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

8,271 篇 会议
383 篇 期刊文献
19 篇 学位论文
11 册 图书
3 篇 资讯

馆藏范围

8,687 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,380 篇 工学
- 3,221 篇 计算机科学与技术...
- 1,797 篇 电气工程
- 1,720 篇 软件工程
- 1,344 篇 信息与通信工程
- 590 篇 机械工程
- 533 篇 控制科学与工程
- 462 篇 电子科学与技术（可...
- 450 篇 光学工程
- 349 篇 仪器科学与技术
- 208 篇 安全科学与工程
- 199 篇 生物医学工程（可授...
- 162 篇 交通运输工程
- 146 篇 材料科学与工程（可...
- 132 篇 生物工程
- 94 篇 航空宇航科学与技...
- 81 篇 测绘科学与技术
- 69 篇 化学工程与技术
- 63 篇 土木工程
1,966 篇 理学
- 1,381 篇 物理学
- 463 篇 数学
- 159 篇 系统科学
- 141 篇 生物学
- 110 篇 统计学（可授理学、...
- 75 篇 化学
1,370 篇 医学
- 1,297 篇 临床医学
- 113 篇 特种医学
378 篇 管理学
- 275 篇 管理科学与工程(可...
- 107 篇 图书情报与档案管...
- 78 篇 工商管理
54 篇 法学
- 49 篇 社会学
29 篇 农学
28 篇 经济学
23 篇 教育学
20 篇 艺术学
15 篇 文学
15 篇 军事学

主题

1,025 篇 image processing
707 篇 cameras
612 篇 streaming media
503 篇 real time system...
495 篇 real-time system...
443 篇 image segmentati...
380 篇 image coding
298 篇 image edge detec...
295 篇 object detection
278 篇 image color anal...
253 篇 video coding
253 篇 feature extracti...
251 篇 motion estimatio...
240 篇 hardware
217 篇 pixel
193 篇 computer archite...
182 篇 graphics process...
175 篇 field programmab...
167 篇 video compressio...
160 篇 visualization

机构

14 篇 school of commun...
12 篇 beijing key labo...
10 篇 institute of inf...
8 篇 univ chinese aca...
8 篇 center for signa...
7 篇 heinrich hertz i...
7 篇 tsinghua univ de...
7 篇 chinese acad sci...
7 篇 microsoft res as...
7 篇 department of co...
6 篇 univ pisa dept i...
6 篇 microsoft resear...
6 篇 eindhovan univer...
6 篇 imec leuven
6 篇 school of inform...
6 篇 hewlett packard ...
6 篇 electrical and c...
5 篇 tsinghua univers...
5 篇 beijing inst tec...
5 篇 tampere univ ult...

作者

18 篇 wang qi
14 篇 grecos christos
12 篇 li li
11 篇 saponara sergio
10 篇 nightingale jame...
9 篇 gohshi seiichi
9 篇 cheung gene
8 篇 li ying
8 篇 zhang hong
8 篇 satoshi goto
8 篇 takaki takeshi
8 篇 ponomaryov volod...
7 篇 amer aishy
7 篇 luciano agostini
7 篇 agostini luciano
7 篇 wang chunping
7 篇 chien shao-yi
7 篇 sarmiento r
7 篇 radha h
7 篇 liang-gee chen

语言

8,444 篇 英文
167 篇 中文
52 篇 其他
19 篇 土耳其文
3 篇 葡萄牙文
2 篇 西班牙文
1 篇 俄文

检索条件"任意字段=Conference on Real-Time Image and Video Processing 2011"

共 8687 条记录，以下是31-40 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：

Adaptive real-time video Transmission through Underwater Acoustic Communication Link

Adaptive Real-Time Video Transmission through Underwater Aco...

引用

OCEANS conference

作者： Wu, Jie Fu, Yanbing Li, Jingxuan Qu, Fengzhong Wei, Yan Zhejiang Univ Key Lab Ocean Observat Imaging Testbed Zhejiang P Zhoushan 31600 Peoples R China Minist Educ Engn Res Ctr Ocean Sensing Technol & Equipment Zhoushan 31600 Peoples R China Zhejiang Univ Hainan Inst Sanya 572025 Peoples R China

ISBN: (纸本)9798350362077

Efficient video transmission enables a wide range of applications in underwater environments, such as seabed survey, subsea equipment maintenance, oil pipe/bridge inspection, and marine life sample collection. At present, it is a common belief that real-time underwater video transmission through underwater acoustic communication is challenging due to the influence of complex underwater environments and the limitation of underwater acoustic communication. In this paper, we propose an adaptive real-time underwater video transmission system using underwater communication. The system consists of three modules, i.e, video pre-processing module, video transmission module and video post-processing module. In the first two modules, the sender adaptively adjusts the compression bitrate and transmission rate according to the video quality and channel conditions. In the third module, the deep learning-based video reconstruction algorithm for underwater image information recovery is exploited. The efficacy of this system is verified by real underwater videos collected in several sea fields. The results prove the proposed system is able to transmit video successfully and efficiently in the underwater environment.

