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

3,428 篇 会议
27 篇 期刊文献
14 册 图书

馆藏范围

3,469 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,945 篇 工学
- 1,270 篇 计算机科学与技术...
- 955 篇 信息与通信工程
- 686 篇 软件工程
- 521 篇 电气工程
- 190 篇 光学工程
- 108 篇 生物工程
- 80 篇 电子科学与技术（可...
- 62 篇 生物医学工程（可授...
- 61 篇 控制科学与工程
- 60 篇 仪器科学与技术
- 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...
307 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
99 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

3,405 篇 英文
49 篇 土耳其文
23 篇 中文
7 篇 其他

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

共 3469 条记录，以下是3241-3250 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：

AN EVALUATION OF STEREO MATCHING METHODS FOR VIEW INTERPOLATION

AN EVALUATION OF STEREO MATCHING METHODS FOR VIEW INTERPOLAT...

引用

IEEE International conference on image processing

作者： G. Fuhr G. P. Fickel L. P. Dal'Aqua C. R. Jung T. Malzbender R. Samadani Institute of Informatics Federal University of Rio Grande do Sul Multimedia Communications and Networking HP Labs Palo Alto

ISBN: (纸本)9781479923427

Stereo matching has a long history in image processing and computer vision. In fact, there are inumerous approaches reported in the literature, and quantitative evaluation is usually performed by comparing the obtained disparity maps with ground truth data (using the MSE, for instance). One important application of stereo matching is view interpolation, where it is desired to produce a new synthetic view from (at least) a pair of images and the corresponding disparity maps. In view interpolation, evaluation is mostly qualitative (visual quality of the synthesized image), and quantitative approaches compute objective similarity metrics between the synthesized image and the actual image at the same position (e.g. PSNR). The main goal of this paper is to evaluate the impact of several different stereo matching algorithms in a view interpolation context, relating the quality of the disparity maps with the quality of the corresponding synthesized views using standardized datasets. In this paper, experiments using the MPEG reference software for view interpolation and more than twenty datasets are presented and discussed. Our results indicate that the use of the common percentage of bad pixels as a metric for stereo matching methods does not translate well to the quality of view interpolation.

关键词： View interpolation Stereo matching Quality assessment Interpolation Quality assessment images View Solar Terrestrial Relations Observatory

来源：评论

学校读者我要写书评

暂无评论

Deep Reference Frame for Versatile Video Coding with Structural Re-parameterization

Deep Reference Frame for Versatile Video Coding with Structu...

引用

IEEE visual communications and image processing (VCIP)

作者： Chengzhuo Gui Yuantong Zhang Weijie Bao Zhenzhong Chen Huairui Wang Shan Liu Hubei Luojia Laboratory Wuhan University Wuhan China School of Geodesy and Geomatics Wuhan University Wuhan China School of Remote Sensing and Information Engineering Wuhan University Wuhan China Tencent Shenzhen China Tencent America Palo Alto CA USA

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

In video coding, inter-prediction leverages neigh-boring frames to reduce temporal redundancy. The quality of these reference frames is essential for effective inter-prediction. Although many neural network-based methods have been proposed to improve the quality of reference frames, there is still room for the performance and efficiency trade-off. In this paper, we propose an interpolation diverse branch block (InterDBB) suitable for lightweight frame interpolation networks, which optimizes deep reference frame interpolation networks to improve performance without sacrificing speed and increasing complexity. Specifically, we propose a multi-branch structural reparameterization block without batch normalization. This straightforward yet effective modification ensures training stability and performance improvement. Moreover, we propose a parameterized motion estimation strategy based on different input resolution, to achieve a better trade-off between performance and computational complexity. Experimental results demonstrate that our method achieves -2.01%/-2.87%/-2.44% coding efficiency improvements for Y/U/V components under random access (RA) configuration compared to VTM-11.0_NNVC-5.0.

