions for images is a well-researched area in computer vision. However, existing evaluation approaches focus on measuring the similarity between two sentences disregarding fine-grained semantics of the captions. In our setting of images depicting persons interacting with branded products, the subject, predicate, object and the name of the branded product are important evaluation criteria of the generated captions. Generating image captions with these constraints is a new challenge, which we tackle in this work. By simultaneously predicting integer-valued ratings that describe attributes of the human-product interaction, we optimize a deep neural network architecture in a multi-task learning setting, which considerably improves the caption quality. Furthermore, we introduce a novel metric that allows us to assess whether the generated captions meet our requirements (i.e., subject, predicate, object, and product name) and describe a series of experiments on caption quality and how to address annotator disagreements for the image ratings with an approach called soft targets. We also show that our novel clause-focused metrics are also applicable to other image captioning datasets, such as the popular MSCOCO dataset.

关键词： image captioning multi-task learning marketing analysis lstm multi-modal learning

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183页 << < 84 85 86 87 88 89 90 91 92 93 > >>

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：