关键词： underwater video transmission underwater acoustic communication video super-resolution reconstruction video compressing

来源：评论

学校读者我要写书评

暂无评论

MULTIPLE DESCRIPTION video CODING FOR real-time APPLICATIONS USING HEVC 30

MULTIPLE DESCRIPTION VIDEO CODING FOR REAL-TIME APPLICATIONS...

引用

30th IEEE International conference on image processing (ICIP)

作者： Trung Hieu Le Antonini, Marc Lambert, Marc Alioua, Karima Cote dAzur Univ I3S Lab Sophia Antipolis France CNRS UMR 7271 Sophia Antipolis France LEXTAN SAS Gemenos France

ISBN: (纸本)9781728198354

Remote control vehicles require the transmission of large amounts of data, and video is one of the most important sources for the driver. To ensure reliable video transmission, the encoded video stream is transmitted simultaneously over multiple channels. However, this solution incurs a high transmission cost. To address this issue, it is necessary to use more efficient video encoding methods that can make the video stream robust to noise. Moreover it should have a less complexity to adapt to the real time requirement. In this paper, we propose a low-complexity, low-latency 2-channel Multiple Description Coding (MDC) solution with an adaptive Instantaneous Decoder Refresh (IDR) frame period, which is compatible with the HEVC standard with adaptive redundancy adjustment. This method shows a better resistance to high packet loss rates with lower complexity.

关键词： Multiple Description coding HEVC Error Correction

来源：评论

学校读者我要写书评

暂无评论

A Method of video Fire Smoke image Recognition Based on Computer Automatic Location

A Method of Video Fire Smoke Image Recognition Based on Comp...

引用

International conference on Smart Applications and Sustainability in the Artificial Intelligence of Things, SAS-AIoT 2024

作者： Tian, Zhijia Wu, Xiaochuan Sha, Shuang Ministry of Emergency Management Shenyang Fire Research Institute Liaoning Shenyang110034 China

ISBN: (纸本)9783031782756

Fire smoke needs early detection and accurate identification, so as to protect people's lives and property, while manual control method has problems such as large time consumption, subjective misjudgment, so an efficient, accurate and real-time fire smoke image recognition method is needed. In this paper, a method of video fire smoke image recognition is proposed based on computer automatic location algorithm, computer vision and image processing technology, combined with optimized algorithms and high performance hardware. Through real-time processing and analysis of video frames, the method can quickly and accurately locate the fire smoke area, and realize real-time monitoring and alarm. After experimental testing, it is found that the accuracy of the proposed method is between 94% and 99%, maintaining a high accuracy. The method has high-speed processing capability and automatic characteristics, and can quickly analyze a large number of video image data and accurately locate the fire smoke area. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Digital storage

来源：评论

学校读者我要写书评

暂无评论

Enhancing Dental Bitewing Radiograph Datasets: A Preprocessing Approach for AI Detection and Diagnoses

Enhancing Dental Bitewing Radiograph Datasets: A Preprocessi...

引用

conference on real-time processing of image, Depth, and video Information

作者： Al Nassan, Wafaa Bonny, Talal Al-Shabi, Mohammad Univ Sharjah Coll Comp & Informat Sharjah U Arab Emirates Univ Sharjah Coll Engn Sharjah U Arab Emirates

ISBN: (纸本)9781510673199;9781510673182

Background: The evolution of AI applications in dental imaging, covering caries detection, anatomical structure segmentation, and pathology identification, highlights the importance of high-quality datasets for effective detection models. This paper focuses on optimizing dataset quality for real-time AI-based dental bitewing radiograph detection. Methods: We systematically analyze preprocessing methods suitable for dental bitewing radiographs, covering image enhancement, noise reduction, and contrast adjustment. These techniques are strategically chosen to address common challenges in dental radiograph images, including variations in lighting, contrast disparities, and noise fluctuations. We employ optimized algorithms to meet real-time constraints, ensuring efficient model training and inference. Results: Our study assesses the impact of each preprocessing step on dataset quality and its influence on AI model performance. Practical recommendations are provided to empower researchers and practitioners in creating datasets optimized for dental bitewing radiograph detection tasks, aiming to improve AI model accuracy while adhering to real-time requirements. In addition, a comparative analysis is conducted, evaluating datasets enhanced using conventional methods against the ResNet18 model for the segmentation of bitewing dental images. Conclusion: This paper serves as a valuable guide for the dental imaging community, offering insights into preprocessing steps that elevate dataset quality for AI-driven dental bitewing radiograph detection. By emphasizing the relevance of real-time performance and providing a comparison with conventional enhancements on the ResNet18 model, we contribute to advancing early diagnosis and enhancing oral healthcare outcomes.

