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1001-1010 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：

Human Action Recognition on Raw Depth Maps

Human Action Recognition on Raw Depth Maps

引用

IEEE visual communications and image processing (VCIP)

作者： Jacek Trelinski Bogdan Kwolek AGH University of Science and Technology Kraków Poland

ISBN: (纸本)9781728173221

We propose an effective framework for human action recognition on raw depth maps. We leverage a convolutional autoencoder to extract on sequences of deep maps the frame-features that are then fed to a 1D-CNN responsible for embedding action features. A Siamese neural network trained on repre-sentative single depth map for each sequence extracts features, which are then processed by shapelets algorithm to extract action features. These features are then concatenated with features extracted by a BiLSTM with TimeDistributed wrapper. Given the learned individual models on such features we perform a selection of a subset of models. We demonstrate experimentally that on SYSU 3DHOI dataset the proposed algorithm outperforms considerably all recent algorithms including skeleton-based ones.

关键词： Solid modeling Three-dimensional displays image recognition visual communication Neural networks Benchmark testing Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A High Accuracy Camera Calibration Method for Sport Videos

A High Accuracy Camera Calibration Method for Sport Videos

引用

IEEE visual communications and image processing (VCIP)

作者： Neng Zhang Ebroul Izquierdo Multimedia and Vision Research Group School of Electronic Engineering and Computer Science Queen Mary University of London London UK

ISBN: (纸本)9781728173221

Camera calibration for sport videos enables precise and natural delivery of graphics on video footage and several other special effects. This in turns substantially improves the visual experience in the audience and facilitates sports analysis within or after the live show. In this paper, we propose a high accuracy camera calibration method for sport videos. First, we generate a homography database by uniformly sampling camera parameters. This database includes more than 91 thousand different homography matrices. Then, we use the conditional generative adversarial network (cGAN) to achieve semantic segmentation splitting the broadcast frames into four classes. In a subsequent processing step, we build an effective feature extraction network to extract the feature of semantic segmented images. After that, we search for the feature in the database to find the best matching homography. Finally, we refine the homography by image alignment. In a comprehensive evaluation using the 2014 World Cup dataset, our method outperforms other state-of-the-art techniques.

关键词： image segmentation visualization Databases visual communication Semantics Feature extraction Cameras

来源：评论

学校读者我要写书评

暂无评论

Learning-Based Complexity Reduction Scheme for VVC Intra-Frame Prediction

Learning-Based Complexity Reduction Scheme for VVC Intra-Fra...

引用

IEEE visual communications and image processing (VCIP)

作者： Mário Saldanha Gustavo Sanchez César Marcon Luciano Agostini Graduate Program in Computing (PPGC) Federal University of Pelotas Pelotas Brazil IF Farroupilha Alegrete Brazil Pontificial Catholic University of Rio Grande do Sul Porto Alegre Brazil

ISBN: (纸本)9781728173221

This paper presents a learning-based complexity reduction scheme for Versatile Video Coding (VVC) intra-frame prediction. VVC introduces several novel coding tools to improve the coding efficiency of the intra-frame prediction at the cost of a high computational effort. Thus, we developed an efficient complexity reduction scheme composed of three solutions based on machine learning and statistical analysis to reduce the number of intra prediction modes evaluated in the costly Rate-Distortion Optimization (RDO) process. Experimental results demonstrated that the proposed solution provides 18.32% encoding timesaving with a negligible impact on the coding efficiency.

关键词： Video coding image coding visual communication Statistical analysis Current measurement Rate-distortion Machine learning

来源：评论

学校读者我要写书评

暂无评论

image-Based Indoor Localization Using Smartphone Cameras In Textureless Environment

Image-Based Indoor Localization Using Smartphone Cameras In ...

