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

4,253 篇 会议
65 篇 期刊文献
23 册 图书

馆藏范围

4,341 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,428 篇 工学
- 1,614 篇 计算机科学与技术...
- 1,167 篇 信息与通信工程
- 945 篇 软件工程
- 673 篇 电气工程
- 280 篇 光学工程
- 144 篇 电子科学与技术（可...
- 125 篇 生物工程
- 124 篇 控制科学与工程
- 88 篇 生物医学工程（可授...
- 79 篇 仪器科学与技术
- 68 篇 机械工程
- 43 篇 化学工程与技术
- 33 篇 网络空间安全
- 25 篇 动力工程及工程热...
- 25 篇 安全科学与工程
- 21 篇 测绘科学与技术
- 21 篇 轻工技术与工程
1,097 篇 医学
- 1,086 篇 临床医学
- 38 篇 基础医学(可授医学...
- 33 篇 药学(可授医学、理...
1,023 篇 理学
- 744 篇 物理学
- 350 篇 数学
- 135 篇 生物学
- 99 篇 统计学（可授理学、...
- 43 篇 化学
- 32 篇 系统科学
192 篇 管理学
- 109 篇 图书情报与档案管...
- 93 篇 管理科学与工程(可...
- 30 篇 工商管理
33 篇 法学
- 30 篇 社会学
12 篇 军事学
10 篇 文学
7 篇 教育学
6 篇 经济学
5 篇 农学
1 篇 历史学
1 篇 艺术学

主题

530 篇 image coding
459 篇 image processing
351 篇 visual communica...
307 篇 visualization
252 篇 feature extracti...
222 篇 image segmentati...
173 篇 image compressio...
167 篇 image reconstruc...
149 篇 video coding
146 篇 cameras
134 篇 training
132 篇 humans
124 篇 image quality
120 篇 image color anal...
111 篇 image enhancemen...
111 篇 signal processin...
111 篇 image retrieval
103 篇 image edge detec...
102 篇 decoding
98 篇 deep learning

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...
12 篇 institute for in...
12 篇 school of electr...
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 tsinghua univ de...
10 篇 institute of ima...
9 篇 zhejiang univers...
9 篇 smart computer v...
9 篇 xidian univ sch ...

作者

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

语言

4,251 篇 英文
66 篇 土耳其文
27 篇 中文
11 篇 其他
1 篇 法文

检索条件"任意字段=Conference on Visual Communications and Image Processing 2004"

共 4341 条记录，以下是4221-4230 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：

MVCD: Multi-Dimensional Video Compression Dataset

MVCD: Multi-Dimensional Video Compression Dataset

引用

IEEE visual communications and image processing (VCIP)

作者： Hadi Amirpour Mohammad Ghasempour Farzad Tashtarian Ahmed Telili Samira Afzal Wassim Hamidouche Christian Timmerer Christian Doppler Laboratory ATHENA Alpen-Adria-Universitat Klagenfurt Austria Technology Innovation Institute Masdar City Abu Dhabi UAE INSA Rennes CNRS Univ. Rennes Rennes France

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

In the field of video streaming, the optimization of video encoding and decoding processes is crucial for delivering high-quality video content. Given the growing concern about carbon dioxide emissions, it is equally necessary to consider the energy consumption associated with video streaming. Therefore, to take advantage of machine learning techniques for optimizing video delivery, a dataset encompassing the energy consumption of the encoding and decoding process is needed. This paper introduces a comprehensive dataset featuring diverse video content, encoded and decoded using various codecs and spanning different devices. The dataset includes 1000 videos encoded with four resolutions (2160p, 1080p, 720p, and 540p) at two frame rates (30fps and 60fps), resulting in eight unique encodings for each video. Each video is further encoded with four different codecs — AVC (libx264), HEVC (libx265), AV1 (libsvtav1), and VVC (VVenC) — at four quality levels defined by QPs of 22, 27, 32 and 37. In addition, for AV1, three additional QPs of 35, 46 and 55 are considered. We measure both encoding and decoding time and energy consumption on various devices to provide a comprehensive evaluation, employing various metrics and tools. Additionally, we assess encoding bitrate and quality using quality metrics such as PSNR, SSIM, MS-SSIM, and VMAF. All data and the reproduction commands and scripts have been made publicly available as part of the dataset, which can be used for various applications such as rate and quality control, resource allocation, and energy-efficient *** URL: https://***/cd-athena/MVCD.

