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

4,884 篇 会议
91 篇 期刊文献
21 册 图书

馆藏范围

4,996 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,835 篇 工学
- 1,763 篇 计算机科学与技术...
- 1,191 篇 信息与通信工程
- 935 篇 软件工程
- 878 篇 电气工程
- 274 篇 光学工程
- 139 篇 控制科学与工程
- 129 篇 电子科学与技术（可...
- 124 篇 生物工程
- 103 篇 生物医学工程（可授...
- 99 篇 仪器科学与技术
- 85 篇 机械工程
- 68 篇 网络空间安全
- 45 篇 化学工程与技术
- 30 篇 安全科学与工程
- 27 篇 动力工程及工程热...
- 26 篇 测绘科学与技术
1,207 篇 医学
- 1,186 篇 临床医学
- 34 篇 基础医学(可授医学...
- 31 篇 药学(可授医学、理...
- 28 篇 特种医学
1,056 篇 理学
- 755 篇 物理学
- 299 篇 数学
- 138 篇 生物学
- 84 篇 统计学（可授理学、...
- 53 篇 系统科学
- 50 篇 化学
254 篇 管理学
- 161 篇 管理科学与工程(可...
- 100 篇 图书情报与档案管...
47 篇 军事学
- 45 篇 军队指挥学
38 篇 法学
- 34 篇 社会学
14 篇 农学
10 篇 文学
8 篇 经济学
7 篇 教育学
2 篇 艺术学

主题

562 篇 image coding
549 篇 image processing
354 篇 visual communica...
326 篇 visualization
308 篇 feature extracti...
298 篇 image segmentati...
189 篇 image reconstruc...
181 篇 cameras
178 篇 image compressio...
175 篇 humans
161 篇 video coding
161 篇 signal processin...
131 篇 image enhancemen...
131 篇 image quality
127 篇 image analysis
127 篇 image color anal...
125 篇 image edge detec...
122 篇 training
119 篇 image retrieval
107 篇 decoding

机构

36 篇 shanghai jiao to...
29 篇 institute of ima...
25 篇 school of electr...
22 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...
13 篇 institute of ima...
12 篇 cas key laborato...
11 篇 university of el...
11 篇 tsinghua univ de...
10 篇 univ sci & techn...
10 篇 school of comput...
10 篇 peking univ inst...
10 篇 tsinghua univ de...
10 篇 xidian univ sch ...
9 篇 zhejiang univers...
9 篇 microsoft res as...

作者

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

语言

4,898 篇 英文
64 篇 土耳其文
31 篇 中文
20 篇 其他

检索条件"任意字段=Conference on Visual Communications and Image Processing 2007"

共 4996 条记录，以下是731-740 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：

image Inpainting with Frequency Domain Wavelet Convolution

Image Inpainting with Frequency Domain Wavelet Convolution

引用

IEEE visual communications and image processing (VCIP)

作者： Jain-Kai Huang Tsung-Jung Liu Kuan-Hsien Liu Dept. of Computer Science and Engineering National Chung Hsing University Taiwan Dept. of Electrical Engineering Graduate Institute of Communication Engineering National Chung Hsing University Taiwan Dept. of Computer Science and Information Engineering National Taichung University of Science and Technology Taiwan

ISBN: (纸本)9781665475938

This paper used Time-Frequency Analysis (TFA) techniques for signal processing on tasks of computer vision. Our main idea is as follows: To build a simple network architecture without two or more convolutional neural networks (CNNs), ana-lyze hidden features by Discrete Wavelet Transform (DWT), and send them into filters as weights by convolutions, transformers or other methods. And we do not need to build the network with 2 or more stages to accomplish this idea. Actually, we try to directly use TFA skills on CNN to build one-stage network. Networks which build by this way not only keep their outstanding performance, but also cost lower computing resources. In this paper, we mainly use DWT on CNN to solve image inpainting problems. And the results show that our model can work stably in frequency domain to realize free-form image inpainting.