关键词： Video coding Training Interpolation image coding image resolution visual communication Motion estimation Redundancy Computational complexity Batch normalization

来源：评论

学校读者我要写书评

暂无评论

PointCU: Multiscale Sparse Convolutional Learning for Point Cloud Color Upsampling

PointCU: Multiscale Sparse Convolutional Learning for Point ...

引用

IEEE visual communications and image processing (VCIP)

作者： Birendra Kathariya Anique Akthar Zhu Li Geert Van Der Auwera University of Missouri-Kansas City Kansas City USA Qualcomm San Diego USA

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Upsampling a sparse point cloud is a common operation in various applications, such as high-quality reconstruction, rendering. Point-cloud geometry upsampling has been extensively studied for this purpose. However, when a sparse point cloud includes attributes, such as color, their upsampling must also be carried out in addition to geometry. Despite the apparent need of such work, not a lot of effective solutions are developed that can work with real world large scale point cloud. In this work, we propose a novel solution called PointCU, which is a sparse convolution learning-based Point cloud Color Upsampling method that enables high-fidelity dense point color reconstruction from sparse point color. The proposed method first prepares multiple representations of a dense point cloud through voxelization at different scales, then transfers the color from sparse to the newly created point clouds including the dense point cloud itself through devoxelization. Then by learning feature on these multiple point cloud representation through sparse convolution neural network (SparseCNN) while also expanding and fusing the feature to higher scale, PointCU achieves an excellent color super-resolving capability. Our experimental results on four times (4x) and eight times (8x) upsampling tasks demonstrate that the color upsampling performance of the proposed method is superior to the previous known color upsampling schemes by a large margin.

关键词： Point cloud compression Geometry Representation learning image resolution image color analysis Convolution visual communication Neural networks Color Rendering (computer graphics)

来源：评论

学校读者我要写书评

暂无评论

Feature extraction for histopathological images using Convolutional Neural Network

Feature extraction for histopathological images using Convol...

引用

IEEE Signal processing and communications Applications (SIU)

作者： Nuh Hatipoglu Gokhan Bilgin Trakya Universitesi Edirne TR Yildiz Teknik Universitesi Istanbul TR

In this study, it is intended to increase the classification accuracy results of histopathalogical images by evaluating spatial relations. As a first step, Convolutional Neural Network (CNN) based features are extracted in the original RGB color space of digital histopathalogical images. Training data sets are formed by selecting equal number of different cellular and extra-cellular structures in spatial domain from the images. Classification models of each training data set are obtained by utilizing CNN (as a supervised classifier), Support Vector Machine (SVM) and Random Forest (RF) methods. visual classification maps and output tables which are obtained from supervised training methods are presented for comparison purpose in the experimental results section.

关键词： image analysis Feature extraction Support vector machines Neural networks Biomedical imaging image color analysis Training data

来源：评论

学校读者我要写书评

暂无评论

REDUCED-REFERENCE QUALITY ASSESSMENT WITH SCALABLE OVERHEAD FOR VIDEO WITH PACKET LOSS

REDUCED-REFERENCE QUALITY ASSESSMENT WITH SCALABLE OVERHEAD ...

引用

IEEE International conference on image processing

作者： Linda McLaughlin Sheila S. Hemami Visual Communications Lab School of Electrical and Computer Engineering Cornell University Ithaca NY 14853

ISBN: (纸本)9781479923427

Reduced-reference (RR) video quality assessment methods estimate the quality of a distorted video using only partial information of the reference video. We propose a reduced reference technique based on a no-reference method presented in [1], in which the MSE of the received video with packet losses was estimated with five parameters estimated from the received video and the motion vectors, all for each macroblock. We instead compute the parameters at the encoder and transmit a subset as overhead information. The originally proposed five parameters can be reduced to four, and with appropriate parameter subsampling, the MSE can be estimated across multiple packet loss rates, video resolutions, and bit rates. Overhead is a function of video size, frame rate, and subsampling. Estimation accuracy is good at overheads as low as 95 Kbps for video coded in the range of 500 kilobits/second to 2 megabits/second. The technique does not require full decoding of the video and is therefore suitable for low-complexity in-network quality monitoring.

