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

3,429 篇 会议
27 篇 期刊文献
14 册 图书

馆藏范围

3,470 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,946 篇 工学
- 1,271 篇 计算机科学与技术...
- 955 篇 信息与通信工程
- 686 篇 软件工程
- 520 篇 电气工程
- 190 篇 光学工程
- 108 篇 生物工程
- 79 篇 电子科学与技术（可...
- 62 篇 生物医学工程（可授...
- 60 篇 仪器科学与技术
- 60 篇 控制科学与工程
- 54 篇 机械工程
- 33 篇 化学工程与技术
- 32 篇 网络空间安全
- 23 篇 动力工程及工程热...
- 23 篇 安全科学与工程
- 13 篇 土木工程
- 13 篇 交通运输工程
959 篇 医学
- 951 篇 临床医学
- 29 篇 基础医学(可授医学...
- 26 篇 药学(可授医学、理...
774 篇 理学
- 574 篇 物理学
- 192 篇 数学
- 114 篇 生物学
- 53 篇 统计学（可授理学、...
- 33 篇 化学
- 29 篇 系统科学
132 篇 管理学
- 71 篇 管理科学与工程(可...
- 69 篇 图书情报与档案管...
- 17 篇 工商管理
30 篇 法学
- 28 篇 社会学
11 篇 军事学
9 篇 文学
5 篇 经济学
5 篇 农学
4 篇 教育学

主题

418 篇 image coding
349 篇 visual communica...
308 篇 image processing
293 篇 visualization
222 篇 feature extracti...
177 篇 image segmentati...
147 篇 image compressio...
139 篇 training
136 篇 video coding
130 篇 image reconstruc...
117 篇 image color anal...
107 篇 cameras
103 篇 image quality
100 篇 deep learning
95 篇 image enhancemen...
88 篇 image edge detec...
85 篇 humans
83 篇 three-dimensiona...
77 篇 motion estimatio...
76 篇 decoding

机构

36 篇 shanghai jiao to...
29 篇 institute of ima...
24 篇 school of electr...
20 篇 university of sc...
18 篇 shanghai jiao to...
16 篇 shanghai jiao to...
16 篇 tianjin univ sch...
16 篇 beijing universi...
11 篇 university of el...
11 篇 cas key laborato...
11 篇 tsinghua univ de...
10 篇 univ sci & techn...
10 篇 peking univ inst...
10 篇 institute of ima...
9 篇 zhejiang univers...
9 篇 tsinghua univ de...
9 篇 school of electr...
9 篇 xidian univ sch ...
9 篇 shanghai jiao to...
8 篇 school of remote...

作者

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

语言

3,406 篇 英文
49 篇 土耳其文
22 篇 中文
7 篇 其他

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

共 3470 条记录，以下是521-530 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：

High-Quality image Generation from Scene Graphs with Transformer

High-Quality Image Generation from Scene Graphs with Transfo...

引用

2022 IEEE International conference on Multimedia and Expo, ICME 2022

作者： Zhao, Xin Wu, Lei Chen, Xu Gong, Bin School of Software Shandong University China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

image generation from scene graphs has traditionally focused on predicting layout from the scene graph using graph convolutional networks firstly, then converting the layout to an image. These methods might involve complex architectures, auxiliary losses, or side information such as object location or image crops during training. We propose a new method based on transformer for end-to-end image generation from scene graphs. To convert the scene graphs to the input format required by the transformer, we propose a novel method to tokenize the scene graphs. Furthermore, a discrete autoencoder is used to map the image to abstract space. Finally we train the transformer predicting image tokens conditioned on the scene graphs in an autoregressive way. Experiments on visual Genome and Coco-Stuff datasets show that our method significantly outperforms the state-of-the-art methods in terms of image quality. © 2022 IEEE.

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

visual Information Analysis Based on Viewing Aangle Distance Similarity and Velocity Measurement Model of Longitudinal Plane Translation

Visual Information Analysis Based on Viewing Aangle Distance...

