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

122 篇 会议
2 篇 期刊文献

馆藏范围

124 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

81 篇 工学
- 61 篇 计算机科学与技术...
- 58 篇 信息与通信工程
- 47 篇 电气工程
- 47 篇 软件工程
- 7 篇 仪器科学与技术
- 3 篇 机械工程
- 3 篇 光学工程
- 3 篇 化学工程与技术
- 2 篇 电子科学与技术（可...
- 2 篇 生物工程
- 1 篇 材料科学与工程（可...
- 1 篇 冶金工程
- 1 篇 动力工程及工程热...
- 1 篇 航空宇航科学与技...
- 1 篇 公安技术
44 篇 医学
- 44 篇 临床医学
15 篇 理学
- 7 篇 数学
- 7 篇 系统科学
- 3 篇 物理学
- 3 篇 化学
- 2 篇 生物学
2 篇 军事学
- 2 篇 军队指挥学
2 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 图书情报与档案管...
1 篇 法学
- 1 篇 社会学

主题

20 篇 visualization
10 篇 video coding
10 篇 feature extracti...
9 篇 cameras
9 篇 vectors
9 篇 image color anal...
8 篇 image segmentati...
8 篇 image edge detec...
8 篇 image coding
7 篇 image compressio...
6 篇 image enhancemen...
6 篇 image reconstruc...
6 篇 image resolution
5 篇 sparse represent...
5 篇 psnr
5 篇 algorithm design...
5 篇 training
4 篇 wireless sensor ...
4 篇 encoding
3 篇 rendering (compu...

机构

2 篇 institute of inf...
2 篇 acad sinica inst...
2 篇 peking univ sch ...
2 篇 electrical and e...
2 篇 harbin inst tech...
2 篇 signal and infor...
2 篇 department of co...
2 篇 shanghai univ sc...
2 篇 santa clara univ...
2 篇 shanghai key lab...
2 篇 institute of ima...
1 篇 college of physi...
1 篇 enformatik ensti...
1 篇 ece department m...
1 篇 school of materi...
1 篇 elektrik ve elek...
1 篇 school of electr...
1 篇 department of el...
1 篇 univ cincinnati ...
1 篇 information engi...

作者

3 篇 ma siwei
3 篇 gao wen
3 篇 kang li-wei
2 篇 fanman meng
2 篇 zheng lu
2 篇 hongliang li
2 篇 li zhuo
2 篇 debin zhao
2 篇 ci song
2 篇 zhao debin
2 篇 qingbo wu
2 篇 weiyao lin
2 篇 lin chia-wen
2 篇 gerald schaefer
2 篇 ye yun
2 篇 kim seyun
2 篇 cho nam ik
2 篇 gao xinwei
2 篇 ling nam
2 篇 yang xiaokang

语言

121 篇 英文
3 篇 土耳其文

检索条件"任意字段=2012 IEEE Visual Communications and Image Processing, VCIP 2012"

共 124 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：

A LOSSLESS COLOR image COMPRESSION METHOD BASED ON A NEW REVERSIBLE COLOR TRANSFORM

A LOSSLESS COLOR IMAGE COMPRESSION METHOD BASED ON A NEW REV...

引用

ieee visual communications and image processing (vcip)

作者： Kim, Seyun Cho, Nam Ik Seoul Natl Univ Dept Elect Engn & Comp Sci INMC Seoul 151744 South Korea

ISBN: (纸本)9781467344050

In many conventional lossless color image compression methods, the pixels or lines from each color component are interleaved, and then they are predicted and coded. Also, it has been reported that the reversible color transform (RCT) followed by a grayscale encoder gives higher coding gain than the independent compression of each channel does. In this paper, we propose a lossless color image compression method that concentrates on the efficient coding of chrominance channels with a new color transform and hierarchical coding of chrominance channel pixels. Specifically, we first transform an input image with R, G, and B color space into YCu C-v color space using the proposed RCT, which shows better decorrelation performance than the existing RCT. After the color transformation, the luminance channel Y is compressed by a conventional lossless image coder, such as JPEG-LS, CALIC, or JPEG2000 lossless. Unlike the luminance channel, the chrominance channels C-u and C-v are relatively smooth and have different statistical characteristic. Therefore, the chrominance channels are differently encoded based on a hierarchical decomposition and directional prediction. Finally, effective context modeling for prediction residuals is adopted. Experimental results show that the proposed method improves the compression performance by 40% over the conventional channel independent compression methods and 5% over the existing methods that exploit the channel correlation.

