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

25,402 篇 会议
285 篇 期刊文献
21 册 图书
1 篇 学位论文

馆藏范围

25,709 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

15,936 篇 工学
- 9,973 篇 计算机科学与技术...
- 6,100 篇 电气工程
- 5,848 篇 信息与通信工程
- 5,673 篇 软件工程
- 2,046 篇 光学工程
- 1,532 篇 控制科学与工程
- 1,287 篇 机械工程
- 1,159 篇 电子科学与技术（可...
- 879 篇 生物医学工程（可授...
- 836 篇 生物工程
- 820 篇 仪器科学与技术
- 297 篇 网络空间安全
- 259 篇 安全科学与工程
- 257 篇 化学工程与技术
- 254 篇 交通运输工程
- 184 篇 材料科学与工程（可...
- 171 篇 土木工程
5,789 篇 理学
- 3,525 篇 物理学
- 2,242 篇 数学
- 886 篇 生物学
- 571 篇 统计学（可授理学、...
- 419 篇 系统科学
- 358 篇 化学
3,063 篇 医学
- 2,921 篇 临床医学
- 314 篇 基础医学(可授医学...
- 229 篇 药学(可授医学、理...
- 172 篇 特种医学
1,434 篇 管理学
- 884 篇 管理科学与工程(可...
- 623 篇 图书情报与档案管...
- 171 篇 工商管理
185 篇 法学
134 篇 农学
58 篇 教育学
56 篇 文学
51 篇 经济学
51 篇 军事学
22 篇 艺术学

主题

3,142 篇 image processing
2,089 篇 image coding
2,034 篇 visualization
1,757 篇 image segmentati...
1,493 篇 feature extracti...
1,083 篇 image reconstruc...
909 篇 cameras
890 篇 signal processin...
834 篇 image color anal...
756 篇 humans
716 篇 image edge detec...
701 篇 image enhancemen...
675 篇 computer vision
656 篇 training
591 篇 deep learning
584 篇 image analysis
536 篇 image quality
481 篇 conferences
473 篇 object detection
472 篇 robustness

机构

51 篇 school of electr...
48 篇 shanghai jiao to...
39 篇 ieee
38 篇 university of sc...
36 篇 shanghai jiao to...
36 篇 school of comput...
36 篇 university of ch...
34 篇 shanghai jiao to...
32 篇 microsoft resear...
26 篇 national institu...
25 篇 department of el...
24 篇 hendisli&#x011f
23 篇 institute for in...
23 篇 institute of ima...
23 篇 istanbul teknik ...
22 篇 peking univ inst...
22 篇 university of el...
22 篇 institute of dig...
21 篇 institute of inf...
21 篇 univ chinese aca...

作者

62 篇 guangtao zhai
46 篇 song li
44 篇 zhai guangtao
32 篇 jie yang
27 篇 li li
25 篇 m. vetterli
25 篇 bovik alan c.
25 篇 li sumei
25 篇 li song
25 篇 sarp ertürk
24 篇 jing zhang
24 篇 b. macq
23 篇 zhang lei
23 篇 li zhuo
23 篇 d.r. bull
22 篇 jürgen seiler
21 篇 shi guangming
20 篇 liu yang
20 篇 zhang wenjun
18 篇 mohamed-chaker l...

语言

23,671 篇 英文
1,435 篇 其他
488 篇 土耳其文
165 篇 中文
2 篇 西班牙文
2 篇 葡萄牙文

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

共 25709 条记录，以下是3991-4000 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：

Dense image Captioning in Hindi

Dense Image Captioning in Hindi

引用

ieee International conference on Systems, Man, and Cybernetics (SMC)

作者： Gill, Karanjit Saha, Sriparna Mishra, Santosh Kumar Indian Inst Technol Patna Dept Comp Sci & Engn Patna Bihar India

ISBN: (纸本)9781665442077

Much work has been done on dense image captioning in the English language. In this paper, we propose a Encoder-Decoder architecture for the first time, to the best of our knowledge, to generate Hindi dense image captions. We leverage the proven encoder-decoder architecture and provide a Hindi data-set along with results of dense captioning on the data-set. We also propose a novel post-processing technique to further improve the quality of captions by using multiple discriminators (language discriminator, length penalty and dissimilarity score). Hindi is the fourth most spoken language in the world. It is the official language of India and to the best of our knowledge, this is the first attempt at dense image captioning in the Hindi language. The data-set is manually created by translating visual Genome captions from English to Hindi under manual supervision. Both qualitative (in terms of adequacy and fluency) and quantitative (in terms of BLEU scores) analysis of the generated captions reveal the effectiveness of our proposed approach compared to several strong baselines.