关键词： image processing real-time bitewing dental images Resnet 18

来源：评论

学校读者我要写书评

暂无评论

real-time Deep Learning-Based Object Recognition in Augmented reality

Real-Time Deep Learning-Based Object Recognition in Augmente...

引用

conference on real-time processing of image, Depth, and video Information

作者： Egipko, V Zhdanova, M. Gapon, N. Voronin, V. Semenishchev, E. Moscow State Univ Technol STANKIN Ctr Cognit Technol & Machine Vis Moscow Russia Don State Tech Univ Rostov Na Donu Russia

ISBN: (纸本)9781510673199;9781510673182

Augmented reality is a visualization technology that displays information by adding virtual images to the real world. Effective implementation of augmented reality requires recognition of the current scene. Identifying objects in real-time video on computationally limited hardware requires significant effort. One way to solve this problem is to create a hybrid system that, based on machine learning and computer vision technology, processes and analyzes visual data to identify and classify real-world objects. The proposed architecture is based on a combination of the Vuforia augmented system, which provides good performance by balancing prediction accuracy and efficiency. First, the Vuforia neural network architecture allows convenient interaction with AR in Unity and provides initial conditions for detecting 3D objects. The augmented reality construction algorithm is based on the ARCore framework and the OpenGL interface for embedded systems. The system integrates recognition data with an AR platform to display corresponding 3D models, allowing users to interact with them through the functionality of the AR application. This method also involves the development of an enhanced user interface for AR, making the augmented environment more accessible for navigation and control. Experimental research has shown that the proposed method significantly improves the accuracy of object recognition and the ease of working with 3D models in AR.

关键词： deep learning augmented reality computer vision object recognition robotic systems real-time processing

来源：评论

学校读者我要写书评

暂无评论

BMT-BENCH: A BENCHMARK SPORTS DATASET FOR video GENERATION 31

BMT-BENCH: A BENCHMARK SPORTS DATASET FOR VIDEO GENERATION

引用

2024 International conference on image processing

作者： Shi, Ziang Xiao, Yang Yan, Da Min-Te-Sun Ku, Wei-Shinn Hui, Bo Columbia Univ New York NY 10027 USA Nankai Univ Tianjin Peoples R China Indiana Univ Bloomington IN USA Auburn Univ Auburn AL 36849 USA Natl Cent Univ Taoyuan Taiwan Univ Tulsa Tulsa OK 74104 USA

ISBN: (纸本)9798350349405;9798350349399

In recent years, there has been a growing interest among researchers and scholars in the analysis of sports activities, driven by the advancements of machine learning and the increased availability of public data. However, there remains a scarcity of comprehensive sports video datasets that possess the necessary attributes to address various research tasks effectively. We present the "Badminton Benchmark" (BMT-BENCH) to facilitate reproducible machine learning research in the sports domain. This dataset comprises high-quality, high-speed video clips collected from official badminton tournaments involving two team players. The dataset is labeled and unlabeled, catering to different research problems such as video generation and real-time object detection. we feature a baseline system mainly for video generation tasks and provide a thorough evaluation of the challenges posed by the dataset's unique nature. The dataset is publicly accessible at https://***/drive/folders/1moYDb8tp5K-VDxPJU3sTorfYE7NnwVpf?usp=sharing and the baseline system is available at https://***/ziangshi/BMT_BENCH_baseline_repo.

关键词： Benchmark Dataset Badminton Sport Dataset video Generation Object Detection

来源：评论

学校读者我要写书评

暂无评论

The Design of the aeronautical satellite image and video emergent transmission system based on interference mitigation for artificial strong jamming and channel multiple fading 24

The Design of the aeronautical satellite image and video eme...

引用

International conference on Algorithms, Software Engineering, and Network Security (ASENS)

作者： Yu, Shiyun Shi, Wei Pan, Yahan Natl Univ Def Technol Res Inst 63 Nanjing 210001 Jiangsu Peoples R China Nanjng Telecommun Technol Inst Nanjing 210000 Jiangsu Peoples R China

ISBN: (纸本)9798400709784

The uncertainty of time and place is the characteristics of taking place of the emergent incidents in the land or sea. The aeronautical satellite image and video emergent transmission system has the characteristics of high speed in motion and wider service coverage area in geography. Therefore, the aeronautical satellite image and video emergent transmission system has a great advantage over other communication methods in emergent real time image and video transmission and incident rescuing as well as other remote commanding. To insure the performance of the aeronautical satellite image and video emergent transmission system under the environment of artificial strong jamming and fading, we propose a new design of the aeronautical satellite image and video emergent transmission system based on interference mitigation for artificial strong jamming and channel multiple fading and give the design of such transmission system. The application of the mitigation method based on the adaptive antenna array is expected the very effective to reduce the influence of the artificial strong jamming and fading on the performance of the aeronautical satellite image and video emergent transmission system.