关键词： lossless color image compression reversible color transform lifting hierarchical coding

来源：评论

学校读者我要写书评

暂无评论

UNIFORM PROBABILITY MODEL FOR DERIVING INTRA PREDICTION ANGULAR TABLE IN HIGH EFFICIENCY VIDEO CODING

UNIFORM PROBABILITY MODEL FOR DERIVING INTRA PREDICTION ANGU...

引用

ieee visual communications and image processing (vcip)

作者： Li, Guichun Liu, Lingzhi Ling, Nam Zheng, Jianhua Zhang, Philipp Santa Clara Univ Dept Comp Engn Santa Clara CA 95053 USA HiSilicon Technol Co Ltd Santa Clara CA USA HiSilicon Technol Co Ltd Shenzhen Peoples R China

ISBN: (纸本)9781467344050;9781467344067

High Efficiency Video Coding (HEVC) is the latest international standard of video coding under development. In HEVC, the new technology of intra prediction, Unified Directional Intra (UDI), has shown significant improvement on coding performance. Comparing to the intra prediction of H.264/AVC, significant performance improvement was observed for all intra configured tests [2]. In the HEVC Test Model (HM), a predefined angular table is used for generating predicted sample values of UDI. However, how the table is obtained was not clearly presented in the literature. This paper gives a detailed derivation and explanation based on a novel uniform probability model. With this novel model, angular table derivation method was investigated and the selection of table entries used in UDI prediction is well explained. Simulation results show that using the improved angular table proposed in this paper, Bjontegaard Delta (BD)-rate improvement is achieved for sequences with large amount of various textures, in both all intra high efficiency and low complexity configurations.

关键词： Video coding visual communications intra prediction angular prediction angular table UDI HEVC

来源：评论

学校读者我要写书评

暂无评论

NEW BOUNDS ON image DENOISING: VIEWPOINT OF SPARSE REPRESENTATION AND NON-LOCAL AVERAGING

NEW BOUNDS ON IMAGE DENOISING: VIEWPOINT OF SPARSE REPRESENT...

引用

ieee visual communications and image processing (vcip)

作者： Feng, Jianzhou Song, Li Huo, Xiaoming Yang, Xiaokang Zhang, Wenjun Shanghai Digital Media Proc & Transmiss Key Lab Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Shanghai 200240 Peoples R China Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)9781467344050;9781467344067

image denoising plays a fundamental role in many image processing applications. Utilizing sparse representation and non-local averaging together is such a successful framework that leads to considerable progress in denoising. Almost all the newly proposed denoising algorithms are built base on it, different in detailed implementation, and the denoising performance seems converging. What is the denoising bound of this framework turns into a key question. In this paper, we assume all the possible algorithms under the framework can be approximated by a fixed two steps denoising process with different parameters. Step one cluster geometric similar image patches into groups so that patches within each group could be sparse represented under the basis of the group. Step two use the atoms of the group basis and radiometric similar patches of each patch for non-local averaging. The parameters of the process are the cluster number, the atoms and the number of radiometric similar patches for estimating each patch. Finally, the bound is derived as the minimum denoising error of all the possible parameters. Comparing with previous bounds, the new one is image specific and more practical. Experiment results show that there still exists room to improve the denoising performance for natural images.

关键词： image specific bound affine bias model Fisher information matrix

来源：评论

学校读者我要写书评

暂无评论

EFFICIENT image/VIDEO DEBLOCKING VIA SPARSE REPRESENTATION

EFFICIENT IMAGE/VIDEO DEBLOCKING VIA SPARSE REPRESENTATION

引用

ieee visual communications and image processing (vcip)

作者： Chiou, Yi-Wen Yeh, Chia-Hung Kang, Li-Wei Lin, Chia-Wen Fan-Jiang, Shu-Jhen Natl Sun Yat Sen Univ Dept Elect Engn Kaohsiung Taiwan Acad Sinica Inst Informat Sci Taipei Taiwan Natl Tsing Hua Univ Dept Elect Engn Hsinchu Taiwan

ISBN: (纸本)9781467344050;9781467344067

Blocking artifact, characterized by visually noticeable changes in pixel values along block boundaries, is a common problem in block-based image/video compression, especially at low bitrate coding. Various post-processing techniques have been proposed to reduce blocking artifacts, but they usually introduce excessive blurring or ringing effects. This paper proposes a self-learning-based image/video deblocking framework via properly formulating deblocking as an MCA (morphological component analysis)-based image decomposition problem via sparse representation. The proposed method first decomposes an image/video frame into the low-frequency and high-frequency parts by applying BM3D (block-matching and 3D filtering) algorithm. The high-frequency part is then decomposed into a "blocking component" and a "non-blocking component" by performing dictionary learning and sparse coding based on MCA. As a result, the blocking component can be removed from the image/video frame successfully while preserving most original image/video details. Experimental results demonstrate the efficacy of the proposed algorithm.

