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

8,301 篇 会议
375 篇 期刊文献
20 篇 学位论文
6 册 图书

馆藏范围

8,702 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

5,311 篇 工学
- 3,206 篇 计算机科学与技术...
- 1,748 篇 电气工程
- 1,745 篇 软件工程
- 1,304 篇 信息与通信工程
- 513 篇 控制科学与工程
- 508 篇 机械工程
- 446 篇 电子科学与技术（可...
- 420 篇 光学工程
- 313 篇 仪器科学与技术
- 219 篇 安全科学与工程
- 204 篇 生物医学工程（可授...
- 141 篇 交通运输工程
- 124 篇 生物工程
- 112 篇 材料科学与工程（可...
- 94 篇 测绘科学与技术
- 93 篇 航空宇航科学与技...
- 68 篇 土木工程
- 60 篇 化学工程与技术
1,917 篇 理学
- 1,339 篇 物理学
- 461 篇 数学
- 147 篇 生物学
- 127 篇 系统科学
- 115 篇 统计学（可授理学、...
- 67 篇 化学
1,379 篇 医学
- 1,316 篇 临床医学
- 108 篇 特种医学
- 48 篇 基础医学(可授医学...
385 篇 管理学
- 276 篇 管理科学与工程(可...
- 114 篇 图书情报与档案管...
- 74 篇 工商管理
52 篇 法学
27 篇 经济学
26 篇 教育学
25 篇 农学
22 篇 军事学
19 篇 艺术学
13 篇 文学

主题

1,048 篇 image processing
682 篇 cameras
630 篇 streaming media
525 篇 real time system...
491 篇 real-time system...
443 篇 image segmentati...
387 篇 image coding
311 篇 object detection
311 篇 pixel
289 篇 image edge detec...
277 篇 video coding
268 篇 feature extracti...
260 篇 motion estimatio...
249 篇 hardware
242 篇 image color anal...
187 篇 computer archite...
177 篇 video compressio...
174 篇 field programmab...
164 篇 video sequences
159 篇 video

机构

16 篇 school of commun...
13 篇 institute of inf...
9 篇 changchun instit...
9 篇 center for signa...
8 篇 tsinghua univ de...
8 篇 univ chinese aca...
7 篇 heinrich hertz i...
7 篇 chinese acad sci...
7 篇 school of inform...
7 篇 changchun instit...
6 篇 beijing key labo...
6 篇 univ pisa dept i...
6 篇 imec leuven
6 篇 brandenburg univ...
6 篇 shanghai jiao to...
6 篇 hewlett packard ...
6 篇 stanford univ st...
6 篇 electrical and c...
5 篇 microsoft corp r...
5 篇 tampere univ ult...

作者

17 篇 wang qi
14 篇 grecos christos
13 篇 li li
12 篇 saponara sergio
9 篇 gohshi seiichi
9 篇 nightingale jame...
9 篇 liang-gee chen
9 篇 ponomaryov volod...
9 篇 de with peter h....
8 篇 zhang hong
8 篇 satoshi goto
8 篇 chien shao-yi
8 篇 van der schaar m
7 篇 amer aishy
7 篇 luciano agostini
7 篇 agostini luciano
7 篇 marcelo porto
7 篇 h. radha
7 篇 song li
7 篇 li bing

语言

8,481 篇 英文
149 篇 中文
52 篇 其他
17 篇 土耳其文
2 篇 西班牙文
1 篇 葡萄牙文
1 篇 俄文

检索条件"任意字段=Conference on Real-Time Image and Video Processing 2010"

共 8702 条记录，以下是81-90 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：

Design of a 3D Digital Product Based on DSP real time video Transmission 1

Design of a 3D Digital Product Based on DSP Real Time Video ...

引用

1st IEEE International conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Liu, Yuge Kim, KieSu College of Design Silla University Busan Korea Republic of

ISBN: (纸本)9798350316469

image recognition and processing technology is an important application direction of artificial intelligence technology. With the growth of demand for various types of video intelligent analysis, the importance of using multiple models and artificial intelligence technology for image recognition and video analysis has become increasingly prominent. This article delves into the multi object tracking technology in image and video processing, and based on image object detection and recognition algorithms and DSP technology, real time tracking of products in the production workshop, combined with 3D hybrid modeling technology to create corresponding product models, digitize the produced products, and provide feedback on specific product data. Providing data and graphics support for later analysis of product conformity and understanding of product conditions, improving workshop production efficiency. © 2023 IEEE.