关键词： The security information transmission The aeronautical satellite communications Emergent image and video processing and transmission Jamming mitigations Multiple antenna Adaptive array nulling

来源：评论

学校读者我要写书评

暂无评论

Road Intersection Analysis: Integrating image processing into Digital Twin Technologies

Road Intersection Analysis: Integrating Image Processing int...

引用

conference on real-time processing of image, Depth, and video Information

作者： Vdzquez Donaire, Francisco C. Abalo-Garcia, Alejandra Montemayor, Antonio S. Pantrigo, Juan J. Univ Rey Juan Carlos Calle Tulipan S-N Mostoles Spain

ISBN: (纸本)9781510673199;9781510673182

We present a real-time system for vehicle detection and classification in road intersections, incorporating image processing techniques. This system estimates the traffic flow at a specific point, as it is capable of recognizing the trajectories of different vehicles at an intersection, inferring whether they leave or enter the city. It is designed to be integrated into a high-fidelity digital twin, aiding in estimating environmental traffic pollutants. Since Computational Fluid Dynamics (CFD) use estimators like average or aggregate measurements, we use more accurate methods to estimate pollution. The implications of our study are significant for urban planning and traffic management. It allows for immediate decisions and informs long-term infrastructure planning by providing a deep understanding of intersection dynamics. Our research offers a comprehensive perspective on traffic analysis, introducing data-driven traffic management strategies for efficient urban mobility. The code developed for this purpose can be found in https://***/capo- urjc/TrackingSORT

关键词： deep learning digital twins traffic monitoring visual tracking

来源：评论

学校读者我要写书评

暂无评论

Vectorized Angular Intra Prediction for Practical VVC Encoding

Vectorized Angular Intra Prediction for Practical VVC Encodi...

引用

2024 conference on Visual Communications and image processing

作者： Siivonen, Kari Sainio, Joose Gautier, Guillaume Mercat, Alexandre Vanne, Jarno Tampere Univ Ultra Video Grp Tampere Finland

ISBN: (纸本)9798331529543;9798331529550

Versatile video Coding (VVC) provides new coding tools for more efficient intra prediction but with a substantial increase in computational complexity. This paper introduces vectorized kernels for 8-bit angular intra prediction and position dependent intra prediction combination (PDPC), which are carefully optimized for all block sizes and prediction modes of VVC. The proposed kernels streamline the filtering process and utilize optimized memory access patterns. Our standalone tests show that the proposed vectorization achieves speedups of 6.68x for luma and 4.40x for chroma predictions over scalar implementations. Integrating these kernels into the practical uvg266 VVC encoder provides speedups of 1.07x in the slowest configuration and 1.68x in the fastest configuration. The reported speedups are obtained without any coding overhead, so the proposed vectorization plays an integral role in pursuing real-time VVC coding with high coding efficiency.

关键词： Versatile video Coding (VVC) intra prediction vectorization practical encoder implementation

来源：评论

学校读者我要写书评

暂无评论

realtime Scene Enhancement of Low Light image/video 5

Realtime Scene Enhancement of Low Light Image/Video

引用

5th International conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2024

作者： Zeng, Huixia Xiao, Ping School of Electronic and Information Engineering Guangzhou City University of Technology Guangdong Guangzhou510800 China

ISBN: (纸本)9798350368284

The quality of image and videos plays a vital role in case of real-time systems. images are captured without sufficient illumination, lead to low dynamic range and high propensity for generating high noise levels. The processing ideas and networks of several mainstream low-light image enhancement neural network algorithms such as DRBN, DSLR, ZeroDCE, EnlightenGAN, as well as the key technologies used are compared and analyzed. In this paper, the EnglightenGAN neural network is used as the core image enhancement algorithm, and NVIDIA AGX Xavier equipment and video stream processing technology are used to achieve the entire process of video acquisition, video frame encoding, image enhancement processing, frame decoding, and video stream display. It can adapt to most low-light and dark scenes which has a good enhancement effect on video streams collected in low-light scenes. The real-time performance and image enhancement effect of the system achieved good results, with FPS reaching 10, SSIM reaching 0.51753, and PSNR reaching 27.89973. © 2024 IEEE.

关键词： video streaming

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 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：