引用

Asia-Pacific conference on communications Technology and Computer Science (ACCTCS)

作者： Wang Zhen Chang Xinlong Zhang Youhong Qi Chunbao Res Inst Hitechnol Xian Peoples R China

ISBN: (纸本)9781728176499

In order to obtain more accurate information in the analysis of visual information, this paper combines spatial relationships and uses two image and video processing tools, PS and AE, to establish "scale model", "cross-ratio theorem model", "similarity model of viewing angle distance", "velocity measurement model of longitudinal plane translation", and designed "viewing angle solution algorithm". The results show: through the above models and algorithms, mathematical tools such as MATLAB and Python3 can be used to efficiently, accurately and quickly calculate the height, floor area and road length of the building in the 3D video information, and obtain the horizontal view of the drone lens, longitudinal viewing angle and its flying height and speed.

关键词： image processing cross-ratio theorem model similarity model of viewing angle distance velocity measurement model of longitudinal plane translation

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Application of image Recognition Based on Self-driving Vehicle 5th

Deep Learning Application of Image Recognition Based on Self...

引用

5th International conference on Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT, ICETCE 2022

作者： Bhujade, Stuti Kamaleshwar, T. Jaiswal, Sushma Babu, D. Vijendra Analyst in Artificial Intelligence UT Administration of DNH and Daman & Diu Daman396210 India Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India Koni Chhattisgarh Bilaspur495009 India Department of Electronics and Communication Engineering Aarupadai Veedu Institute of Technology Vinayaka Mission’s Research Foundation Tamil Nadu Paiyanoor603104 India

ISBN: (纸本)9783031070112

A CNN (Convolutional Neural Network) is an artificial neural network used to evaluate visual pictures. It is used for visual image processing and is categorised as a deep neural network in deep learning. So, using real-time image processing, an AI autonomous driving model was built using a road crossing picture as an impediment. Based on the CNN model, we created a low-cost approach that can realistically perform autonomous driving. An end-to-end model is applied to the most widely used deep neural network technology for autonomous driving. It was shown that viable lane identification and maintaining techniques may be used to train and self-drive on a virtual road. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

A Study of visual Question Answering Techniques Based on Collaborative Multi-Head Attention

A Study of Visual Question Answering Techniques Based on Col...

引用

communications Technology and Computer Science (ACCTCS), Asia-Pacific conference on

作者： Yingli Yang Jingxuan Jin De Li Inst. of Intelligent Information Processing Yanbian University Yanji China Dept. of Compter Science and Technology Yanbian University Yanji China

In visual question answering task, the dominant approach recently has been to use a unified model for pre- training and fine tuning it. This unified model typically uses a transformer to fuse image and text information. In order to optimize the performance of the model on visual question answering task, this paper proposes a transformer architecture based on a collaborative multi-head attention mechanism to address the key/value projection redundancy problem in the multi-head attention mechanism of the transformer. In addition, this paper uses the Swin transformer model as the image feature extractor to extract multi-scale image information. Validation experiments are conducted on the VQA v2 dataset in this paper, and the experimental results show that applying the collaborative multi-head attention approach and the Swin transformer backbone to the visual question answering model can effectively improve the correct rate of the visual question answering task.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantum Fourier Transform in image processing 1

引用

3rd International conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2023

作者： Mukhamedieva, D.T. Sobirov, R.A. Turgunova, N.M. Samijonov, B.N. Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University 39 Kari Niyaziy Street Tashkent100000 Uzbekistan Sejong University 209 Neungdong-ro Gwangjin-gu Seoul Korea Republic of

ISBN: (数字)9783031603181

ISBN: (纸本)9783031603174

This paper presents an approach to apply quantum Fourier transform (QFT) to image processing using quantum computing. The use of quantum computing for image analysis and processing is becoming increasingly relevant in modern science and technology. A quantum QFT circuit is presented, implemented using the Qiskit framework, which is a tool for programming quantum computers. The paper presents the basic steps of QFT and their application to a state vector representing the pixel intensities of an image. The influence of quantum transformation on the image structure is studied and the results are presented in the form of graphs and visualizations. In addition, we have introduced QFT quantum circuit inference capabilities for a more visual representation of the algorithm. The results highlight the potential of quantum computing in the field of image processing and open new prospects for the use of quantum technologies in the field of computer vision. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Circuit simulation

来源：评论

学校读者我要写书评

暂无评论

High-Fidelity Free-View Talking Head Synthesis for Low-Bandwidth Video conference

High-Fidelity Free-View Talking Head Synthesis for Low-Bandw...