关键词： 3D modeling DSP technology image recognition product digitization

来源：评论

学校读者我要写书评

暂无评论

HDRFlow: real-time HDR video Reconstruction with Large Motions

HDRFlow: Real-Time HDR Video Reconstruction with Large Motio...

引用

IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Xu, Gangwei Wang, Yujin Gu, Jinwei Xue, Tianfan Yang, Xin Huazhong Univ Sci & Technol Sch EIC Wuhan Peoples R China Shanghai AI Lab Shanghai Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9798350353006

Reconstructing High Dynamic Range (HDR) video from image sequences captured with alternating exposures is challenging, especially in the presence of large camera or object motion. Existing methods typically align low dynamic range sequences using optical flow or attention mechanism for deghosting. However, they often struggle to handle large complex motions and are computationally expensive. To address these challenges, we propose a robust and efficient flow estimator tailored for real-time HDR video reconstruction, named HDRFlow. HDRFlow has three novel designs: an HDR-domain alignment loss (HALoss), an efficient flow network with a multi-size large kernel (MLK), and a new HDR flow training scheme. The HALoss supervises our flow network to learn an HDR-oriented flow for accurate alignment in saturated and dark regions. The MLK can effectively model large motions at a negligible cost. In addition, we incorporate synthetic data, Sintel, into our training dataset, utilizing both its provided forward flow and backward flow generated by us to supervise our flow network, enhancing our performance in large motion regions. Extensive experiments demonstrate that our HDRFlow outperforms previous methods on standard benchmarks. To the best of our knowledge, HDRFlow is the first real-time HDR video reconstruction method for video sequences captured with alternating exposures, capable of processing 720p resolution inputs at 25ms. Project website: https://***/HDRFlow/.

关键词： HDR video Optical Flow

来源：评论

学校读者我要写书评

暂无评论

6th IEEE International conference on image processing, Applications and Systems, IPAS 2025 - Proceedings

6th IEEE International Conference on Image Processing, Appli...

引用

6th IEEE International conference on image processing, Applications and Systems, IPAS 2025

ISBN: (纸本)9798331506520

The proceedings contain 86 papers. The topics discussed include: robust real-time monitoring of complex human activities using multi modal video analytics;a robust approach for classifying laparoscopic video distortions using ResNet-50;enhancing x-ray image classification through neural architecture;revolutionary MRI imaging for Alzheimer’s: cutting-edge GANs and vision transformer solutions;advanced deep learning strategies for breast cancer image analysis;identifying surgical instruments in pedagogical cataract surgery videos through an optimized aggregation network;enhancing auxiliary cancer classification task for multi-task breast ultrasound diagnosis network;and bioinspired computer vision for effective extended reality applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Bidirectional Temporal Fusion video Denoising Based on W-Net 7

Bidirectional Temporal Fusion Video Denoising Based on W-Net

引用

7th International conference on video and image processing, ICVIP 2023

作者： Li, Derui Zhang, Haikun Hu, Yueli Shanghai University School of Mechatronic Engineering and Automation Department of Electrical Engineering Shanghai China

ISBN: (纸本)9798400709388

The paper provided a brief analysis of video denoising characteristics, discussed and analyzed various existing video denoising methods, and proposed a new video denoising algorithm based on bidirectional time fusion and the W-Net architecture, designed to meet the requirements of real-time video denoising. This algorithm effectively combines past and future information, increases the temporal receptive field, and reduces memory usage. Additionally, by selecting a deeper W-Net backbone network, the algorithm achieves high-fidelity real-time video denoising. Comparative analysis with other video denoising models demonstrated that this approach outperforms others in terms of fidelity. © 2023 Copyright held by the owner/author(s).

关键词： video signal processing

来源：评论

学校读者我要写书评

暂无评论

real-time video Denoising Acceleration Using Pixel Shuffle and FP16 16th

Real-Time Video Denoising Acceleration Using Pixel Shuffle a...