关键词： Video coding Energy consumption image coding Quality control Streaming media Encoding Decoding Resource management Video codecs Optimization

来源：评论

学校读者我要写书评

暂无评论

Video Anomaly Detection Using Open Data Filter and Domain Adaptation

Video Anomaly Detection Using Open Data Filter and Domain Ad...

引用

IEEE visual communications and image processing (VCIP)

作者： Chen Zhang Guorong Li Li Su Weigang Zhang Qingming Huang School of Computer Science and Technology UCAS Beijing China Key Lab of Big Data Mining and Knowledge Management UCAS Beijing China Harbin Institute of Technology Weihai China Key Lab of Intelligent Information Processing ICT CAS Beijing China

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

Video anomaly detection is a very challenging task because of the rarity, openness, and the definition of the anomalies. Researchers pay more attention to the characteristics of anomalies and have proposed a variety of anomaly detection models. However, most existing methods only use normal events to construct anomaly detection models and ignore the diversity and openness of normal events. Actually, because real-world video data often have an open-ended distribution, some normal patterns hardly ever appeared in the training data. In addition, analogous to human experience in identifying anomalies, rare abnormal events can play a certain role in the detection of similar abnormal events in the dataset. Therefore, assuming that a small number of abnormal events are known, we propose a novel supervised anomaly detection model which explicitly detects open normal events and open abnormal events in the dataset and treats open data and seen data with different classifiers. First, we use the training video to train an imbalanced classifier as the seen data classifier. Then, during the testing phase, an open data filter module isused to divide the test data into seen data and open data. Finally, we directly use the seen data classifier to generate anomaly scores for the seen test data. For the open test data, we adopt a domain adaptation method to reduce the distribution difference between it and the training data and train a new classifier to score for it. Extensive experimental results prove the effectiveness of our model.

关键词： Training Training data Anomaly detection Feature extraction Data models Testing Adaptation models

来源：评论

学校读者我要写书评

暂无评论

Design of a multiple-target based automated camera repositioning system for integrating CCTV with video image vehicle detection systems

Design of a multiple-target based automated camera repositio...

引用

International conference on Intelligent Transportation

作者： H. Tanikella S. Namkoong B.L. Smith

visual traffic monitoring and quantitative traffic data collection are two important functions of a traffic management center. However, to date, these two functions are being carried out independently and combining the functions can provide a significant reduction in costs and efficiency of operation. Several attempts have been made to combine CCTV systems that handle traffic monitoring and VIVDS that perform traffic data collection. While most of these have found success in a laboratory environment they are not well suited for field adaptation. This paper presents a system design that is the revised version of a laboratory system design of a CCTV repositioning technique that makes it more suitable for field conditions.

关键词： Cameras Vehicle detection Condition monitoring Laboratories Detectors image processing image edge detection Computerized monitoring Cost function Fluid flow measurement

来源：评论

学校读者我要写书评

暂无评论

The boundless spaces of expanded multimedia

The boundless spaces of expanded multimedia

引用

International conference on Systems, Signals and image processing, IWSSIP

作者： Aleksandar Todorović University of the Arts Belgrade Serbia Mediterranean University Podgorica Montenegro

Back in 1970 Gene Youngblood published his book “Expanded Cinema”, undoubtedly one of the major milestones in the world of media theory. In the book he argues that during the late 1960 cinema and the whole complex of audiovisual media, reached a tipping point when the boundaries of the world of moving images broke down and a new visual reality emerged. That was the time when the videosphere appeared and the intermedia where born. Today, forty years later, we see another, somewhat similar event. The intermedia, which in the meantime evolved in multimedia, reached another “Seldon crisis point”, and we can witness how the whole complex of multimedia creation, processing, distribution and consumption is undergoing a radical change. That change shall profoundly modify the world of mass media communications. The boundaries that until now separated different mass media are becoming progressively blurred and in a not so distant future they might completely disappear creating thus just one big media industry. In a surrogate social environment lonely media consumers will exchange interaction for communication and try to escape the harsh reality by immersing themselves in infinite virtual worlds of the boundless expanded multimedia.