引用

IEEE visual communications and image processing (VCIP)

作者： Zhiyu Zhang Anni Tang Chen Zhu Guo Lu Rong Xie Li Song Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China

As video conferencing becomes an indispensable part of human’s daliy life, how to achieve a high-fidelity calling experience under low bandwidth has been a popular and challenging issue. Deep generative models have great potential in low-bandwidth facial video compression due to the excellent generation capability based on abridged information. Nevertheless, exsiting deep generation-based compression methods tend to handle motion information in pure 2D or pseudo 3D space, causing facial distortion when large head poses are encountered. In this paper, we propose a 3D-aware high-fidelity facial video conferencing system based on a parameterized NeRF-based face model. Through the compression of the parameterized face model and the transmisstion of extracted facial parameters, we implement high-fidelity talking head synthesis for video conferencing at an ultra-low bitrate. Additionally, the 3D perception capability of the system allows for viewpoint control over the head, achieving higher interactivity and practicability. Extensive experiments verify the effectiveness of the proposed 3D-aware high-fidelity free-view facial video conferencing system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Generative Representation and Discriminative Classification for Few-shot Open-set Object Detection

Generative Representation and Discriminative Classification ...

引用

IEEE visual communications and image processing (VCIP)

作者： Peixue Shen Ruoqi Li Yan Luo Yiru Zhao Chao Gao Chongyang Zhang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China China Pacific Insurance(Group) Co. Ltd. Shanghai China

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Open-Set Object Detection (OSOD) aims to train detectors on closed-set datasets to detect known objects and identify unknown objects in open-set conditions. Traditional discriminative classifier-based OSOD methods struggle to accurately learn the decision boundary between known and unknown classes, often resulting in the misclassification of unknown samples. In this work, we aim to combine generative representation with discriminative classification to alleviate the issue of misclassification by transforming known-unknown recognition into a binary classification problem. The proposed two-stage OSOD approach proceeds as follows: during the generative representation stage, we employ Class-Conditioned Normalizing Flow (CCNF) to establish distribution mapping for each known category; In the discriminative classification stage, by utilizing a small number of unknown class samples, semi-push-pull supervised learning and entropy contrast learning are used to separate known and unknown classes. Extensive experiments demonstrate that our method significantly enhances OSOD performance, evidenced by a 25.8%-28.6% reduction in the Wilderness Index and a decrease of 4391-8870 units in Absolute Open-Set Errors on the test set VOC-COCO-T1.

关键词： Accuracy visual communication image processing Supervised learning Object detection Detectors Contrastive learning Entropy Object recognition Indexes

来源：评论

学校读者我要写书评

暂无评论

SketchAnimator: Animate Sketch via Motion Customization of Text-to-Video Diffusion Models

SketchAnimator: Animate Sketch via Motion Customization of T...

引用

IEEE visual communications and image processing (VCIP)

作者： Ruolin Yang Da Li Honggang Zhang Yi-Zhe Song PRIS School of Artificial Intelligence Beijing University of Posts and Telecommunications China SketchX CVSSP University of Surrey United Kingdom

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Sketching is a uniquely human tool for expressing ideas and creativity. The animation of sketches infuses life into these static drawings, opening a new dimension for designers. Animating sketches is a time-consuming process that demands professional skills and extensive experience, often proving daunting for amateurs. In this paper, we propose a novel sketch animation model SketchAnimator, which enables adding creative motion to a given sketch, like "a jumping car". Namely, given an input sketch and a reference video, we divide the sketch animation into three stages: Appearance Learning, Motion Learning and Video Prior Distillation. In stages 1 and 2, we utilize LoRA to integrate sketch appearance information and motion dynamics from the reference video into the pre-trained T2V model. In the third stage, we utilize Score Distillation Sampling (SDS) to update the parameters of the Bézier curves in each sketch frame according to the acquired motion information. Consequently, our model produces a sketch video that not only retains the original appearance of the sketch but also mirrors the dynamic movements of the reference video. We compare our method with alternative approaches and demonstrate that it generates the desired sketch video under the challenge of one-shot motion customization.