关键词： video transmission reduced reference video quality monitoring video quality assessment H.264

来源：评论

学校读者我要写书评

暂无评论

Medical image Denoising Using Synergistic Fibroblast Optimization Based Weighted Median Filter

Medical Image Denoising Using Synergistic Fibroblast Optimiz...

引用

International conference on Advances in Electronics, Computers and communications (ICAECC)

作者： T T Dhivyaprabha G Jayashree P Subashini Department of Computer Science Avinashilingam Institute for Home Science and Higher Education for Women Coimbatore India Department of Information Technology Kumaraguru College of Technology Coimbatore India

image analysis involves processing and extraction of knowledge from images which is significantly useful in the large scale of medical and engineering applications. image denoising is primarily applied in image analysis for degradation of noise, and thus improves the visual quality of images for information retrieval process. In the recent scenarios, due to the increase of complexity and diversity of digital images, removal of noise present in complicated images using classical filters becomes a quite challenge. The objective of this paper is to investigate the performance efficiency of a newly developed Synergistic Fibroblast optimization based Weighted Median Filter (SFO-WMF) for medical image analysis. Experiments are carried out with benchmark images, real time Magnetic Resonance Imaging (MRI) images, ultrasound breast cancer images and compared with conventional filters, namely, mean filter, median filter, wiener filter, Gaussian filter and weighted median filter. The performances of filters are validated using standard performance metrics and computational results demonstrated that the novel filter produces promising results and it outperforms than conventional filters in both qualitative and quantitative perspectives.

关键词： Wiener filters Adaptive filters Filtering algorithms Finite impulse response filters Magnetic resonance imaging Digital images

来源：评论

学校读者我要写书评

暂无评论

Frame Level Content Adaptive λ for Neural Video Compression

Frame Level Content Adaptive λ for Neural Video Compression

引用

IEEE visual communications and image processing (VCIP)

作者： Zhirui Zuo Junqi Liao Xiaomin Song Zheng Liu Huiming Zheng Dong Liu University of Science and Technology of China Sichuan Xinshi Chuangwei Ultra HD Technology Co. Ltd

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Neural video compression (NVC) methods have made significant advances in recent years. In most NVC methods, all frames share the same Rate-Distortion trade-off parameter λ, which might be sub-optimal. Recently, inspired by traditional video codecs' hierarchical quality structure, DCVC-DC proposed allocating periodic weights to λ to equip NVC with the hierarchical quality structure. However, the inspiration from traditional video codecs is designed to complement their complex reference structure. Compared to traditional video codecs, NVC methods' reference structure is much simpler and may not require large fluctuations in their hierarchical quality structure. Moreover, DCVC-DC's fixed hierarchical quality structure ignored the influence of video content. We conduct an elaborate study on the hierarchical quality structure in DCVC-DC, shedding light on the potential for improving compression performance by proposing a content adaptive λ to achieve a more reasonable hierarchical quality structure based on the fixed hierarchical weights. Experimental results demonstrate that the proposed method achieves a better rate-distortion performance than allocating the fixed weights to the fixed λ. On DCVC-DC and DCVC-SDD, we achieved 4.9% and 8.8% bdrate reduction with our method.

关键词： Training image coding Fluctuations visual communication Rate-distortion Video compression Decoding Video codecs Computational complexity Periodic structures

来源：评论

学校读者我要写书评

暂无评论

Integrated end-to-end buffer management and congestion control for scalable video communications

Integrated end-to-end buffer management and congestion contr...