关键词： Multimedia communication Advertising image coding

来源：评论

学校读者我要写书评

暂无评论

A Deep Learning Based System for Automatic Sorting and Quality Grading of Citrus Fruits

A Deep Learning Based System for Automatic Sorting and Quali...

引用

International conference on Emerging Trends in Networks and Computer communications (ETNCC)

作者： Nidhi Kundu Sonam Geeta Rani Vijaypal Singh Dhaka Computer Science Sri Karan Narendra Agriculture University Jobner Jaipur India Computer Science Engg. Manipal University Jaipur Jaipur India Computer and Communication Engg. Manipal University Jaipur Jaipur India

ISBN: (数字)9798350353266

ISBN: (纸本)9798350353273

The citrus industry plays a pivotal role in the global agricultural sector, contributing significantly to the economy. Approximately 161 million tonnes of citrus fruits were produced worldwide. One third of the total production is used in processing industry. The price of citrus fruits is highly dependent on its quality parameters such as size, citrus color index, maturity index, diseases etc. Therefore, grading and sorting of citrus fruits based on the quality parameters is demand of the market to maximize the profit. Manual grading and sorting are labour-intensive, time-consuming, and often prone to human error. Automatic grading and sorting of citrus fruits can resolve the above-stated issues. In this paper, we utilize the pattern recognition and image processing potential of deep learning techniques and propose a deep learning based automated system to revolutionize the citrus fruits grading process. The system utilizes Convolutional Neural Networks (CNNs) to extract high-level features from lemon, orange images, allowing for accurate classification based on quality parameters such as size, color, and visual defects. We curated a dataset comprising diverse lemon, orange samples from Kaggle to evaluate the performance of the developed model. Additionally, our system incorporates real-time processing capabilities, ensuring a swift and continuous flow of fruits through the sorting process. Thus, it offers a robust and scalable solution for the citrus industry to enhance profit in the global citrus market.

关键词： Industries Deep learning visualization Accuracy image color analysis Real-time systems Convolutional neural networks Reliability Indexes Sorting

来源：评论

学校读者我要写书评

暂无评论

A Completed Gaussian Extended Binary Pattern for Texture image Classification 23

A Completed Gaussian Extended Binary Pattern for Texture Ima...

引用

Proceedings of the 2nd International conference on Signal processing, Computer Networks and communications

作者： Xiaochun Xu Weizheng Lin Dingrong Chen Nanling Su Leinuo Tang Changxu Cai College of Computer and Control Engineering Minjiang University China International Digital Economy College Minjiang University China

ISBN: (纸本)9798400716430

Texture image classification is a fundamental and challenging visual task and has wide range of applications. Binary pattern methods play an important role in texture feature extraction due to its ease of implementation and promising performance. To extract completed texture feature representation and improve the classification performance, this paper proposes a completed gaussian extend binary pattern for texture image classification. First, instead of the original pixel value, this paper uses the mean of local range to encode the binary pattern. Second, this paper introduces a novel gaussian sign pattern to fully represent the macro texture structure. Third, to achieve completed texture feature description, this paper presents a completed gaussian extended binary pattern, which combines the novel gaussian sign pattern, the local sign and magnitude pattern extracted from mean-processing texture image. To validate the effectiveness of the proposed completed gaussian extend binary pattern, experimental evaluations are conducted on three test subsets from Outex database. The evaluation results show that the proposed completed gaussian extended binary pattern achieves the state-pf-the-art classification performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Human-robot interaction based on Haar-like features and eigenfaces

Human-robot interaction based on Haar-like features and eige...