引用

16th International conference on Genetic and Evolutionary Computing, ICGEC 2024

作者： Masuko, Riku Sugiura, Yosuke Shimamura, Tetsuya Graduate School of Science and Engineering Saitama University Shimo-Okubo 255 Sakura-ku Saitama-Shi Saitama338-8570 Japan

ISBN: (纸本)9789819615346

When capturing videos with cameras, noise can occur due to variations in lighting conditions, movements of subjects or cameras, and the quality of camera sensors. The presence of noise complicates object detection and tracking. To mitigate these issues, video denoising techniques have been developed. Numerous video denoising techniques have been proposed, with convolutional neural networks (CNNs) being predominant in recent years. While CNN-based methods achieve high accuracy in video denoising, they often lack causality because they utilize temporal information from the next frame as well as the current frame, which poses challenges for real-time processing without degrading image quality. Therefore, in this paper, we propose a new architecture that enhances processing speed by improving the Efficient Multi-stage video Denoising (EMVD), which is of the state-of-the-art video denoising methods. Through experiments, it was demonstrated that the proposed method reduced the computation time by approximately 75% while limiting the accuracy degradation to 0.7% compared to conventional methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Sport Safety Enhancement: A Novel Approach with Monitoring Matrix-Based image Acquisition and Analysis 2

Sport Safety Enhancement: A Novel Approach with Monitoring M...

引用

2nd International conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Zhang, Xinyi Shandong Management University Department of Physical Education Jinan250357 China

ISBN: (纸本)9798331505745

With the development of video array imaging technology, the accuracy and stability of video image acquisition have been improved. In this situation, this study proposes novel approach with monitoring matrix-based image acquisition and analysis for sport safety enhancement. This study includes the following four major innovations 1) Developed an image acquisition system based on a monitoring matrix, which can accurately capture the facial information of athletes through array imaging mode;2) Proposed a new facial feature extraction algorithm, which realizes real-time analysis of facial images by fusing EAR and MAR features;3) Proposed an improved expression recognition algorithm, and the improved activation function optimizes the expression recognition network to accurately identify the facial expressions of athletes;4) Designed an image classification algorithm, and the 8 -pixel average mode is used for fuzzy information processing, so as to provide real-time warning information about the physical condition of athletes through the expression data. The experimental results show that the proposed method has satisfactory recognition accuracy on the Cambridge University Computer Laboratory's facial expression data set, and can accurately provide early warning of the athlete's status. © 2025 IEEE.

关键词： Sports

来源：评论

学校读者我要写书评

暂无评论

A Framework for video Based Sign Language Interpretation Using Machine Learning and Statistical Methods 4

A Framework for Video Based Sign Language Interpretation Usi...

引用

4th International conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Swathi, D. Susmetha, K. Sreeji, S. Mangairkarasi, S. B.E Computer Science and Engineering with Data Science Sathyabama Institute of Science and Technology Semmancheri TamilNadu Chennai600119 India Sathyabama Institute of Science and Technology Semmancheri Department of Computer Science and Engineering TamilNadu Chennai6001109 India

ISBN: (纸本)9798331523923

The Sign Language Recognition System has been designed to capture video input, process it to detect hand gestures, and translate these gestures into readable text. The project consists of several key components and steps: video processing: Using OpenCV, the system captures frames from the video input. MediaPipe processes these frames to detect and track hand landmarks in real time. OpenCV capabilities allow for efficient frame extraction and basic image processing tasks such as resizing and normalization. Hand Detection and Tracking: MediaPipe pre-trained models identify and track hand movements within the video frames. The accurate detection and tracking of the hand movements are critical for the subsequent recognition of the sign language gestures. Sign Language Recognition: The core system is the deep learning model, trained using the TensorFlow and Keras on a dataset of sign language gestures. The model learns to classify the detected hand movements into corresponding sign language characters or words. Convolutional Neural Networks (CNNs) are typically used for task due to their effectiveness in image recognition tasks. Text Display: Once the system recognizes the signs, it converts them into text and displays the output. This can be done through a console output or a graphical user interface (GUI) built with Tkinter. The GUI provides a user friendly experience, allowing users to see the translated text in real-time. © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

International conference on Computer Vision and image processing, CVIP 2024

International Conference on Computer Vision and Image Proces...