关键词： Time-frequency analysis Wavelet domain Convolution visual communication Computational modeling Transforms Transformers

来源：评论

学校读者我要写书评

暂无评论

An Improved image Super-Resolution Algorithm for Percutaneous Endoscopic Lumbar Discectomy 8th

An Improved Image Super-Resolution Algorithm for Percutaneo...

引用

8th International conference on Cognitive Systems and Information processing, ICCSIP 2023

作者： Li, Xue Zhou, Zihan Wang, Kaifeng Liu, Haiying Qian, Yalong Duan, Xingguang Li, Changsheng Beijing Institute of Technology 5 South Zhong Guan Cun Street Haidian District Beijing China The Department of Spinal Surgery Peking University People’s Hospital No. 11 Xizhimen South Street Xicheng District Beijing China

ISBN: (纸本)9789819980178

High-resolution (HR) spinal endoscopic images are essential to enhance the surgeon’s visual presence for the guidance of surgical procedures. However, available image super-resolution methods, especially deep learning methods, are mostly trained with open-source life scene datasets which possess limited medical image features. To address this issue, we have proposed an improved SRGAN model for the visual enhancement of percutaneous endoscopic lumbar discectomy (PELD) surgical images. Specifically, a residual dense block (RDB) and a dynamic RELU function are introduced. We validate the proposed method on PELD datasets. Quantitative and qualitative comparisons are carried out by comparing methods. The method proposed in this paper improves PSNR by 2.8% and SSIM by 6% compared with the original SRGAN, which proves the superiority of this methods. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Endoscopy

来源：评论

学校读者我要写书评

暂无评论

A Marked Point Process Model For visual Perceptual Groups Extraction

A Marked Point Process Model For Visual Perceptual Groups Ex...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Mbarki, Amal Naouai, Mohamed Univ Tunis EL MANAR Fac Sci Tunis Tunis Tunisia

ISBN: (纸本)9781728180687

Perceptual organization is the process of assigning each part of a scene to a specified association of features to be a part of the same organization. In the twenty century, Gestalt psychologists formalized how image features tend to be grouped by giving a set of organizing principles. In this paper, we propose an approach for the detection of perceptual groups in an image. We are mainly interested in features grouped by the proximity law of Gestalt. We conceive an object-based model within a stochastic framework using a marked point process (MPP). We use a Bayesian learning method to extract perceptual groups in a scene. The proposed model tested on synthetic images proves the efficient detection of perceptual groups in noisy images.

关键词： visual perception perceptual organisation image processing marked point process

来源：评论

学校读者我要写书评

暂无评论

High-Performance image visual Feature Detection and Matching

High-Performance Image Visual Feature Detection and Matching

引用

International conference on communications, Signal processing and VLSI, IC2SV 2019

作者： Sambamurthy, N. Kamaraju, M. Department of ECE Gudlavalleru Engineering College Gudlavalleru India

ISBN: (纸本)9789813340572

The fundamental task in high-speed and high-accuracy CCTV video surveillance system is attention-based image visual point detection and matching. The image viewpoints are different at different instants of time, so that the image recognition and matching systems are having large computational complexity. The designed work is to present an ROI-based SIFT image detection and BRIEF matching algorithms with a processing speed of 44 ns, and it meets the real-time requirement. The performance of the designed system is improved with a hybrid sorting-based median filter. These algorithms are able to establish accurate feature extraction and matching at 30fps for 640 Pixel video. This can be implemented using MATLAB and Xilinx tools. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Median filters

来源：评论

学校读者我要写书评

暂无评论

Frequency-aware Learned image Compression for Quality Scalability

Frequency-aware Learned Image Compression for Quality Scalab...

引用

IEEE visual communications and image processing (VCIP)

作者： Hyomin Choi Fabien Racapé Shahab Hamidi-Rad Mateen Ulhaq Simon Feltman Interdigital Emerging Technologies Lab Los Altos CA USA School of Engineering Science Simon Fraser University Burnaby BC Canada

ISBN: (纸本)9781665475938

Spatial frequency analysis and transforms serve a central role in most engineered image and video lossy codecs, but are rarely employed in neural network (NN)-based approaches. We propose a novel NN-based image coding framework that utilizes forward wavelet transforms to decompose the input signal by spatial frequency. Our encoder generates separate bitstreams for each latent representation of low and high frequencies. This enables our decoder to selectively decode bitstreams in a quality-scalable manner. Hence, the decoder can produce an enhanced image by using an enhancement bitstream in addition to the base bitstream. Furthermore, our method is able to enhance only a specific region of interest (ROI) by using a corresponding part of the enhancement latent representation. Our experiments demonstrate that the proposed method shows competitive rate-distortion performance compared to several non-scalable image codecs. We also showcase the effectiveness of our two-level quality scalability, as well as its practicality in ROI quality enhancement.