关键词： Signal encoding

来源：评论

学校读者我要写书评

暂无评论

ENHANCE VIA DECOUPLING: IMPROVING MULTI-LABEL CLASSIFIERS WITH VARIATIONAL FEATURE AUGMENTATION

ENHANCE VIA DECOUPLING: IMPROVING MULTI-LABEL CLASSIFIERS WI...

引用

28th ieee International conference on image processing, ICIP 2021

作者： Chen, Ming Wang, Guijin Xue, Jing-Hao Ding, Zijian Sun, Li Department of Electronic Engineering Tsinghua University China Beijing National Research Center for Information Science and Technology China Department of Statistical Science University College London United Kingdom

ISBN: (纸本)9781665441155

Multi-label classification remains a challenging problem due to the inherent label imbalance issue, which brings over-fitting of minor categories to modern deep models. In this paper, to tackle this issue, we propose a novel method named Variational Feature Augmentation (VFA) to enhance the deep neural networks for multi-label classification. Our method decouples the feature vectors extracted by the backbone network into multiple low-dimensional spaces via a novely proposed Variational Feature Decoupling Module. The decoupled feature vectors are then re-combined with a shuffle operation and a Feature Augmentation Layer to enrich the minor co-occurrence relations, mitigating the label imbalance. Different from most other methods, VFA does not modify the network architecture or introduce extra computation cost in inference phase. We conduct comprehensive experiments on four benchmarks of two visual multi-label classification tasks, pedestrian attribute recognition and multi-label image recognition, and the results demonstrate the effectiveness and generality of the proposed VFA. © 2021 ieee.

关键词： image recognition

来源：评论

学校读者我要写书评

暂无评论

Multiple Edge Computing Devices with Computer Vision for Social Distancing

Multiple Edge Computing Devices with Computer Vision for Soc...

引用

2022 ieee Region 10 International conference, TENCON 2022

作者： Guico, Maria Leonora Oppus, Carlos Monje, Jose Claro Kwong, John Chris Ngo, Gwendolyn Belarmino, Mark Daniel Mamaril, Cris Emmanuel Cirglen Ngo, Genevieve Ateneo de Manila University Department of Electronics Computer and Communications Engineering Quezon City Philippines

ISBN: (数字)9781665450959

ISBN: (纸本)9781665450959

Coronavirus disease, widely known as COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. Once infected, a person can spread the virus through their nose or mouth in small particles when they cough, sneeze, speak, or breathe. According to the World Health Organization (WHO), one way to be protected from the risk of virus infection is to stay at least 1 meter apart from others while wearing a properly filtered mask. The study aims to design and develop a multiple edge computing system with computer vision capabilities to monitor the adherence of social distancing in multiple locations and in real time. An edge computing device uses a camera to process a stream of images. Graphical processing Unit (GPU) was utilized for faster inference processing to detect people. The person's location will undergo transformation to get a 2D perspective. Then, a distance calculation algorithm will be imposed to each pair of persons detected to detect breach of social distancing protocol. For every breach detected, location coordinates will be sent to the host database for visualization and monitoring. The use of multiple edge computing devices for computer vision application was compared to the IP camera system in monitoring multiple locations. It is found that utilization of multiple edge computing devices has significant advantages in terms of power consumption, data acquisition, image processing and inference, and setup cost. © 2022 ieee.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Silo: Half-Gigapixel Cylindrical Stereoscopic Immersive Display

Silo: Half-Gigapixel Cylindrical Stereoscopic Immersive Disp...

引用

ieee Annual International Symposium Virtual Reality

作者： Saeed Boorboor Doris Gutiérrez-Rosales Ahamed Shoaib Chahat Kalsi Yue Wang Yuyang Cao Xianfeng Gu Arie E. Kaufman Center for Visual Computing Stony Brook University Stony Brook NY

ISBN: (数字)9798331536459

ISBN: (纸本)9798331536466

We present the design and construction of the Silo, a fully immersive stereoscopic cylindrical tiled-display visualization facility. Comprising 168 high-density LCD displays, the facility provides an ultra-high-resolution image of 619 million pixels, and close to 360 horizontal field-of-regards (FoR), aiming to maximize visual acuity and completely engage the human visual sensorium and its periphery. In this article, we outline the motivations, design principles, hardware selection and software systems, and interaction modalities used in constructing the Silo. To address missing visual information due to the absence of a ceiling and floor, we have designed a method that utilizes conformal mapping and optimal mass transport to reproject the entire 360 volumetric FoR of the virtual scene to the available display real estate. We showcase several applications demonstrating the utility of the Silo and report the findings of our user studies that highlight the effectiveness of the Silo layout compared to curved mono and flat powerwall display facilities. Our user evaluations and studies have shown that the Silo supports natural exploration and enhanced visualization due to its capability to render surround ultra-high-resolution stereoscopic views.

