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

100 篇 会议
13 篇 期刊文献

馆藏范围

113 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

103 篇 工学
- 81 篇 电气工程
- 42 篇 计算机科学与技术...
- 31 篇 信息与通信工程
- 7 篇 软件工程
- 5 篇 电子科学与技术（可...
- 4 篇 光学工程
- 4 篇 仪器科学与技术
- 3 篇 机械工程
- 3 篇 生物工程
- 1 篇 控制科学与工程
- 1 篇 生物医学工程（可授...
58 篇 医学
- 58 篇 临床医学
- 1 篇 基础医学(可授医学...
- 1 篇 药学(可授医学、理...
16 篇 理学
- 11 篇 物理学
- 6 篇 生物学
- 5 篇 数学
- 1 篇 系统科学
- 1 篇 统计学（可授理学、...
3 篇 文学
- 3 篇 外国语言文学
2 篇 管理学
- 2 篇 图书情报与档案管...

主题

8 篇 deep learning
6 篇 image coding
6 篇 visualization
6 篇 image processing
6 篇 image classifica...
5 篇 convolutional ne...
4 篇 super-resolution
4 篇 neural networks
4 篇 optimization
3 篇 image fusion
3 篇 image segmentati...
3 篇 distortion
3 篇 image retrieval
3 篇 human visual sys...
3 篇 image denoising
3 篇 sparse represent...
3 篇 benchmark testin...
3 篇 semantics
3 篇 denoising
3 篇 quality assessme...

机构

6 篇 shanghai jiao to...
5 篇 peking univ inst...
5 篇 cooperat mediane...
3 篇 univ sci & techn...
3 篇 shanghai univ sc...
2 篇 univ sci & techn...
2 篇 beijing univ tec...
2 篇 microsoft res as...
2 篇 beijing key lab ...
2 篇 peking univ shen...
2 篇 postech dept com...
2 篇 korea adv inst s...
2 篇 peking univ shen...
2 篇 univ elect sci &...
2 篇 shanghai jiao to...
2 篇 school of electr...
2 篇 xidian univ stat...
2 篇 shanghai univ el...
1 篇 ajou univ dept s...
1 篇 zhejiang univ de...

作者

6 篇 gao wen
5 篇 song li
4 篇 xie rong
4 篇 xiong ruiqin
3 篇 liu dong
3 篇 liu hangfan
3 篇 kim munchurl
3 篇 gu ke
3 篇 wu feng
2 篇 zhu yuesheng
2 篇 zhang wenjun
2 篇 li yunsong
2 篇 shen liquan
2 篇 sumei li
2 篇 wang keyan
2 篇 kim seong tae
2 篇 ro yong man
2 篇 luo zhengyi
2 篇 zhang ya
2 篇 paik joonki

语言

108 篇 英文
4 篇 土耳其文
1 篇 中文

检索条件"任意字段=2017 IEEE Visual Communications and Image Processing, VCIP 2017"

共 113 条记录，以下是1-10 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：

2017 ieee visual communications and image processing, vcip 2017

2017 IEEE Visual Communications and Image Processing, VCIP 2...

引用

2017 ieee visual communications and image processing, vcip 2017

ISBN: (纸本)9781538604625

The proceedings contain 142 papers. The topics discussed include: perceptual optimized adaptive HTTP streaming;TC-CCS: a cooperative caching strategy in mobile transparent computing system;non-invasive imaging based on speckle pattern estimation and deconvolution;object localization in weakly labeled data using regularized attention networks;dictionary learning based high frequency inter-layer prediction for scalable HEVC;CNN oriented fast QTBT partition algorithm for JVET intra coding;endoscopic video deblurring via synthesis;improve object detection via a multi-feature and multi-task CNN model;enhancing pulmonary nodule detection via cross-modal alignment;adaptive difference modelling for background subtraction;geometry-adaptive motion partitioning using improved temporal prediction;cascaded convolutional neural networks for object detection;a new underwater image enhancing method via color correction and illumination adjustment;a novel image compression framework at edges;QoE-based node selection strategy for edge computing enabled internet-of-vehicles (EC-IoV);deep probabilities for age estimation;and deep discriminative network with inception module for person re-identification.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Bivariate Statistics and Binocular Energy Induced Stereo-pair Quality Evaluator

Bivariate Statistics and Binocular Energy Induced Stereo-pai...

