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

4,064 篇 会议
52 篇 期刊文献
18 册 图书
1 篇 学位论文

馆藏范围

4,135 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,368 篇 工学
- 1,627 篇 计算机科学与技术...
- 1,017 篇 信息与通信工程
- 848 篇 软件工程
- 787 篇 电气工程
- 229 篇 光学工程
- 113 篇 生物工程
- 102 篇 电子科学与技术（可...
- 76 篇 控制科学与工程
- 76 篇 生物医学工程（可授...
- 72 篇 仪器科学与技术
- 56 篇 机械工程
- 36 篇 化学工程与技术
- 33 篇 网络空间安全
- 29 篇 测绘科学与技术
- 25 篇 动力工程及工程热...
- 25 篇 安全科学与工程
- 17 篇 轻工技术与工程
1,076 篇 理学
- 838 篇 物理学
- 245 篇 数学
- 120 篇 生物学
- 65 篇 统计学（可授理学、...
- 39 篇 系统科学
- 36 篇 化学
1,031 篇 医学
- 1,017 篇 临床医学
- 32 篇 基础医学(可授医学...
- 26 篇 药学(可授医学、理...
149 篇 管理学
- 79 篇 图书情报与档案管...
- 78 篇 管理科学与工程(可...
- 18 篇 工商管理
30 篇 法学
- 28 篇 社会学
11 篇 军事学
9 篇 文学
7 篇 农学
6 篇 教育学
5 篇 经济学

主题

510 篇 image coding
400 篇 image processing
352 篇 visual communica...
309 篇 visualization
234 篇 feature extracti...
228 篇 image segmentati...
173 篇 image compressio...
158 篇 image reconstruc...
146 篇 video coding
133 篇 training
130 篇 cameras
124 篇 humans
118 篇 image color anal...
114 篇 image quality
112 篇 signal processin...
109 篇 image enhancemen...
100 篇 deep learning
100 篇 image edge detec...
95 篇 image retrieval
93 篇 motion estimatio...

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 chen zhibo
15 篇 andré kaup
13 篇 xie rong
13 篇 xiongkuo min
13 篇 gao wen
11 篇 heming sun
11 篇 zhibo chen
11 篇 zhenzhong chen
11 篇 gao zhiyong

语言

4,068 篇 英文
49 篇 土耳其文
24 篇 中文
8 篇 其他

检索条件"任意字段=Conference on Visual Communications and Image Processing 2001"

共 4135 条记录，以下是291-300 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：

WAVELET BASED SMOKE DETECTION METHOD WITH RGB CONTRAST-image AND SHAPE CONSTRAIN

WAVELET BASED SMOKE DETECTION METHOD WITH RGB CONTRAST-IMAGE...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Chen, Jiaqiu Wang, Yaowei Tian, Yonghong Huang, Tiejun Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Peking Univ Inst Digital Media Beijing 100871 Peoples R China

ISBN: (纸本)9781479902880

Smoke detection in video surveillance is very important for early fire detection. A general viewpoint assumes that smoke is a low frequency signal which may smoothen the background. However, some pure-color objects also have this characteristic, and smoke also produces high frequency signal because the rich edge information of its contour. In order to solve these problems, an improved smoke detection method with RGB Contrast-image and shape constrain is proposed. In this method, wavelet transformation is implemented based on the RGB Contrast-image to distinguish smoke from other low frequency signals, and the existence of smoke is determined by analyzing the combination of the shape and the energy change of the region. Experimental results show our method outperforms the conventional methods remarkably.

关键词： Smoke detection wavelet transform RGB Contrast-image shape constrain

来源：评论

学校读者我要写书评

暂无评论

Estimating blockness distortion for performance evaluation of picture coding algorithms

Estimating blockness distortion for performance evaluation o...

引用

1997 IEEE Pacific Rim conference on communications, Computers and Signal processing

作者： Giusto, DD Perra, M Univ of Cagliari Cagliari Italy

ISBN: (纸本)0780339061

In this paper, some of the most significant image quality indexes are reviewed and compared with a new method for blockness distortion evaluation. The paper begins with a brief survey on classical measures based on numerical difference between original and reconstructed image data (e.g., MSE, SNR and PSNR) and advanced methods aiming at considering the perceptive aspects of image degradation (e.g., Hosaka Plots and other methods based on Human visual System properties like Information Content or Perceptual image Distortion). After, four innovative methods for blockness distortion measurement are proposed: two based on DCT analysis, and two on differential Sobel operator. Results on standard pictures confirm the efficiency of the proposed measures.