关键词： Wavelet transforms Training image coding Codecs visual communication Scalability Rate-distortion

来源：评论

学校读者我要写书评

暂无评论

A Privacy-Preserving and End-to-End-Based Encrypted image Retrieval Scheme

A Privacy-Preserving and End-to-End-Based Encrypted Image Re...

引用

IEEE visual communications and image processing (VCIP)

作者： Zhixun Lu Qihua Feng Peiya Li College of Information Science and Technology Jinan University Guangzhou China School of Computer Science and Technology Beijing Insitute of Technology Beijing China College of Cyber Security Jinan University Guangzhou China

ISBN: (纸本)9781665475938

Applying encryption technology to image retrieval can ensure the security and privacy of personal images. The related researches in this field have focused on the organic combination of encryption algorithm and artificial feature extraction. Many existing encrypted image retrieval schemes cannot prevent feature leakage and file size increase or cannot achieve satisfied retrieval performance. In this paper, a new end-to-end encrypted image retrieval scheme is presented. First, images are encrypted by using block rotation, new orthogonal transforms and block permutation during the JPEG compression process. Second, we combine the triplet loss and the cross entropy loss to train a network model, which contains gMLP modules, by end-to-end learning for extracting cipher-images' features. Compared with manual features extraction such as extracting color histogram, the end-to-end mechanism can economize on manpower. Experimental results show that our scheme has good retrieval performance, while can ensure compression friendly and no feature leakage.

关键词： Privacy image coding visual communication image retrieval Neural networks Transform coding Transforms

来源：评论

学校读者我要写书评

暂无评论

International Deployment of visual IoT for Disaster Mitigation

International Deployment of Visual IoT for Disaster Mitigati...

引用

Australasian Telecommunication Networks and Applications conference, ATNAC

作者： Ken T. Murata Kazutaka Kikuta Tsutomu Nagatsuma Hideo Imanaka Praphan Pavarangkoon National Institute of Information and Communications Technology Tokyo Japan School of Information Technology King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

This paper proposes a novel methodology that utilizes a newly developed visual Internet of Things (IoT) system for resilient natural disaster mitigation. This system enables the detection of disasters through remote control functions integrated with visual IoT sensors and artificial intelligence (AI)-based image processing of images captured by these sensors. The system is designed using commercial off-the-shelf (COTS) components to reduce installation costs, making it feasible for deployment worldwide, including in developing countries. In 2023, the proposal for this system was presented to the ITUD with the aim of widespread implementation in developing nations. The paper introduces innovative methodologies for visual IoT in international disaster mitigation, accompanied by use cases and detailed technological insights.

关键词：

来源：评论

学校读者我要写书评

暂无评论

6th International conference on Computer Vision and image processing, CVIP 2021

6th International Conference on Computer Vision and Image Pr...