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： J. Barreto P. Menezes J. Dias Institute of Systems and Robotics University of Coimbra Coimbra Portugal

This paper describes a machine learning approach for visual object detection and recognition which is capable of processing images rapidly and achieving high detection and recognition rates. This framework is demonstrated on, and in part motivated by, the task of human-robot interaction. There are three main parts on this framework. The first is the person's face detection used as a preprocessing system to the second stage which is the recognition of the face of the person interacting with the robot, and the third one is the hand detection. The detection technique is based on Haar-like features introduced by Viola et al. and then improved by Lienhart et al. The eigenimages and PCA are used in the recognition stage of the system. Used in real-time human-robot interaction applications the system is able to detect and recognise faces at 10.9 frames per second in a PIV 2.2 GHz equipped with a USB camera.

关键词： Face detection Object detection image recognition Face recognition Machine learning Robots Principal component analysis Real time systems Universal Serial Bus Cameras

来源：评论

学校读者我要写书评

暂无评论

Distributed volumetric scene geometry reconstruction with a network of distributed smart cameras

Distributed volumetric scene geometry reconstruction with a ...

引用

conference on Computer Vision and Pattern Recognition (CVPR)

作者： Shubao Liu Kongbin Kang Jean-Philippe Tarel David B. Cooper Division of Engineering Brown University Providence RI USA Laboratoire Central des Ponts et Chaussées Paris France

Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless communication capability is the “efficient” reconstruction of the 3D geometry structure in the scene. What is meant by “efficient” reconstruction? In this paper we investigate this from different aspects in the context of visual sensor networks and offer a distributed reconstruction algorithm roughly meeting the following goals: 1. Close to achievable 3D reconstruction accuracy and robustness; 2. Minimization of the processing time by adaptive computing-job distribution among all the cameras in the network and asynchronous parallel processing; 3. Communication Optimization and minimization of the (battery-stored) energy, by reducing and localizing the communications between cameras. A volumetric representation of the scene is reconstructed with a shape from apparent contour algorithm, which is suitable for distributed processing because it is essentially a local operation in terms of the involved cameras, and apparent contours are robust to ourdoor illumination conditions. Each camera processes its own image and performs the computation for a small subset of voxels, and updates the voxels through collaborating with its neighbor cameras. By exploring the structure of the reconstruction algorithm, we design the minimum-spanning-tree (MST) message passing protocol in order to minimize the communication. Of interest is that the resulting system is an example of “swarm behavior”. 3D reconstruction is illustrated using two real image sets, running on a single computer. The iterative computations used in the single processor experiment are exactly the same as are those used in the network computations. Distributed concepts and algorithms for network control and communication performance are theoretical designs and estimates.

关键词： Layout Geometry Smart cameras image reconstruction Computer networks Reconstruction algorithms Robustness Algorithm design and analysis Wireless communication Context

来源：评论

学校读者我要写书评

暂无评论

Scene retrieval with sign sequence matching based on video and audio features

Scene retrieval with sign sequence matching based on video a...

引用

IEEE International conference on Multimedia and Expo (ICME)

作者： N. Babaguchi T. Ishida K. Morisawa Graduate School of Engineering Osaka University Suita Japan

This paper presents a method of retrieving similar scenes from video streams with sign sequence matching. The visual and auditory streams are partitioned into fixed-length video/audio packets. Based on feature vectors extracted from these packets, sign sequences are formed. The sign sequence can be viewed as abstraction of video and audio features. DP matching between the target and query sign sequences allows us to find scenes similar to the query in the video stream. For the purpose of efficient processing, packets, histogram based features, and sign sequences, which are the key ideas in this method, are introduced. The preliminary experimental results show that this method is promising for quick retrieval for similar scenes

关键词： Layout Streaming media Feature extraction Collaboration Data mining Large-scale systems image segmentation Histograms Graphics Multimedia communication

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

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435页 << < 419 420 421 422 423 424 425 426 427 428 > >>

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：