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

4,875 篇 会议
92 篇 期刊文献
21 册 图书

馆藏范围

4,988 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,832 篇 工学
- 1,759 篇 计算机科学与技术...
- 1,192 篇 信息与通信工程
- 931 篇 软件工程
- 878 篇 电气工程
- 272 篇 光学工程
- 138 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
1,054 篇 理学
- 755 篇 物理学
- 297 篇 数学
- 138 篇 生物学
- 82 篇 统计学（可授理学、...
- 53 篇 系统科学
- 50 篇 化学
251 篇 管理学
- 160 篇 管理科学与工程(可...
- 98 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
13 篇 农学
10 篇 文学
8 篇 经济学
6 篇 教育学
2 篇 艺术学

主题

562 篇 image coding
549 篇 image processing
354 篇 visual communica...
325 篇 visualization
307 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
128 篇 image color anal...
127 篇 image analysis
123 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

4,900 篇 英文
64 篇 土耳其文
28 篇 中文
10 篇 其他

检索条件"任意字段=Conference on Visual Communications and Image Processing 2007"

共 4988 条记录，以下是431-440 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：

Binocular Rivalry and Fusion Mechanisms Based No-Reference Stereoscopic image Quality Assessment Considering Feedback Guidance

Binocular Rivalry and Fusion Mechanisms Based No-Reference S...

引用

IEEE visual communications and image processing (VCIP)

作者： Haoxiang Chang Sumei Li Dongyue He Chen Zhang Tianjin University Tianjin China

With the growing popularity of 3D content and virtual reality applications, effective no-reference stereoscopic image quality assessment (NR-SIQA) methods have become increasingly important. In this paper, we propose a convolutional neural network (CNN) SIQA model based on binocular rivalry and fusion mechanisms of the human visual system (HVS). In order to get a better representation of binocular information, we propose Two-Stage Enhanced Fusion Module (TSEFM) that consists of two stages for monocular features enhancement and binocular features fusion, respectively. Given the dynamical characteristics of binocular rivalry phenomenon, the proposed Content-Aware Binocular Rivalry Fusion Module (CABRFM) dynamically and adaptively adjusts its output based on the input content. Additionally, considering that feedback mechanism of HVS is indispensable and significant, we introduce feedback connections during feature aggregation to realize the guidance of high-level features to low-level features. Extensive experimental results demonstrate the superiority of our method over state-of-the-art metrics, showcasing its excellent performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An algorithm for parallel processing of traffic signs video on a graphics processor

An algorithm for parallel processing of traffic signs video ...

引用

2022 International conference on Information Science and communications Technologies, ICISCT 2022

作者： Umarov, Mukhriddin Elov, Jamshid Khalilov, Sirojiddin Narzullayev, Inomjon Karimov, Marat Samarkand Br. of Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Dept. Department of Software Engineering Samarkand Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Dept. Department of Hardware and Software of Management Systems in Telecommunication Tashkent Uzbekistan Nurafshan Branch of Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Dept. Department of Information Technologies Tashkent Uzbekistan

ISBN: (纸本)9781665472296

In the lighting conditions such as snowing, hazing, raining, and weak lighting condition, the accuracy of traffic sign recognition is not very high. It is important to develop an algorithms for real-time fast detection of road signs from video images and use them in driver assistance systems. Firstly, we image preprocessing by using dark channel prior based image dehazing for remove noises from the input image. In this article, we develop a transposed image filtering method combined with other fast parallel filtering algorithms. We propose a high-speed and high-accuracy method by improving image dehazing algorithms and analyzing GPU architecture. In this, we quickly removing fog from HD video images using DCP with image quality and visual effects. © 2022 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Dual-Teacher Color and Structure Distillation for NIR image Colorization

Dual-Teacher Color and Structure Distillation for NIR Image ...

引用

IEEE visual communications and image processing (VCIP)

作者： Tae-Sung Park Jong-Ok Kim School of Electrical Engineering Korea University Seoul Korea

Near-infrared (NIR) imaging can acquire more details and textures with less noise in low-light environments compared to RGB. As a result, it has been widely used in low-light vision scenarios such as CCTV, autonomous driving, and military applications. However, applying NIR images to the human cognitive system and computer vision algorithms is challenging due to the lack of color information. Therefore, it is essential to colorize NIR images into RGB ones. We propose a teacher-student deep network with dual-teacher knowledge distillation to better estimate the original color and structure information. Specifically, our dual-teacher network is designed to separately teach distinct knowledge, such as color and structure qualities in an image, to the student. Finally, a color guided structure (CGS) and color embedding (CE) module are applied to fuse color and structure features. Our trained model can retain color consistency and detailed structure information of objects.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Fast Monocular visual-Inertial Odometry Using Point and Line Features 7

A Fast Monocular Visual-Inertial Odometry Using Point and Li...

