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

1,851 篇 会议
40 篇 期刊文献
7 册 图书

馆藏范围

1,898 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,517 篇 工学
- 1,317 篇 计算机科学与技术...
- 750 篇 软件工程
- 430 篇 电气工程
- 252 篇 信息与通信工程
- 251 篇 光学工程
- 195 篇 生物工程
- 118 篇 生物医学工程（可授...
- 117 篇 控制科学与工程
- 95 篇 电子科学与技术（可...
- 87 篇 机械工程
- 68 篇 化学工程与技术
- 59 篇 安全科学与工程
- 37 篇 仪器科学与技术
- 37 篇 交通运输工程
- 34 篇 材料科学与工程（可...
- 22 篇 建筑学
- 18 篇 农业工程
620 篇 理学
- 324 篇 物理学
- 232 篇 数学
- 209 篇 生物学
- 71 篇 化学
- 62 篇 统计学（可授理学、...
- 28 篇 系统科学
345 篇 医学
- 333 篇 临床医学
- 61 篇 基础医学(可授医学...
- 48 篇 药学(可授医学、理...
174 篇 管理学
- 121 篇 图书情报与档案管...
- 66 篇 管理科学与工程(可...
24 篇 农学
- 22 篇 作物学
23 篇 法学
- 21 篇 社会学
12 篇 教育学
8 篇 经济学
5 篇 军事学
2 篇 文学

主题

232 篇 computer vision
101 篇 image processing
92 篇 deep learning
73 篇 image segmentati...
68 篇 feature extracti...
41 篇 object detection
41 篇 convolutional ne...
37 篇 computational mo...
36 篇 image enhancemen...
34 篇 image reconstruc...
33 篇 machine learning
32 篇 graphics process...
32 篇 image classifica...
31 篇 face recognition
30 篇 visualization
29 篇 cameras
26 篇 image edge detec...
23 篇 training
22 篇 pixel
21 篇 generative adver...

机构

15 篇 indian institute...
12 篇 indian inst tech...
9 篇 indian statistic...
9 篇 indian institute...
9 篇 indian inst tech...
8 篇 indian institute...
8 篇 indian inst tech...
7 篇 indian stat inst...
7 篇 indian inst tech...
7 篇 indian institute...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian inst sci ...
6 篇 indian inst tech...
6 篇 department of co...
6 篇 indian inst tech...
6 篇 indian inst sci ...
6 篇 indian institute...
6 篇 indian inst tech...

作者

31 篇 chaudhury santan...
25 篇 mukherjee jayant...
25 篇 chaudhuri subhas...
21 篇 das sukhendu
16 篇 lall brejesh
15 篇 babu r. venkates...
15 篇 raman shanmugana...
13 篇 das partha prati...
13 篇 mukherjee dipti ...
13 篇 harit gaurav
13 篇 mishra deepak
11 篇 chanda bhabatosh
11 篇 mukherjee snehas...
10 篇 biswas soma
10 篇 raman balasubram...
10 篇 jawahar c.v.
10 篇 biswas prabir ku...
10 篇 sur arijit
9 篇 banerjee biplab
9 篇 bhavsar arnav

语言

1,857 篇 英文
37 篇 其他
6 篇 中文
2 篇 俄文

检索条件"任意字段=6th Indian Conference on Computer Vision, Graphics and Image Processing"

共 1898 条记录，以下是501-510 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：

Integrating Object Detection in Bird-View Systems for Enhancing Safety in Construction Machinery

Integrating Object Detection in Bird-View Systems for Enhanc...

引用

International image processing, Applications and Systems conference (IPAS)

作者： Julian Hund Eric Schöneberg Daniel Görges Hasan Hashib Electrical and Computer Engineering Institute of Electromobility Kaiserslautern Germany

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

Working with construction machinery necessitates that workers remain attentive to effectively survey their surroundings. the complex environment, blind spots, and limited visibility while simultaneously tackling complex tasks create hazardous conditions. Camera systems providing a bird view help monitoring the machine’s surroundings, but still require active monitoring while working. In this paper, we propose extending bird-view systems with object detection. We investigate and evaluate two different approaches: Detecting people in four fisheye camera images and transforming the obtained bounding boxes into a bird view, and directly detecting people in bird view. Our models, based on the YOLOv5 and YOLOv8 architectures, were trained and validated on custom datasets with 3,302 fisheye images and 1,343 bird-view images. the models achieved mAP@.5-.95 scores of 0.514 (fisheye) and 0.546 (bird view) and run at 25 frames per second on an NVIDIA Jetson Nano edge GPU. Our trained models for the detection utilize the YOLOv5 and YOLOv8 architecture and run inference with 25 frames per second on an NVIDIA Jetson Nano edge GPU. the first approach also addresses objects disappearing in stitching areas - characteristic of bird-view projection errors - by displaying bounding boxes even if they are invisible in bird view.