引用

ieee visual communications and image processing (vcip)

作者： Yao, Yang Shen, Liquan An, Ping Shanghai Univ Sch Commun & Informat Engn Shanghai 200072 Peoples R China

ISBN: (纸本)9781538604625

With the flourishment of 3D content, stereoscopic image quality assessment (SIQA) becomes an urgent issue in image processing field. In this paper, a new blind SIQA method is proposed based on bivariate natural scene statistics (NSS) model that is conducted on the binocular Gabor energy response. Specifically, Gabor responses of two views are combined using a binocular energy model. Then bivariate statistics of the jointly spatially adjacent responses of the fused Gabor energy are calculated for feature extraction. Experimental results on LIVE 3D image Quality Database demonstrate the promising performance of the proposed method.

关键词： stereoscopic image quality assessment bivariate statistics binocular energy response

来源：评论

学校读者我要写书评

暂无评论

Sketch-Based Cross-Domain image Retrieval Via Heterogeneous Network

Sketch-Based Cross-Domain Image Retrieval Via Heterogeneous ...

引用

ieee visual communications and image processing (vcip)

作者： Zhang, Hao Zhang, Chuang Wu, Ming BUPT Sch Informat & Commun Engn Beijing Peoples R China

ISBN: (纸本)9781538604625

The development of image diversity has led multiple fields' application of cross-domain image retrieval. In this paper, we propose a heterogeneous dual network (two different networks) based on sketches and images. End-to-end cross-domain image retrieval is realized by limiting the similarity of features extracted from the two networks through the method of combining the contrastive loss with the triplet ranking loss. We also study how the order of drawings affects the sketch retrieval. Compared to the Siamese network, we avoid edge extraction for preprocessing, and the effect of fine-grained retrieval is further enhanced.

关键词： retrieval cross - domain fine - grained heterogeneous network the order of drawing

来源：评论

学校读者我要写书评

暂无评论

Edge-Guided Generative Adversarial Network for image Inpainting

Edge-Guided Generative Adversarial Network for Image Inpaint...

引用

ieee visual communications and image processing (vcip)

作者： Xu, Shunxin Liu, Dong Xiong, Zhiwei Univ Sci & Technol China CAS Key Lab Technol Geospatial Informat Proc & Ap Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9781538604625

In this paper, we present an edge-guided generative adversarial network (EGGAN) for edge-based image inpainting that can be adopted in image compression and transmission error concealment. Our key idea is to integrate edges into the generative network, and train the generative network to minimize both gradient loss and adversarial loss. Given a corrupted image and the estimated edges of the missing area, the trained generative network is capable in generating the missing area in a visually plausible manner, and meanwhile reproducing the given edges faithfully. Experimental results on the challenging face images have shown the effectiveness of EGGAN.

关键词： Edge Generative adversarial network image inpainting

来源：评论

学校读者我要写书评

暂无评论

image Retrieval by Dense Caption Reasoning

Image Retrieval by Dense Caption Reasoning

引用

ieee visual communications and image processing (vcip)

作者： Wei, Xinru Qi, Yonggang Liu, Jun Liu, Fang BUPT Sch Commun & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781538604625

Humans tend to understand image scene by recognizing visual elements, then conjecturing and inferring based on them, hence are able to search relevant images. In this paper, we concern about the problem of complex image retrieval by reasoning image dense captions, which is similar to the way of human perception for searching images. Specifically, we transform the problem of complex image retrieval into a dense captioning and scene graph matching issue by using structured language descriptions for retrieval. Experimental results on a novel proposed large-scale content-based image retrieval dataset demonstrate the rationality and effectiveness of our method.

关键词： image Retrieval Dense Caption Reasoning Captioning Scene Graph Matching Deep Learning

来源：评论

学校读者我要写书评

暂无评论

A New Underwater image Enhancing Method via Color Correction and Illumination Adjustment

A New Underwater Image Enhancing Method via Color Correction...

引用

ieee visual communications and image processing (vcip)

作者： Zhang, Wenhao Li, Ge Ying, Zhenqiang Peking Univ Shenzhen Grad Sch Sch Elect & Comp Engn Lishui Rd 2199 Shenzhen 518055 Guangdong Peoples R China

ISBN: (纸本)9781538604625

Since the light will be absorbed and scattered when travels in water, underwater imaging exists three major difficulties, including color cast, under-exposure, and fuzz. The solutions to overcome those issues are important for the exploration of the ocean. In this paper, we propose a new algorithm for improving the quality of underwater images. The algorithm is composed of two components: color correction and illumination adjustment. First, we use an efficient color enhancement method to solve the color cast. Then, based on Retinex model, we make the illumination adjustment, mainly extracting the illumination map and implementing gamma correction on it successively. Experimental results show that visual performance of our method outperforms that of other methods, and processing complexity is relatively simpler.

关键词： underwater image enhancement color correction illumination adjustment visual performance processing complexity

来源：评论

学校读者我要写书评

暂无评论

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

LinkNet: Exploiting Encoder Representations for Efficient Se...