关键词： image coding

来源：评论

学校读者我要写书评

暂无评论

CNN-Based Post-processing Filter for Video Compression with Multi-Scale Feature Representation

CNN-Based Post-Processing Filter for Video Compression with ...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Qi, Zhanyuan Jung, Cheolkon Liu, Yang Li, Ming Xidian Univ Sch Elect Engn Xian Peoples R China OPPO Xian Peoples R China

ISBN: (纸本)9781665475921

In this paper, we propose a convolutional neural network (CNN)-based post-processing filter for video compression with multi-scale feature representation. The discrete wavelet transform (DWT) decomposes an image into multi-frequency and multi-directional sub-bands, and can figure out artifacts caused by video compression with multi-scale feature representation. Thus, we combine DWT with CNN and construct two sub-networks: Step-like sub-band network (SLSB) and mixed enhancement network (ME). SLSB takes the wavelet subbands as input, and feeds them into the Res2Net group (R2NG) from high frequency to low frequency. R2NG consists of Res2Net modules and adopts spatial and channel attentions to adaptively enhance features. We combine the high frequency sub-band output with the low frequency sub-band in R2NG to capture multi-scale features. ME uses mixed convolution composed of dilated convolution and standard convolution as the basic block to expand the receptive field without blind spots in dilated convolution and further improve the reconstruction quality. Experimental results demonstrate that the proposed CNN filter achieves average 2.13 %, 2.63 %, 2.99 %, 4.8 %, 3.72 % and 4.5 % BD-rate reductions over VTM 11.0-NNVC anchor for Y channel on A1, A2, B, C, D and E classes of the common test conditions (CTC) in AI, RA and LDP configurations, respectively.

关键词： Convolutional neural network attention mechanism compressed video restoration dilated convolution wavelet

来源：评论

学校读者我要写书评

暂无评论

Adaptive multiscale image denoising using neural networks

Adaptive multiscale image denoising using neural networks

引用

International conference on Signal processing and communications (SPCOM)

作者： Srinivasan, M Annadurai, S Anna Univ Govt Coll Technol Coimbatore Tamil Nadu India

ISBN: (纸本)0780386744

An image is often corrupted by additive gaussian noise during its acquisition and transmission. Denoising has to be performed on these images to retain the signal and to suppress the noise. Denoising can be performed by various methods like thresholding, filtering etc. But these methods did not consider the local space scale information of the image. Here a new type of neural network is constructed for noise reduction, where the space scale information of the image is considered. This method gives a good numerical results and also better visual effects. Keywords: Denoising,Discrete Wavelet Transform, Continuous soft thresholding, Least Mean Square rule.

关键词： denoising discrete wavelet transform continuous soft thresholding Least mean square rule

来源：评论

学校读者我要写书评

暂无评论

Bit Allocation with visual Attention and visual Distortion Sensitivity 25

Bit Allocation with Visual Attention and Visual Distortion S...

引用

25th Signal processing and communications Applications conference (SIU)

作者： Pak, Mesut Bayazit, Ulug Istanbul Tech Univ Bilgisayar Muhendisligi Bolumu Istanbul Turkey

ISBN: (纸本)9781509064946

In this work, a novel bit allocation method based on visual attention and distortion sensitivity is developed for JPEG2000. Although, visual attention map for an image can be measured by using well-known saliency map methods, true visual attention map can be obtained by conducting experiments to determine fixation points and their durations. A perception model might turn these duration of fixations into visual attention levels. Besides visual attention, visual distortion sensitivity may guide the bit allocation process effectively. This is because human visual system is more sensitive to the distortion around the edges than the distortion in the complex textured areas. In this work, a novel visual distortion sensitivity method that considers all edges without using a threshold for gradient magnitude and uses local entropy of gradient orientation distribution is proposed. Thus, the visual attention and the distortion sensitivity level of each code-block determine its quantization parameters. Using bit allocation based on the visual attention map provides higher subjective evaluation score than using bit allocation based on the post compression rate-distortion optimization method or on a previously proposed method based on the saliency map. Secondly, it is shown that the use of visual distortion sensitivity allows higher objective evaluation scores to be attained.

关键词： visual perception attention human computer interaction eye fixation bit allocation visual distortion sensitivity image coding

来源：评论

学校读者我要写书评

暂无评论

Space-scale adaptive noise reduction in images based on thresholding neural network

Space-scale adaptive noise reduction in images based on thre...

引用

IEEE International conference on Acoustics, Speech, and Signal processing

作者： Zhang, XP Ryerson Polytech Inst Dept Elect & Comp Engn Toronto ON M5B 2K3 Canada

ISBN: (纸本)0780370414

Noise reduction has been a traditional problem in image processing. Recent wavelet thresholding based denoising methods proved promising, since they are capable of suppressing noise while maintaining the high frequency signal details. However, the local space-scale information of the image is not adaptively considered by standard wavelet thresholding methods. In this paper, a new type of thresholding neural networks (TNN) is presented with a new class of smooth nonlinear thresholding functions being the activation function. Unlike the standard soft-thresholding function, these new nonlinear thresholding functions are infinitely differentiable. Then a new nonlinear 2-D space-scale adaptive filtering method based on the wavelet TNN is presented for noise reduction in images. The numerical results indicate that the new method outperforms the Wiener filter and the standard wavelet thresholding denoising method in both peak-signal-to-noise-ratio (PSNR) and visual effect.