关键词： YOLO Surveys image edge detection image processing graphics processing units Birds Cameras Safety Machinery Monitoring

来源：评论

学校读者我要写书评

暂无评论

Efficient Approximation of Curve-Shaped Objects in Z2 Based on the Maximum Difference Between Discrete Curvature Values 6th

Efficient Approximation of Curve-Shaped Objects in Z2 Based ...

引用

6th International conference on computer vision and image processing, CVIP 2021

作者： Bhattacharjee, Sutanay Pal, Shyamosree Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai India Department of Computer Science and Engineering National Institute of Technology Silchar Assam Silchar India

ISBN: (纸本)9783031113482

In this paper, we propose a novel algorithm for the cubic approximation of digital curves and curve-shaped objects in Z2. At first, the discrete curvature value is computed for each point of the given digital curve, C, using the improved k-curvature estimation technique. Based on the estimated k-curvature value, the points are selected from C to obtain the resultant set of reduced points, C′. We use a set of cubic B-splines for the approximation of the given digital curve C. For the selection of control points, our algorithm works on a new parameter, threshold, defined as the maximum difference between discrete curvature values, based on which the control points are selected from the given digital curve, C, such that the maximum discrete curvature difference from the last selected point and the next point to be selected do not exceed the threshold. Further adjustments are made in the selection of control points based on the principle that high curvature areas of a digital curve represent more information whereas low curvature areas represent less information. Experimental results and comparisons with the existing algorithm on various digital objects demonstrate our approach’s effectiveness. It has been observed that our algorithm generates better output for approximating real-world curves in which there are large number of control points, and the rate of curvature change is fast. Our algorithm also takes less computational time since it selects the control points of a digital curve in a single iteration. © 2022, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Classroom Slide Narration System 1

引用

6th International conference on computer vision and image processing, CVIP 2021

作者： Jobin, K.V. Mondal, Ajoy Jawahar, C.V. IIIT-Hyderabad Hyderabad India

ISBN: (数字)9783031113499

ISBN: (纸本)9783031113482

Slide presentations are an effective and efficient tool used by the teaching community for classroom communication. However, this teaching model can be challenging for the blind and visually impaired (vi) students. As such student required a personal human assistance for understand the presented slide. this shortcoming motivates us to design a Classroom Slide Narration System (csns) that generates audio descriptions corresponding to the slide content. this problem poses as an image-to-markup language generation task. the initial step is to extract logical regions such as title, text, equation, figure, and table from the slide image. In the classroom slide images, the logical regions are distributed based on the location of the image. To utilize the location of the logical regions for slide image segmentation, we propose the architecture, Classroom Slide Segmentation Network (cssn). the unique attributes of this architecture differs from most other semantic segmentation networks. Publicly available benchmark datasets such as WiSe and SPaSe are used to validate the performance of our segmentation architecture. We obtained 9.54% segmentation accuracy improvement in WiSe dataset. We extract content (information) from the slide using four well-established modules such as optical character recognition (ocr), figure classification, equation description, and table structure recognizer. With this information, we build a Classroom Slide Narration System (csns) to help vi students understand the slide content. the users have given better feedback on the quality output of the proposed csns in comparison to existing systems like Facebook’s Automatic Alt-Text (aat) and Tesseract. © 2022, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Skeleton-based Human Keypoints Detection and Action Similarity Assessment for Fitness Assistance 6

Skeleton-based Human Keypoints Detection and Action Similari...

引用

6th International conference on Signal and image processing, ICSIP 2021

作者： Zhou, Jiangkun Feng, Wei Lei, Qujiang Liu, Xianyong Zhong, Qiubo Wang, Yuhe Jin, Jintao Gui, Guangchao Wang, Weijun Chinese Academy of Sciences Guangzhou Institute of Advanced Technology China Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology Shenzhen China Ningbo University of Technology Ningbo China

ISBN: (纸本)9780738133737

Human pose detection refers to finding the position of important joints of human body such as head, hands and feet in image or video, which is a frontier topic in computer vision and is widely used in many fields such as human activity analysis, advanced human-computer interaction and virtual reality. the human pose similarity metric refers to the measurement of similarity between different human poses by metric, which is crucial for the research of human pose recognition based on database retrieval. Currently, in the online fitness situation, video movement instructions are commonly used in a lecture-style with limited teaching effect. In this paper, we propose to use OpenPose and BPE algorithms to analyze and compare fitness movements based on human pose estimation and movement similarity assessment, which can provide real-time movement modification for learners and obtain movement comparison analysis and evaluation results. the experimental results show that the method has higher accuracy, shorter time consumption and better robustness. © 2021 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Surface Automation - Interacting with Applications using Black Box Approach 6

Surface Automation - Interacting with Applications using Bla...