引用

International conference on Information and Computer Technologies (ICICT)

作者： Ping Zheng Danyang Qin Jianan Bai Lin Ma Department of Electronics and Communication Engineering Heilongjiang University Harbin China Heilongjiang University Harbin China National Mobile Communications Research Laboratory Southeast University Nanjing China Department of Information and Communication Engineering Heilongjiang University Harbin China Department of Electronics and Information Engineering Harbin Institute of Technology Harbin China

In recent years, Location Based Services (LBS) have developed rapidly. There is an urgent need to establish a low-cost and convenient method to get precise positions indoors. Therefore, we choose an easier way of using monocular camera mounted on a mobile terminal to achieve indoor visual positioning. In this paper, two main problems are studied under this condition. Firstly, the feature extraction method is designed to minimize the loss of positioning information while processing quickly in textureless environment. Secondly, the relative direction vector obtained from the epipolar geometry cannot converge at the point to be located due to errors, so a position determination method is proposed to transform the problem of positioning into distance calculation. A WeChat mini program was built for users to obtain location information. Experimental results show that 90% positioning error was less than 0. 5m, and the average error was less than 0.32m.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Generative DNA: Representation Learning for DNA-based Approximate image Storage

Generative DNA: Representation Learning for DNA-based Approx...

引用

IEEE visual communications and image processing (VCIP)

作者： Giulio Franzese Yiqing Yan Giuseppe Serra Ivan D'Onofrio Raja Appuswamy Pietro Michiardi EURECOM Biot France

ISBN: (纸本)9781728173221

Synthetic DNA has received much attention recently as a long-term archival medium alternative due to its high density and durability characteristics. However, most current work has primarily focused on using DNA as a precise storage medium. In this work, we take an alternate view of DNA. Using neural-network-based compression techniques, we transform images into a latent-space representation, which we then store on DNA. By doing so, we transform DNA into an approximate image storage medium, as images generated back from DNA are only approximate representations of the original images. Using several datasets, we investigate the storage benefits of approximation, and study the impact of DNA storage errors (substitutions, indels, bias) on the quality of approximation. In doing so, we demonstrate the feasibility and potential of viewing DNA as an approximate storage medium.

关键词： Representation learning Sequential analysis image coding Costs visual communication Roads DNA

来源：评论

学校读者我要写书评

暂无评论

Underwater image Enhancement with Multi-Scale Residual Attention Network

Underwater Image Enhancement with Multi-Scale Residual Atten...

引用

IEEE visual communications and image processing (VCIP)

作者： Yosuke Ueki Masaaki Ikehara Keio Univ. Yokohama Kanagawa Japan

ISBN: (纸本)9781728173221

Underwater images suffer from low contrast, color distortion and visibility degradation due to the light scattering and attenuation. Over the past few years, the importance of underwater image enhancement has increased because of ocean engineering and underwater robotics. Existing underwater image enhancement methods are based on various assumptions. However, it is almost impossible to define appropriate assumptions for underwater images due to the diversity of underwater images. Therefore, they are only effective for specific types of underwater images. Recently, underwater image enhancement algorisms using CNNs and GANS have been proposed, but they are not as advanced as other image processing methods due to the lack of suitable training data sets and the complexity of the issues. To solve the problems, we propose a novel underwater image enhancement method which combines the residual feature attention block and novel combination of multi-scale and multi-patch structure. Multi-patch network extracts local features to adjust to various underwater images which are often Non-homogeneous. In addition, our network includes multi-scale network which is often effective for image restoration. Experimental results show that our proposed method outperforms the conventional method for various types of images.

关键词： Costs image color analysis visual communication Oceans Training data Feature extraction Distortion

来源：评论

学校读者我要写书评

暂无评论

SPCNet: A Panoramic image depth estimation method based on spherical convolution

SPCNet: A Panoramic image depth estimation method based on s...

引用

IEEE visual communications and image processing (VCIP)

作者： Si He Yu Liu Yumei Wang School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Peng Cheng Laboratory Research Center of Networks and Communications Shenzhen China

ISBN: (纸本)9781728173221

As an emerging media format, virtual reality (VR) has attracted the attention of researchers. 6-DoF VR can reconstruct the surrounding environment with the help of the depth information of the scene, so as to provide users with immersive experience. However, due to the lack of depth information in panoramic image, it is still a challenge to convert panorama to 6-DOF VR. In this paper, we propose a new depth estimation method SPCNet based on spherical convolution to solve the problem of depth information restoration of panoramic image. Particularly, spherical convolution is introduced to improve depth estimation accuracy by reducing distortion, which is attributed to Equi-Rectangular Projection (ERP). The experimental results show that many indicators of SPCNet are better than other advanced networks. For example, RMSE is 0.419 lower than UResNet. Moreover, the threshold accuracy of depth estimation has also been improved.