关键词： visualization Three-dimensional displays Stereo image processing Data visualization Transportation Virtual reality Software systems Liquid crystal displays Floors Next generation networking

来源：评论

学校读者我要写书评

暂无评论

Research on Machine Vision Intelligent Detection System Based on Faster R-CNN

Research on Machine Vision Intelligent Detection System Base...

引用

Data Science and Computer Application (ICDSCA), ieee International conference on

作者： Xueting Wang Weizhao Song Huitong He Fanshuo Zeng Zhipeng Zhang Zheyuan Zhou Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9798350368239

ISBN: (纸本)9798350368246

With the rapid development of artificial intelligence technology, visual inspection and image processing algorithms have been continuously improved in accuracy and efficiency, and intelligent inspection systems based on machine vision have been widely used in product quality control, defect detection and process monitoring. In this paper, a machine vision intelligent inspection system based on Faster Region-based Convolutional Network (Faster R-CNN) is proposed, which aims to improve the detection accuracy and efficiency. In this paper, the overall architecture of the system is introduced, including the image acquisition module, the data preprocessing module and the detection module based on Faster R-CNN. In the data preprocessing module, the Deep Convolution Generative Adversarial Networks (DCGAN) algorithm was proposed for image expansion generation, and high-resolution image samples that were basically consistent with the collected image datasets were obtained. Then, the Faster R-CNN model was optimized and adjusted for specific application scenarios, so that the average accuracy (mAP) of the model reached 78.23% and the FPS value reached 11.0.

关键词： Process monitoring visualization Accuracy image recognition Machine vision Computational modeling Data preprocessing Inspection Product design Quality assessment

来源：评论

学校读者我要写书评

暂无评论

Learned image Compression for Both Humans and Machines via Dynamic Adaptation

Learned Image Compression for Both Humans and Machines via D...

引用

ieee International conference on image processing

作者： Lingyu Zhu Binzhe Li Riyu Lu Peilin Chen Qi Mao Zhao Wang Wenhan Yang Shiqi Wang Department of Computer Science City University of Hong Kong Hong Kong China Communication University of China Beijing China Peking University Beijing China PengCheng Laboratory Shenzhen China Shenzhen Research Institute City University of Hong Kong Shenzhen China

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

Recent advancements in neural image compression have shown great potential in outperforming conventional standard codecs in terms of both rate-distortion and rate-analysis performance. However, there is an issue of divergent preferences in information preservation or reconstruction in the process of compression for humans and machines, respectively. Compression for humans tends to retain the signal fidelity or perceptual quality of visual appearance while compression for machines requires preserving critical semantic information, resulting in the limitation of the bitstream supporting only a single requirement during the compression. To bridge this gap, we propose a dynamic adaptation approach that generates a single bitstream serving both humans and machines. This approach aims to mitigate the domain gap among tasks, which facilitates maintaining the performance of out-of-scope tasks. Specifically, the proposed method concentrates on learning a dynamic adaptation process, i.e., optimizing the latent representation in the compressed domain in an end-to-end manner while adhering to the rate-performance constraint. Extensive results reveal that our paradigm significantly reduces the domain gap, surpassing existing codecs.

关键词： visualization image coding Codecs Machine vision Semantics Rate-distortion Task analysis

来源：评论

学校读者我要写书评

暂无评论

The Finest Convolutional Neural Network Model for Detecting Paddy Leaf Disease using image processing

The Finest Convolutional Neural Network Model for Detecting ...

引用

Contemporary Computing and communications (InC4), ieee International conference on

作者： Md. Abid Ashraf Alima Begum Samia Ashraful Islam Md. Abu Naser Mojumder Department of Computer Science and Engineering Sylhet Engineering College Sylhet Bangladesh

There are over 30 different rice leaf diseases, some of which are common in Bangladesh and could cause significant economic and environmental problems. If these diseases are identified early and accurately, the damage they cause to crops and the losses they cause to farmers can be significantly mitigated. Researchers from all over the world have used a variety of methods and techniques to find diseases in rice leaves. The traditional disease detection method often needs to be more accurate and productive. Therefore, this study applies a novel approach with image processing and a convolutional neural network (CNN) to mitigate the constraint. This proposed methodology is designed to automatically sharpen the leaf images using an image filter, then apply CNN models. This work involved thirteen models in total; five models with “Resnet” architecture, four models with “Dense net” architecture, and four models based on “VGG” architecture. Here a raw dataset with 1600 images named “PaddyLeafBD” with four different classes is used, and gain the best accuracy among all of those models is 99.49% for VGG1$6_{-}$bn, Densenet-201, Densenet-161, Densenet-169, Resnet-18, Resnet-34, and Resnet-50 whereas least accuracy was 9S.4% for VGG-II and VGG-13.