关键词： Blocking artifact deblocking sparse representation dictionary learning morphological component analysis

来源：评论

学校读者我要写书评

暂无评论

HIGH-QUALITY image INTERPOLATION VIA LOCAL AUTOREGRESSIVE AND NONLOCAL 3-D SPARSE REGULARIZATION

HIGH-QUALITY IMAGE INTERPOLATION VIA LOCAL AUTOREGRESSIVE AN...

引用

ieee visual communications and image processing (vcip)

作者： Gao, Xinwei Zhang, Jian Jiang, Feng Fan, Xiaopeng Ma, Siwei Zhao, Debin Harbin Inst Technol Sch Comp Sci & Technol Harbin 150006 Peoples R China Peking Univ Sch Elect Engn Comp Sci Beijing Peoples R China

ISBN: (纸本)9781467344050;9781467344067

In this paper, we propose a novel image interpolation algorithm, which is formulated via combining both the local autoregressive (AR) model and the nonlocal adaptive 3-D sparse model as regularized constraints under the regularization framework. Estimating the high-resolution image by the local AR regularization is different from these conventional AR models, which weighted calculates the interpolation coefficients without considering the rough structural similarity between the low-resolution (LR) and high-resolution (HR) images. Then the nonlocal adaptive 3-D sparse model is formulated to regularize the interpolated HR image, which provides a way to modify these pixels with the problem of numerical stability caused by AR model. In addition, a new Split-Bregman based iterative algorithm is developed to solve the above optimization problem iteratively. Experiment results demonstrate that the proposed algorithm achieves significant performance improvements over the traditional algorithms in terms of both objective quality and visual perception.

关键词： image interpolation local autoregressive model adaptive 3-D sparse model local-nonlocal modeling

来源：评论

学校读者我要写书评

暂无评论

A STUDY ON EFFICIENT COMPRESSION OF MULTI-FOCUS imageS FOR DENSE LIGHT-FIELD RECONSTRUCTION

A STUDY ON EFFICIENT COMPRESSION OF MULTI-FOCUS IMAGES FOR D...

引用

ieee visual communications and image processing (vcip)

作者： Sakamoto, Takashi Kodama, Kazuya Hamamoto, Takayuki Tokyo Univ Sci Dept Elect Engn Chiyoda Ku 1-14-6 Kudankita Tokyo 1020073 Japan Res Org Informat & Syst Natl Inst Informat Chiyoda Ku Tokyo 1018430 Japan

ISBN: (纸本)9781467344050;9781467344067

Light-Field enables us to observe scenes from free viewpoints. However, it generally consists of 4-D enormous data, that are not suitable for storing or transmitting without effective compression. 4-D Light-Field is very redundant because essentially it includes just 3-D scene information. Actually, although robust 3-D scene estimation such as depth recovery from Light-Field is not so easy, a method of reconstructing Light-Field directly from 3-D information composed of multi-focus images without any scene estimation is successfully derived. Previously, based on the method, Light-Field compression via synthesized multi-focus images as effective representation of 3-D scenes was proposed. In this paper, we study efficient compression of multi-focus images synthesized from dense Light-Field by using DWT instead of DCT-based compression in order to suppress degradation such as block noise. Quality of reconstructed Light-Field is evaluated by PSNR and SSIM for analyzing characteristics of residuals. Experimental results reveal that our method is much superior to Light-Field compression using disparity-compensation at low bit-rate.

关键词： image coding Three-dimensional TV Multi-view Multi-focus Light-Field

来源：评论

学校读者我要写书评

暂无评论

LOW BIT-RATE VIDEO CODING VIA MODE-DEPENDENT ADAPTIVE REGRESSION FOR WIRELESS visual communications

LOW BIT-RATE VIDEO CODING VIA MODE-DEPENDENT ADAPTIVE REGRES...