引用

ieee visual communications and image processing (vcip)

作者： Chaurasia, Abhishek Culurciello, Eugenio Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA Purdue Univ Weldon Sch Biomed Engn W Lafayette IN 47907 USA

ISBN: (纸本)9781538604625

Pixel-wise semantic segmentation for visual scene understanding not only needs to be accurate, but also efficient in order to find any use in real-time application. Existing algorithms even though are accurate but they do not focus on utilizing the parameters of neural network efficiently. As a result they are huge in terms of parameters and number of operations;hence slow too. In this paper, we propose a novel deep neural network architecture which allows it to learn without any significant increase in number of parameters. Our network uses only 11.5 million parameters and 21.2 GFLOPs for processing an image of resolution 3 x 640 x 360. It gives state-of-the-art performance on CamVid and comparable results on Cityscapes dataset. We also compare our networks processing time on NVIDIA GPU and embedded system device with existing state-of-the-art architectures for different image resolutions.

关键词： Decoding image resolution Semantics Real-time systems Computer architecture Convolution Training

来源：评论

学校读者我要写书评

暂无评论

Dual Graph Regularized Sparse Coding for image Representation

Dual Graph Regularized Sparse Coding for Image Representatio...

引用

ieee visual communications and image processing (vcip)

作者： Sha, Lingdao Schonfeld, Dan Univ Illinois Dept Elect & Comp Engn 851 S Morgan St Chicago IL 60607 USA

ISBN: (纸本)9781538604625

Sparse coding has been widely and successfully used in image classification, noise reduction, texture synthesis, and audio processing. Although existing sparse coding methods can produce promising results, they failed to consider the high dimensional manifold information within data. In this paper, we propose a dual graph regularized sparse coding method to effectively preserve duality between data points and features for sparse representation. This is achieved by Feature-sign Search with Lagrange Dual (FS-LD) algorithm and Least-Angle Regression with Block Coordinate Descent (LARS-BCD) algorithm. Experimental results in clustering and classification show that the proposed method outperforms other existing methods.

关键词： sparse coding dual graph regularized sparse coding manifold learning least angle regression feature-sign search algorithm Lagrange dual image clustering block coordinate descent image classification

来源：评论

学校读者我要写书评

暂无评论

Improved Tensor Voting for Missing Edge Inference

Improved Tensor Voting for Missing Edge Inference

引用

ieee visual communications and image processing (vcip)

作者： Hu, Xiangyu Ma, Ran Li, Tong Shanghai Univ Sch Commun & Informat Engn Shanghai 200072 Peoples R China

ISBN: (纸本)9781538604625

Edges and structures are a critical part for natural images, which can help to improve the overall quality of the reconstructed image. In tasks like object removal, image inpainting or video error concealment, many related methods try to infer and recover the edge splines in the unknown regions using known splines in the neighbours as a pre-possessing procedure. In this paper, the tensor voting method is improved to pursue better inference quality of the missing edge. In the proposed method, the additional spline pairing is used to determine the most possible connectable edge spline pairs existed in the known region, which greatly overcomes the difficulty of choosing the accurate parameter for stick voting. Experiments show that the proposed method can improve the inference performance dramatically with the help of extra pairing work and acquire a better structure inference quality compared to several other inference methods.

关键词： edges inference structure completion tensor voting image completion

来源：评论

学校读者我要写书评

暂无评论

Rain Removal via Residual Generation Cascading

Rain Removal via Residual Generation Cascading

引用

ieee visual communications and image processing (vcip)

作者： Chen, Qiaobo Yi, Xu Ni, Bingbing Shen, Zan Yang, Xiaokang Shanghai Jiao Tong Univ Shanghai Peoples R China Shanghai Key Lab Digital Media Proc & Transmiss Shanghai Peoples R China

ISBN: (纸本)9781538604625

Single-image rain removal has always been challenging, due to its inherent ill-posed nature. In this paper, we propose a novel rain removal pipeline. This pipeline features two processing pathways: 1) a bottom-up pathway which iteratively performs down sampling and subtraction operations, yielding a Laplacian pyramid (LP) with decreasing scales, to bypass rain details;and 2) a top-down pathway which is built on image series obtained by the above bottom-up process and generate a series of image components based on conditional generative adversarial nets (CGAN), aiming at removing rain streaks while preserving image details. Generated components are further fused via scale-space aggregation, and descriptive image intrinsic information contained in different scales is interacted to jointly generate high quality de-rained image. Extensive experiments on synthetic and real-world rainy image datasets both demonstrate the effectiveness of the proposed rain streaks removal approach.

关键词： Rain Training Atmospheric modeling visualization Generators Pipelines image resolution

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12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：