关键词：

来源：评论

学校读者我要写书评

暂无评论

From Pixels to Voice: A Simple and Efficient End-to-End Spoken image Description Approach via Vision Codec Language Models

From Pixels to Voice: A Simple and Efficient End-to-End Spok...

引用

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

作者： Chung Tran Sakriani Sakti Graduate School of Science and Technology Nara Institute of Science and Technology Ikoma Japan

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Neural audio codecs provide a powerful tool for compressing audio signals into discrete codec representations. This compact discrete representation has made it possible to successfully apply a natural language processing (NLP) model to various audio and speech processing tasks, including text-to-speech (e.g., VALL-E, VALL-E X) and multimodal audio-text generation (e.g., LauraGPT, VioLA). While these models excel at handling sequential data like text and speech, their potential for processing non-sequential data, such as images, remains unexplored. In this paper, we introduce PixVoxLM, a simple and efficient end-to-end framework that combines vision-language models with neural audio codecs to tackle the image-to-Speech (I2S) problem. Experiments on the Flickr8k dataset demonstrate that PixVoxLM delivers promising results compared to existing I2S methods. Furthermore, this research is the first to explore a new capability: visual-guided speech completion in I2S model, paving the way for new practical applications in everyday communication, such as speech prompt-based instruction.

关键词： Codecs Speech coding Signal processing Natural language processing Data models Acoustics Text to speech Speech processing Synthetic aperture sonar

来源：评论

学校读者我要写书评

暂无评论

Fake Logo Detection Using image processing

Fake Logo Detection Using Image Processing

引用

Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), ieee International conference on

作者： Vengamamba Sravya Battini S. Ravi Kishan Venkata Divya Valeti dept. of CSE VRSEC Kanuru Andhra Pradesh

ISBN: (数字)9798350382693

ISBN: (纸本)9798350382709

Logo authentication is crucial in various domains to ensure the integrity and trustworthiness of visual brand representations. This project introduces a sophisticated Fake Logo Detection system leveraging Convolutional Neural Networks (CNNs) to ascertain the legitimacy of provided logos by conducting a thorough analysis of key features, visual attributes, and patterns. In the contemporary landscape, logos play a pivotal role in defining a company's identity, and the proliferation of counterfeit logos poses a substantial threat to brand credibility. The innovative CNN-based methodology exploits its inherent capability to autonomously extract intricate features and patterns from logo images, facilitating a robust differentiation between authentic and manipulated logos. The model undergoes comprehensive training on a diverse dataset that spans a wide spectrum of logos, ensuring its adaptability to various visual styles. Through a meticulous examination of features, visual characteristics, and patterns, our system contributes to a nuanced comprehension of logo authenticity. Empirical results underscore the effectiveness of the proposed approach in accurately discerning real and fake logos, thus providing a valuable tool for safeguarding brands in the digital domain.

关键词： Training visualization Adaptation models Communication systems Neural networks Authentication Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Best and Worst External Viewpoints for Teleoperation visual Assistance

Best and Worst External Viewpoints for Teleoperation Visual ...

引用

ACM/ieee International conference on Human-Robot Interaction (HRI)

作者： Shilleh, Mahmood M. Amer, Qusai A. Dufek, Jan Murphy, Robin R. Texas A&M Univ Comp Sci & Engn College Stn TX 77843 USA

ISBN: (纸本)9781450382908

A HRI study with 31 expert robot operators established that an external viewpoint from an assisting robot could increase teleoperation performance by 14% to 58% while reducing human error by 87% to 100% This video illustrates those findings with a side-by-side comparison of the best and worst viewpoints for the passability and traversability affordances. The passability scenario uses a small unmanned aerial system as a visual assistant that can reach any viewpoint on the idealized hemisphere surrounding the task action. The traversability scenario uses a small ground robot that is restricted to a subset of viewpoints that are reachable.

关键词： Robotics User/Machine Systems Distributed Intelligence image processing and Computer Vision

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 << < 396 397 398 399 400 401 402 403 404 405 > >>

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：