引用

ieee visual communications and image processing (vcip)

作者： Liu, Xianming Wu, Xiaolin Gao, Xinwei Zhao, Debin Gao, Wen Harbin Inst Technol Sch Comp Sci & Technol Harbin Peoples R China McMaster Univ ECE Dept Hamilton ON L8S 4K1 Canada Peking Univ Sch Elect Engn & Comp Sci Beijing Peoples R China

ISBN: (纸本)9781467344050;9781467344067

In this paper, a practical video coding scheme is developed to realize state-of-the-art video coding efficiency with lower encoder complexity at low bit-rate, while supporting standard compliance and error resilience. Such an architecture is particularly attractive for wireless visual communications. At the encoder, multiple descriptions of a video sequence are generated in the spatio-temporal domain by temporal multiplexing and spatial adaptive downsampling. The resulting side descriptions are interleaved with each other in temporal domain, and still with conventional square sample grids in spatial domain. As such, each side description can be compressed without any change to existing video coding standards. At the decoder, each side description is first decompressed, and then reconstructed to original resolution with the help of the other side description. In this procedure, the decoder recover the original video sequence in a constrained least squares regression process, using 2D or 3D piecewise autoregressive model according to different prediction modes. In this way, the spatial and temporal correlation is sufficiently explored to achieve superior quality. Experiment results demonstrate the proposed video coding scheme outperforms H. 264 in rate-distortion performance at low bit-rates and achieves superior visual quality at medium bit-rates as well.

关键词： Low bit-rates mode dependent adaptive regression wireless visual communications

来源：评论

学校读者我要写书评

暂无评论

Two-stage Parallax Correction and Multi-stage Cross-view Fusion Network Based Stereo image Super-Resolution

Two-stage Parallax Correction and Multi-stage Cross-view Fus...

引用

ieee International Conference on visual communications and image processing (vcip) - visual communications in the Era of AI and Limited Resources

作者： Zheng, Yijian Li, Sumei Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China

ISBN: (纸本)9781728185514

Stereo image super-resolution (SR) has achieved great progress in recent years. However, the two major problems of the existing methods are that the parallax correction is insufficient and the cross-view information fusion only occurs in the beginning of the network. To address these problems, we propose a two-stage parallax correction and a multi-stage cross-view fusion network for better stereo image SR results. Specially, the two-stage parallax correction module consists of horizontal parallax correction and refined parallax correction. The first stage corrects horizontal parallax by parallax attention. The second stage is based on deformable convolution to refine horizontal parallax and correct vertical parallax simultaneously. Then, multiple cascaded enhanced residual spatial feature transform blocks are developed to fuse cross-view information at multiple stages. Extensive experiments show that our method achieves state-of-the-art performance on the KITTI2012, KITTI2015, Middlebury and Flickr1024 datasets.

关键词： Stereo image super-resolution Parallax correction Multi-stage cross-view fusion

来源：评论

学校读者我要写书评

暂无评论

Viewable Floating Displays Using Simple Secondary Optical Elements

Viewable Floating Displays Using Simple Secondary Optical El...

引用

ieee visual communications and image processing (vcip) Conference

作者： Zhuang, Zhenfeng Wang, Hongjuan Surman, Phil Sun, Xiao Wei Nanyang Technol Univ Luminous Ctr Excellence Semicond Lighting & Displ Sch Elect & Elect Engn 50 Nanyang Ave Singapore 639798 Singapore

ISBN: (纸本)9781467373142

Two displays that enable the formation of floating images in the air are proposed. A high-refresh- rate monitor and two Fresnel lenses are used in the first demo system to create the real image in the air. The second demo system is composed of a slanted lenticular sheet and multiple semi-transparent mirrors. The floating 3D image can be observed by multiple users simultaneously. The principle and performance of the proposed displays are analyzed in this paper. Two prototypes of the viewable floating displays have been built. The results indicate that the displays are a feasible means of producing the illusion of images with depth.

关键词： Floating image display lenticular sheet geometric optical design

来源：评论

学校读者我要写书评

暂无评论

Optimized Truncation Model for Adaptive Compressive Sensing Acquisition of images

Optimized Truncation Model for Adaptive Compressive Sensing ...

引用

ieee visual communications and image processing (vcip) Conference

作者： Li, Xiangwei Lan, Xuguang Yang, Meng Xue, Jianru Zheng, Nanning Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China

ISBN: (纸本)9781467373142

The sparsity of the input signal is important for compressive sensing (CS) reconstruction in CS system. In this paper, we establish an optimized truncation model to determine the number of the sparsified coefficients to be truncated in CS acquisition according to the sampling rate. The proposed truncation model suits for signals of any dimension. With the truncation model, the sparsity of the signal can be optimized by properly truncating the small elements of the sparsified coefficients. Furthermore we propose an adaptive CS acquisition solution based on the truncation model to reduce the noise folding effect. The proposed solution is verified for CS acquisition of natural images. Simulation results show that the proposed solution achieves significant improvement of the reconstructed image quality by 0.7 similar to 1.4 dB on average compared with existing solutions.

关键词： compressive sensing (CS) noise folding sparsity truncation model image processing

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13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：