引用

6th International conference for Convergence in Technology (I2CT)

作者： Singh, Mithilesh Kumar Raghavendra, D. Pandian, Deepak Sadana, Anubhav SAP Intelligent RPA Bangalore Karnataka India

ISBN: (纸本)9781728188768

One of the biggest challenges of any Robotic Process Automation (RPA) tools is automating scenarios in tricky environments such as virtual machines (VMs) and remote desktops or when dealing with legacy applications where the technical know-how of the interfaces are limited. Typical approach to interacting with applications under regular scenarios is to use application technology specific APIs to build knowledge metadata. However, these approaches fail when it comes to automating in the black box environments because we cannot have technical understanding or APIs of the applications. Now, the only way to automate here is by taking the screenshot of the applications and understanding the controls available inside the screenshots using image processing algorithms. In this paper we present a novel approach for an end-to-end automation of such scenarios. We employ various AI routines to understand structural and semantic aspects of enterprise applications which in turn are used for building automations and we group all these techniques under a common umbrella of Surface Automation. Our approach involves using robust Optical Character Recognition (OCR) which internally uses LSTMs for reading texts like labels, Natural Language processing (NLP) for semantic understanding of the page, image Region Similarity for matching icons like home button and computer vision based Object Detection for recognizing predefined controls [text-fields, buttons, dropdown etc.].

关键词： RPA OCR Template Matching computer vision Object Detection NLP

来源：评论

学校读者我要写书评

暂无评论

Empirical Mode Decomposition Based Morphological Profile For Hyperspectral image Classification

Empirical Mode Decomposition Based Morphological Profile For...

引用

International conference on Pattern Recognition and image Analysis (IPRIA)

作者： Kosar Amiri Maryam Imani Hassan Ghassemian Analysis Lab Faculty of Electrical and Computer Engineering Image processing and Information Tarbiat Modares University Tehran Iran

the empirical mode decomposition (EMD) based morphological profile (MP), called as EMDMP, is proposed for hyperspectral image classification in this work. the EMD algorithm can well decompose the nonlinear spectral feature vector to intrinsic components and the residual term. To extract the main spatial characteristics and shape structures, the closing operators are applied to the intrinsic components. In contrast, to extract details and more abstract contextual features, the opening operators are applied to the residual component. Finally, a multi-resolution morphological profile is provided with concatenation of the intrinsic components-based closing profile and residual component based opening profile. EMDMP achieves 96.54% overall accuracy compared to 95.15% obtained by convolutional neural network (CNN) on indian dataset with 10 % training samples. In University of Pavia with 1% training samples, EMDMP results in 97.66% overall accuracy compared to 95.90% obtained by CNN.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimized image Edge Detection Approach using Fractional Order Calculus 6

Optimized Image Edge Detection Approach using Fractional Ord...

引用

6th IEEE International conference on Communication and Electronics Systems, ICCES 2021

作者： Srinithyee, S.K. Srivarsha, E. Priyadharsini, R. Beulah, A. Ssn College of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9781665435871

In computer vision, Segmentation plays a vital step in identifying the edges of the objects which helps in object recognition. this paper proposes a new optimized edge detection algorithm which uses a fractional order mask for convolution to demarcate the edges. One of the important steps in edge detection is using a low-pass filter for smoothening to minimize the effect of noises. this bears the overheads of altering true edges and additional computational time used in identifying the edges. the characteristic of this algorithm is the fact that it is resistant to noise and can adapt to efficient detection of edges in any type of image. the quality of the edges detected varies based on the order of the fractional parameter. In most image processing techniques, smoothing process accounts for computational time overhead and bears side effects of modifying actual edges. To tackle this problem, this paper proposes an edge detection algorithm which skips the smoothing operation. © 2021 IEEE.

关键词： Low pass filters

来源：评论

学校读者我要写书评

暂无评论

OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks 6th

OGGN: A Novel Generalized Oracle Guided Generative Architect...