关键词： image processing

来源：评论

学校读者我要写书评

暂无评论

image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection

Image Resolution Enhancement by Using Interpolation Followed...

引用

21st Signal processing and communications Applications conference (SIU)

作者： Rasti, Pejman Demirel, Hasan Anbarjafari, Gholamreza Dogu Akdeniz Univ Elekt & Elekt Muhendisligi Bolumu Gazimagusa Cyprus Uluslararasl Kibras Univ Elekt & Elekt Muhendisligi Bolumu Nicosia Cyprus

ISBN: (纸本)9781467355636;9781467355629

In this paper, we propose a new super resolution technique based on the interpolation followed by registering them using iterative back projection (IBP). Low resolution images are being interpolated and then the interpolated images are being registered in order to generate a sharper high resolution image. The proposed technique has been tested on Lena, Elaine, Pepper, and Baboon. The quantitative peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) results as weil as the visual results show the superiority of the proposed technique over the conventional and state-of-art image super resolution techniques. For Lena's image, the PSNR is 6.52 dB high er than the bicubic interpolation.

关键词： Super resolution Iterative Back Projection image Registeration

来源：评论

学校读者我要写书评

暂无评论

A Comparison of Inpainting Techniques in image Reanimation 26

A Comparison of Inpainting Techniques in Image Reanimation

引用

26th IEEE Signal processing and communications Applications conference (SIU)

作者： Boncu, Ece Selin Ozkan, Savas Akar, Gozde Bozdagi Orta Dogu Tekn Univ Elekt Elekt Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781538615010

Inpainting applications include object removal on images and videos, crack filling, error concealment, texture synthesis, where in this paper, its usage for image coherence and perspective emphasis on video frames in 2D image-to-video conversion system is analysed. Besides, the performance of different techniques in object removal and image reconstruction is compared using visual experiments and quality metrics.

关键词： inpainting depth emphasis image reanimation

来源：评论

学校读者我要写书评

暂无评论

A Novel Edge-Preserving Mesh-Based Method for image Scaling

A Novel Edge-Preserving Mesh-Based Method for Image Scaling

引用

IEEE Pacific Rim conference on communications, Computers and Signal processing (PACRIM)

作者： Mostafavian, Seyedali Adams, Michael D. Univ Victoria Dept Elect & Comp Engn Victoria BC V8P 5C2 Canada

ISBN: (纸本)9781538607008

In this paper, we present a novel image scaling method that employs a mesh model that explicitly represents discontinuities in the image. Our method effectively addresses the problem of preserving the sharpness of edges, which has always been a challenge, during image enlargement. We use a constrained Delaunay triangulation to generate the model and an approximating function that is continuous everywhere except across the image edges (i.e., discontinuities). The model is then rasterized using a subdivision-based technique. visual comparisons and quantitative measures show that our method can greatly reduce the blurring artifacts that can arise during image enlargement and produce images that look more pleasant to human observers, compared to the well-known bilinear and bicubic methods.

关键词： image edge detection Interpolation image reconstruction Face Mesh generation visualization Computational modeling

来源：评论

学校读者我要写书评

暂无评论

FACE image processing BY TV FILTER AND SUPER-RESOLUTION

FACE IMAGE PROCESSING BY TV FILTER AND SUPER-RESOLUTION

引用

IEEE visual communications and image processing conference

作者： Goto, Tomio Hirano, Satoshi Sakurai, Masaru Nagoya Inst Technol Dept Comp Sci & Engn Nagoya Aichi Japan

ISBN: (纸本)9781479961399

The demand for human face enhancement in pictures is increasing. This paper describes an effort to utilize state-of-the-art signal processing technologies for the enhancement of the human face in pictures. First, several non-linear filters are examined, and it is demonstrated that the total variation regularization filter (TV filter) shows the remarkably best effect for skin smoothing including the removal of wrinkles, stains, moles, and freckles. The reason is analyzed in detail. Then, super-resolution technology is utilized to enhance the image quality for specific parts of the face, such as the eye line, pupil, eyelashes, and hair. Facial part extraction technology is also utilized for the enhancement of selected face parts. Interestingly, we found that the super-resolution technology not only improves the clarity of the image but also increases the brilliancy in the pupil and hair. The super-resolution technology used in this paper is based on the non-linear filtering method developed for 4K high-definition television.

关键词： Face image processing TV filter Super-resolution Facial part extraction

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414页 << < 26 27 28 29 30 31 32 33 34 35 > >>

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：