引用

2024 International conference on Computer Vision and image processing, CVIP 2024

ISBN: (纸本)9781510688384

The proceedings contain 39 papers. The topics discussed include: a zero-reference nighttime road image enhancement method;SFPCDDFuse: an enhanced CDDFUSE infrared and visible image fusion model;recognition of side-scan sonar images under long-tail distribution;comparison of different masking strategies of MAE;real-time traffic sign recognition for driving: a hybrid approach integrating efficient Mamba models with dilated convolution;Mask R-CNN-based method for recognizing external breakage of transmission lines;light-aware luminance adaptive enhancement network for RGBT video object detection;and wireless multi-path VR audio and video file synchronous transmission technology based on two-way transmission.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An SoC FPGA-based Integrated real-time image Processor for Uncooled Infrared Focal Plane Array 26

An SoC FPGA-based Integrated Real-time Image Processor for U...

引用

26th Euromicro conference on Digital System Design (DSD) / 49th Euromicro conference on Software Engineering and Advanced Applications (SEAA)

作者： Oh, Hyun Woo Choi, Cheol-Ho Cha, Jeong Woo Choi, Hyunmin Han, Joon Hwan Shin, Jung-Ho Infra Technol R&D Ctr Hanwha Syst Seongnam South Korea

ISBN: (纸本)9798350344196

This paper presents an integrated image processor architecture designed for real-time interfacing and processing of high-resolution thermal video obtained from an uncooled infrared focal plane array (IRFPA) utilizing a modern system-on-chip field-programmable gate array (SoC FPGA). Our processor provides a one-chip solution for incorporating non-uniformity correction (NUC) algorithms and contrast enhancement methods (CEM) to be performed seamlessly. We have employed NUC algorithms that utilize multiple coefficients to ensure robust image quality, free from ghosting effects and blurring. These algorithms include polynomial modeling-based thermal drift compensation (TDC), two-point correction (TPC), and run-time discrete flat field correction (FFC). To address the memory bottlenecks originating from the parallel execution of NUC algorithms in real-time, we designed accelerators and parallel caching modules for pixel-wise algorithms based on a multi-parameter polynomial expression. Furthermore, we designed a specialized accelerator architecture to minimize the interrupted time for run-time FFC. The implementation on the XC7Z020CLG400 SoC FPGA with the QuantumRed VR thermal module demonstrates that our image processing module achieves a throughput of 60 frames per second (FPS) when processing 14-bit 640x480 resolution infrared video acquired from an uncooled IRFPA.

关键词： thermal imaging infrared camera image processor architecture non-uniformity correction uncooled infrared focal plane array

来源：评论

学校读者我要写书评

暂无评论

real-time Automated Pothole Detection and Localization with Deep Learning and Geolocation Integration for Improved Road Safety and Maintenance 4th

Real-Time Automated Pothole Detection and Localization with ...

引用

4th International conference on Advanced Network Technologies and Intelligent Computing-ANTIC-Annual

作者： Rao, Abhishek S. Karthik, Pai B. H. Shyvalanai, B. S. Nayak, Trupthi D. Vaishnavi, R. Thanisha NITTE NMAM Inst Technol NMAMIT Dept Informat Sci & Engn Nitte 574110 Karnataka India

ISBN: (纸本)9783031837920;9783031837937

real-time identification of road damage, particularly potholes, is essential for enhancing road safety and minimizing vehicle damage. Traditional road inspection methods are often labor-intensive and inefficient. To overcome these limitations, we propose an automated system that leverages deep learning to detect potholes in real-time from video input. This system can detect potholes under varying lighting conditions, specifically the YOLO (You Only Look Once) model, utilizing advanced computer vision techniques, including daylight, darkness, and vehicle headlights. The system aims to improve road monitoring by automatically identifying potholes and notifying authorities of their locations. By integrating geolocation services, the system pinpoints pothole locations using latitude and longitude coordinates and sends real-time alerts via a Telegram bot. Additionally, image enhancement techniques are employed to optimize detection performance in low-light conditions. The system has demonstrated high accuracy in detecting large potholes and identifying multiple potholes within a single frame. Through automated pothole detection and location sharing, this solution has the potential to significantly enhance road maintenance efficiency, thereby improving road safety and reducing accidents caused by road damage.

关键词： Pothole Detection real-time video processing Deep Learning Computer Vision Low-light image Enhancement

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 << < 5 6 7 8 9 10 11 12 13 14 > >>

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：