引用

IEEE International conference on image processing

作者： I.V. Bajic O. Tickoo A. Balan S. Kalyanaraman J.W. Woods ECSE Department Rensselaer Polytechnic Institute Troy NY USA

In this paper we present a video communication system that integrates end-to-end buffer management and congestion control at the source with the playout adjustment mechanism at the receiver. While each component of the system has been considered independently in the literature, our focus in this work is their integration. The proposed system exploits the fact that when congestion control is implemented at the source, most of the loss occurs at the source and not within the network. Based on this observation, we design the buffer management to trade off random loss for controlled loss of visually less important data. Frame rate is adjusted at the receiver to maximize the visual quality of the displayed video based on the overall loss. We tested our system with both H.26L and a subband/wavelet video coder, and found that it significantly improves the received video quality in both cases.

关键词： Communication system control Scalability Propagation losses Delay Quality management Control systems System testing Internet Bandwidth Protocols

来源：评论

学校读者我要写书评

暂无评论

Optimizing image Classification Using Bag of Features and Support Vector Machines

Optimizing Image Classification Using Bag of Features and Su...

引用

Mobile Networks and Wireless communications (ICMNWC), IEEE International conference on

作者： K Mahantesh K S Navyashree Devika S Nairy R Asha B Anshitha Department of CSE (DS) RNS Institute of Technology Visvesvaraya Technological University Bengaluru India Department of ECE SJB Institute of Technology Visvesvaraya Technological University Bengaluru India

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

image categorization is a fundamental task in computer vision, with applications in domains such as object recognition, medical imaging, and autonomous systems. Traditional approaches frequently fail to balance accuracy, computing efficiency, and scalability, particularly when dealing with big and complex datasets. This work presents a novel picture classification strategy that combines the Bag of Features (BoF) model with Support Vector Machines (SVM). The BoF model describes images by extracting local visual characteristics (such as SIFT, SURF, or ORB) from image patches and quantizing them into visual words to create a histogram representation. SVM, a powerful machine learning classifier, is used to classify these histograms, utilizing its capacity to handle high-dimensional, sparse data. Experiments using common image classification datasets show that the BoF-SVM system greatly outperforms previous methods, resulting in higher classification accuracy and lower processing costs. Furthermore, it has superior generalization to previously unseen data and is more resistant to noise and picture changes. The suggested BoF-SVM system produces promising results for boosting both accuracy and efficiency in image classification tasks, with room for further optimization in more complicated and diversified applications

关键词： Support vector machines visualization Histograms Computer vision Accuracy Computational modeling Scalability Feature extraction Vectors image classification

来源：评论

学校读者我要写书评

暂无评论

Information-theoretic non-uniformity correction of infrared image sequences

Information-theoretic non-uniformity correction of infrared ...

引用

IEEE Signal processing and communications Applications (SIU)

作者： Fatih Nar Atilla Özgür Ankara Yildirim Beyazit University Ankara Turkey Mathematics and Logistics Jacobs University Bremen Germany

ISBN: (数字)9781728172064

ISBN: (纸本)9781728172071

In infrared (IR) image sequences, non-uniform imaging artifacts can appear due to sensor characteristics and operating temperatures. These non-uniformity artifacts degrade the performance of scene analysis algorithms such as target detection, target recognition, and target tracking as well as human expert visual analysis. In this study, we propose a software based non-uniformity correction (NUC) approach based on optimization of a mutual information (MI) driven cost function. Proposed method, namely information-theoretic NUC (IT-NUC), has two steps. First, shutter is closed for a short period of time and non-uniform pattern is extracted using the acquired image sequence. This first step is done for once and only repeated when camera needs to be calibrated. In the second step, extracted pattern is removed from image sequences that are acquired while shutter is opened. This step is executed in an online manner via an optimization approach. Analysis show that proposed method provides satisfactory NUC capabilities using commodity hardware in real-time.

关键词： Software algorithms image sequences Photonics Cost function Cameras Software Mutual information

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 << < 321 322 323 324 325 326 327 328 329 330 > >>

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：