引用

6th International conference on computer vision and image processing, CVIP 2021

作者： Mohammad Aaftab, V. Sharma, Mansi Department of Mechanical Engineering Indian Institute of Technology Madras Chennai India Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

ISBN: (纸本)9783031113482

this paper presents a novel Generative Neural Network Architecture for modelling the inverse function of an Artificial Neural Network (ANN) either completely or partially. Modelling the complete inverse function of an ANN involves generating the values of all features that corresponds to a desired output. On the other hand, partially modelling the inverse function means generating the values of a subset of features and fixing the remaining feature values. the feature set generation is a critical step for artificial neural networks, useful in several practical applications in engineering and science. the proposed Oracle Guided Generative Neural Network, dubbed as OGGN, is flexible to handle a variety of feature generation problems. In general, an ANN is able to predict the target values based on given feature vectors. the OGGN architecture enables to generate feature vectors given the predetermined target values of an ANN. When generated feature vectors are fed to the forward ANN, the target value predicted by ANN will be close to the predetermined target values. therefore, the OGGN architecture is able to map, inverse function of the function represented by forward ANN. Besides, there is another important contribution of this work. this paper also introduces a new class of functions, defined as constraint functions. the constraint functions enable a neural network to investigate a given local space for a longer period of time. thus, enabling to find a local optimum of the loss function apart from just being able to find the global optimum. OGGN can also be adapted to solve a system of polynomial equations in many variables. the experiments on synthetic datasets validate the effectiveness of OGGN on various use cases. Our code is available at https://***/mohammadaaftabv/OGGN. © 2022, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Application of Deep Learning Techniques for Prostate Cancer Grading Using Histopathological images 1

引用

6th International conference on computer vision and image processing, CVIP 2021

作者： Gour, Mahesh Jain, Sweta Shankar, Uma Maulana Azad National Institute of Technology Bhopal462003 India

ISBN: (数字)9783031113468

ISBN: (纸本)9783031113451

Prostate cancer is one of the most dangerous cancers that affect men around the world. Pathologists use a variety of approaches to grade prostate cancer. Among them, microscopic examination of biopsy tissue images is the most efficient method. A timely and accurate diagnosis plays a critical role in preventing cancer from progressing. the recent achievement of deep learning (DL), notably in the convolution neural networks (CNN), is exceptional in medicine. In this study, we have investigated and compared the performance of the state-of-the-art CNN models, namely MobileNet-V2, ResNet50, DenseNet121, DenseNet169, VGG16, VGG19, Xception, InceptionV3, InceptionResNet-V2, and EfficientNet-B7 for prostate cancer grading using histopathological images. the performance of pre-trained CNNs has been evaluated on the publicly available Prostate cancer grade assessment (PANDA) dataset. On this multi-class classification problem, the EfficientNet-B7 model has achieved the highest classification accuracy of 90.90%. With such a high rate of success, the EfficientNet-B7 model may be a useful method for pathologists in determining the stage of prostate cancer. © 2022, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

Enhancing image Quality through Deep Learning-based Super-Resolution Techniques

Enhancing Image Quality through Deep Learning-based Super-Re...

引用

International conference on Contemporary Computing and Informatics (IC3I)

作者： Sreenivas Mekala Sushant Bhushan Puja Shashi J. Ananda Lavanya Mohit Tiwari Shilpa Narlagiri Information Technology Sreenidhi Institute of Science and Technology Hyderabad Telangana Department of Computer science Mewar University Delhi The Oxford College of Engineering Bengaluru Karnataka India Computer Science & Engineering GVPCDPGC Engineering (Autonomous) Visakhapatnam India Department of Computer Science and Engineering Bharati Vidyapeeth's College of Engineering Paschim Vihar Delhi Department of ECE School of Engineering SR University Warangal Telanagana

Significant advancements in super-resolution have been accomplished over the past two decades, particularly using deep learning techniques. image super-resolution is a key image processing technique for improving an image's resolution in the field of computer vision. In addition to providing a thorough overview of recent developments in single-image super-resolution from the viewpoint of deep learning, this article aims to educate readers about the original conventional approaches for image super-resolution. In this article, we examine significant deep learning-based SR techniques and divide them into two groups based on the contributions they make to the definition of key optimisation targets for deep SISR and the assessment of relevant neural network topologies for SISR. Finally, we wrap up our study with some present issues and potential developments in deep learning-based SISR.

关键词：

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190页 << < 47 48 49 50 51 52 53 54 55 56 > >>

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：