关键词： Solid modeling Convolution visual communication Estimation Immersive experience Media Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Encoder-Decoder Joint Enhancement for Video Chat

Encoder-Decoder Joint Enhancement for Video Chat

引用

IEEE visual communications and image processing (VCIP)

作者： Zhenghao Zhang Zhao Wang Yan Ye Shiqi Wang Changwen Zheng University of Chinese Academy of Sciences City University of Hong Kong Alibaba Group Chinese Academy of Sciences Institute of Software

ISBN: (纸本)9781728173221

Video chat becomes more and more popular in our daily life. However, how to provide a high-quality video chat with the limited bandwidth is a key challenging task. In this paper, beyond the state-of-the-art video compression system, we propose an encoder-decoder joint enhancement algorithm for the video chat. In particular, the sparse map of the original frame is extracted at the encoder side and signaled to the decoder, which is utilized together with the sparse map of the decoded frame to obtain the boundary transformation map. In this manner, the boundary transformation map represents the key difference between the original frame and the decoded frame and hence can be used to enhance the decoded frame. Experimental results show that the proposed algorithm brings clear subjective and objective quality improvements. At the same quality, the proposed algorithm can achieve 35% bitrate savings compared to the VVC.

关键词： visual communication image processing Bit rate Video compression Decoding Feeds Task analysis

来源：评论

学校读者我要写书评

暂无评论

Learn to Look Around: Deep Reinforcement Learning Agent for Video Saliency Prediction

Learn to Look Around: Deep Reinforcement Learning Agent for ...

引用

IEEE visual communications and image processing (VCIP)

作者： Yiran Tao Yaosi Hu Zhenzhong Chen Wuhan Univeristy Wuhan China

ISBN: (纸本)9781728173221

In the video saliency prediction task, one of the key issues is the utilization of temporal contextual information of keyframes. In this paper, a deep reinforcement learning agent for video saliency prediction is proposed, designed to look around adjacent frames and adaptively generate a salient contextual window that contains the most correlated information of keyframe for saliency prediction. More specifically, an action set step by step decides whether to expand the window, meanwhile a state set and reward function evaluate the effectiveness of the current window. The deep Q-learning algorithm is followed to train the agent to learn a policy to achieve its goal. The proposed agent can be regarded as plug-and-play which is compatible with generic video saliency prediction models. Experimental results on various datasets demonstrate that our method can achieve an advanced performance.

关键词： Q-learning visual communication image processing Predictive models Prediction algorithms Task analysis Context modeling

来源：评论

学校读者我要写书评

暂无评论

Multi-Dimension Aware Back Projection Network For Scene Text Detection

Multi-Dimension Aware Back Projection Network For Scene Text...

引用

IEEE visual communications and image processing (VCIP)

作者： Yizhan Zhao Sumei Li Yongli Chang School of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9781728173221

Recently, scene text detection based on deep learning has progressed substantially. Nevertheless, most previous models with FPN are limited by the drawback of sample interpolation algorithms, which fail to generate high-quality up-sampled features. Accordingly, we propose an end-to-end trainable text detector to alleviate the above dilemma. Specifically, a Back Projection Enhanced Up-sampling (BPEU) block is proposed to alleviate the drawback of sample interpolation algorithms. It significantly enhances the quality of up-sampled features by employing back projection and detail compensation. Further-more, a Multi-Dimensional Attention (MDA) block is devised to learn different knowledge from spatial and channel dimensions, which intelligently selects features to generate more discriminative representations. Experimental results on three benchmarks, ICDAR2015, ICDAR2017- MLT and MSRA-TD500, demonstrate the effectiveness of our method.

关键词： Deep learning Interpolation visual communication Shape image processing Detectors Benchmark testing

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 << < 97 98 99 100 101 102 103 104 105 106 > >>

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：