关键词： visual communication image processing Dynamics Animation Diffusion models Mirrors Automobiles Text to video Creativity

来源：评论

学校读者我要写书评

暂无评论

ACIQA: A Dataset and Method for Assessing the Imaging Quality of Automotive Cameras

ACIQA: A Dataset and Method for Assessing the Imaging Qualit...

引用

IEEE visual communications and image processing (VCIP)

作者： Yijie Huang Haoyang Ni Kaiwei Zhang Ziheng Jia Fangfang Lu Xiongkuo Min Guangtao Zhai Shanghai University of Electric Power China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

The imaging quality of automotive cameras is crucial in complex driving environments. Therefore, it is essential to conduct subjective experiments that can realistically reflect drivers’ evaluation of the imaging quality of automotive cameras in real traffic scenarios. To accurately assess the imaging quality of automotive cameras, this paper proposes a no-reference quality assessment method with quality scores that are highly consistent with human subjective perception. Initially, this study constructs a new image quality assessment dataset and then obtains the subjective scores of image quality through subjective experiments. The dataset is constructed by using a variety of realistic props to simulate scene elements that might be captured by an automotive camera and are captured using a wide range of cameras with different sensor types, lens focus, and viewing angles, resulting in a dataset of diverse images. The objective quality assessment method proposed in this paper consists of an object detection network and a multi-branch quality evaluation network. The object detection network is responsible for identifying and classifying scene elements, while the multi-branch quality evaluation network performs feature extraction and score regression on various types of elements to effectively evaluate the imaging quality of the automotive cameras. In the experiments, this no-reference quality assessment method is tested on our built dataset, and the results show that the proposed method exhibits the best performance compared with the state-of-the-art image quality assessment methods.

关键词： image quality visual communication Object detection Cameras Feature extraction Quality assessment Object recognition Automotive engineering Lenses

来源：评论

学校读者我要写书评

暂无评论

Development of image processing Techniques in Crack Detection and Analysis

Development of Image Processing Techniques in Crack Detectio...

引用

Electrical, Computer, communications and Mechatronics Engineering (ICECCME), International conference on

作者： Luqman Sulaiman Al Dhafari Aftab Afzal Raid Ibrahim Al Bahrani Yahyah Al Busaidi Akbar Sheikh-Akbari Mohammad Sayeed Hossain Dept. Aeronautical Engineering Military Technological College Muscat Sultanate of Oman School of Built Environment Engineering and Computing Leeds Beckett University Leeds United Kingdom

Inspection of aircraft skin is required as per the Corrosion Prevention and Control Program (CPCP) to ensure aircraft structural integrity. Human visual inspection is the most widely used technique in aircraft surface inspection, according to the CPCP. Scheduled inspections and regular maintenance of an aircraft through conventional methods constitute tedious and lengthy procedures. Often the visual inspections lead to subjective judgement and do not constitute repeatability. Many automated vision-based aircraft skin inspection systems have been designed to provide a safe, quick, and accurate visual assessment over the past years. This paper presents a section of research investigating defect detecting and accurately locating the outer body of an aircraft using an Unmanned Aerial Vehicle (UAV) to capture images and digital image processing techniques to locate possible cracks. The inspection system is used to initially detect locations of cracks (defects) on an aircraft’s outer skin and the detected crack is further investigated using thermal and ultrasound imaging methods. The scope of this paper includes a review of the design and development of a series of advanced dedicated image processing algorithms suitable for applying digital image processing on images captured from the outer surface of a typical aircraft fuselage.

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347页 << < 49 50 51 52 53 54 55 56 57 58 > >>

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：