引用

6th International conference on Computer Vision and image processing, CVIP 2021

ISBN: (纸本)9783031113451

The proceedings contain 97 papers. The special focus in this conference is on Computer Vision and image processing. The topics include: Automatic Classification of Sedimentary Rocks Towards Oil Reservoirs Detection;signature2Vec - An Algorithm for Reference Frame Agnostic Vectorization of Handwritten Signatures;leaf Segmentation and Counting for Phenotyping of Rosette Plants Using Xception-style U-Net and Watershed Algorithm;fast and Secure Video Encryption Using Divide-and-Conquer and Logistic Tent Infinite Collapse Chaotic Map;visual Localization Using Capsule Networks;detection of Cataract from Fundus images Using Deep Transfer Learning;brain Tumour Segmentation Using Convolution Neural Network;signature Based Authentication: A Multi-label Classification Approach to Detect the Language and Forged Sample in Signature;a Data-Set and a Real-Time Method for Detection of Pointing Gesture from Depth images;Deep-TDRS: An Integrated System for Handwritten Text Detection-Recognition and Conversion to Speech Using Deep Learning;VISION HELPER: CNN Based Real Time Navigator for the visually Impaired;structure-Texture Decomposition-Based Enhancement Framework for Weakly Illuminated images;low Cost Embedded Vision System for Location and Tracking of a Color Object;towards Label-Free Few-Shot Learning: How Far Can We Go?;AB-net: Adult- Baby Net;Polarimetric SAR Classification: Fast Learning with k-Maximum Likelihood Estimator;Leveraging Discriminative Cues for Masked Face Recognition in Post COVID World;pretreatment Identification of Oral Leukoplakia and Oral Erythroplakia Metastasis Using Deep Learning Neural Networks;soft Biometric Based Person Retrieval for Burglary Investigation;a Deep Learning Framework for the Classification of Lung Diseases Using Chest X-Ray images;computer Aided Diagnosis of Autism Spectrum Disorder Based on Thermal Imaging;scene Graph Generation with Geometric Context;deep Color Spaces for Fingerphoto Presentation Attack Detection in Mobile Devices;can

关键词：

来源：评论

学校读者我要写书评

暂无评论

Machine Vision Based Fruit Classification and Grading—A Review 4th

Machine Vision Based Fruit Classification and Grading—A Rev...

引用

4th International conference on communications and Cyber-Physical Engineering, ICCCE 2021

作者： Chaudhari, Dipali Waghmare, Surendra G.H. Raisoni College of Engineering and Management Wagholi Pune India

ISBN: (纸本)9789811679841

The appearance or external features is one of the important aspect, it impacts the consumer’s market value, desires, and choice but also, to a certain degree, its internal consistency. Color, texture, size, shape, and visual faults are commonly addressed while evaluating the external quality of food. Manually managing the external quality of fruit is possible, but it takes time and effort. For decades, computer vision technologies have been widely employed in the food business for automated external quality management, and they have proven to be a scientific and useful tool. Based on image processing investigations, the application of machine and computer vision approaches in external fruit quality control has been described. This paper provides a detailed description of the fruit detection and classification procedure. The typical characteristics of fruits such as color, shape, and texture are presented with specific extraction techniques such as SURF, HoG, and LBP. ML methods like KNN, SVM, and CNN are also discussed. The approach, benefits, drawbacks, and challenges of fruit classification and grading are explored in this study. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

Recurrent Network with Enhanced Alignment and Attention-Guided Aggregation for Compressed Video Quality Enhancement

Recurrent Network with Enhanced Alignment and Attention-Guid...

引用

IEEE visual communications and image processing (VCIP)

作者： Xiaodi Shi Jucai Lin Dong Jiang Chunmei Nian Jun Yin Zhejiang Dahua Technology Co. Ltd Zhejiang Provincial Key Laboratory of Harmonized Application of Vision & Transmission Hangzhou China

ISBN: (纸本)9781665475938

Recently, various compressed video quality enhancement technologies have been proposed to overcome the visual artifacts. Most existing methods are based on optical flow or deformable alignment to explore the spatiotemporal information across frames. However, inaccurate motion estimation and training instability of deformable convolution would be detrimental to the reconstruction performance. In this paper, we design a bi-directional recurrent network equipping with enhanced deformable alignment and attention-guided aggregation to promote information flows among frames. For the alignment, a pair of scale and shift parameters are learned to modulate optical flows into new offsets for deformable convolution. Furthermore, an attention aggregation strategy oriented at preference is designed for temporal information fusion. The strategy synthesizes global information of inputs to modulate features for effective fusion. Extensive experiments have proved that the proposed method achieves great performance in terms of quantitative performance and qualitative effect.

关键词： Training visualization image coding Convolution visual communication Motion estimation Quality assessment

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 << < 70 71 72 73 74 75 76 77 78 79 > >>

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：