引用

7th International conference on Signal and image processing, ICSIP 2022

作者： Shen, Weixiang Jia, Yongxing Zhu, Junchao Qian, Xiaojian Army Engineering University of PLA College of Communications Engineering Nanjing China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

Most SLAM systems using point feature reduce the pose accuracy or crash due to the small number of point features are extracted under the light-dark mutation environment or low texture area. In order to improve the robustness and pose accuracy of the SLAM, a fast monocular visual-inertial odometry using point and line features is proposed in this paper. Firstly, the point and line features of the image are extracted for feature matching, and the IMU measurement data is extracted as the initialization state estimation information of the sliding window. The following IMU measurements are pre-integrated to constrain the successive IMU body states during optimization. Secondly, the proposed VIO uses geometric constraints to delete point-line matching outliers, and point-line feature endpoints are projected into a normalized plane for triangulation to build re-projection residuals. Finally, after obtaining the initial estimation of this system and the IMU body state predicted by IMU measurement, the sliding window optimization method is used to get the precise position of camera. The experiments are evaluated on public datasets (EuRoc MAV dataset and PennCOSYVIO dataset). The pose accuracy of this algorithm is more accurate than VINS-mono, and the speed is faster than PL-VIO. © 2022 IEEE.

关键词： Textures

来源：评论

学校读者我要写书评

暂无评论

Memory-Efficient Point Cloud Registration via Overlapping Region Sampling

Memory-Efficient Point Cloud Registration via Overlapping Re...

引用

IEEE visual communications and image processing (VCIP)

作者： Tomoyasu Shimada Kazuhiko Murasaki Shogo Sato Toshihiko Nishimura Taiga Yoshida Ryuichi Tanida NTT Corporation Japan

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Recent advances in deep learning have improved 3D point cloud registration but increased graphics processing unit (GPU) memory usage, often requiring preliminary sampling that reduces accuracy. We propose an overlapping region sampling method to reduce memory usage while maintaining accuracy. Our approach estimates the overlapping region and intensively samples from it, using a k-nearest-neighbor (kNN) based point compression mechanism with multi layer perceptron (MLP) and transformer architectures. Evaluations on 3DMatch and 3DLoMatch datasets show our method outperforms other sampling methods in registration recall, especially at lower GPU memory levels. For 3DMatch, we achieve 94% recall with 33% reduced memory usage, with greater advantages in 3DLoMatch. Our method enables efficient large-scale point cloud registration in resource-constrained environments, maintaining high accuracy while significantly reducing memory requirements.

关键词： Point cloud compression Three-dimensional displays Accuracy image coding visual communication Memory management Graphics processing units Sampling methods Transformers Hardware

来源：评论

学校读者我要写书评

暂无评论

Draft-and-Revise: Effective image Generation with Contextual RQ-Transformer 36

Draft-and-Revise: Effective Image Generation with Contextual...

引用

36th conference on Neural Information processing Systems (NeurIPS)

作者： Lee, Doyup Kim, Chiheon Kim, Saehoon Cho, Minsu Han, Wook-Shin Kakao Brain Seongnam South Korea POSTECH Pohang South Korea

ISBN: (纸本)9781713871088

Although autoregressive models have achieved promising results on image generation, their unidirectional generation process prevents the resultant images from fully reflecting global contexts. To address the issue, we propose an effective image generation framework of Draft-and-Revise with Contextual RQ-transformer to consider global contexts during the generation process. As a generalized VQ-VAE, RQ-VAE first represents a high-resolution image as a sequence of discrete code stacks. After code stacks in the sequence are randomly masked, Contextual RQ-Transformer is trained to infill the masked code stacks based on the unmasked contexts of the image. Then, we propose the two-phase decoding, Draft-and-Revise, for Contextual RQ-Transformer to generate an image, while fully exploiting the global contexts of the image during the generation process. Specifically. in the draft phase, our model first focuses on generating diverse images despite rather low quality. Then, in the revise phase, the model iteratively improves the quality of images, while preserving the global contexts of generated images. In experiments, our method achieves state-of-the-art results on conditional image generation. We also validate that the Draft-and-Revise decoding can achieve high performance by effectively controlling the quality-diversity trade-off in image generation.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Learning-based Lossless Event Data Compression

Learning-based Lossless Event Data Compression

引用

IEEE visual communications and image processing (VCIP)

作者： Ahmadreza Sezavar Catarina Brites João Ascenso Instituto Superior Técnico Instituto de Telecomunicações Instituto Universitário de Lisboa (ISCTE-IUL) Instituto de Telecomunicações

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Emerging event cameras acquire visual information by detecting time domain brightness changes asynchronously at the pixel level and, unlike conventional cameras, are able to provide high temporal resolution, very high dynamic range, low latency, and low power consumption. Considering the huge amount of data involved, efficient compression solutions are very much needed. In this context, this paper presents a novel deep-learning-based lossless event data compression scheme based on octree partitioning and a learned hyperprior model. The proposed method arranges the event stream as a 3D volume and employs an octree structure for adaptive partitioning. A deep neural network-based entropy model, using a hyperprior, is then applied. Experimental results demonstrate that the proposed method outperforms traditional lossless data compression techniques in terms of compression ratio and bits per event.

关键词： Adaptation models visualization image coding visual communication Octrees Data compression Cameras Entropy Data models Time-domain analysis

来源：评论

学校读者我要写书评

暂无评论

Warm-start NeRF: Accelerating Per-scene Training of NeRF-based Light-Field Representation

Warm-start NeRF: Accelerating Per-scene Training of NeRF-bas...

引用

IEEE visual communications and image processing (VCIP)

作者： Takuto Nishio Chihiro Tsutake Keita Takahashi Toshiaki Fujii Nagoya University Japan

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

A light field is represented as a set of multi-view images captured from a dense 2-D array of viewpoints. To treat a light field as being continuous, we represent it as a neural radiance field (NeRF), which is a learned representation of a 3-D scene. NeRFs are renowned for their ability to reconstruct a target 3-D scene with compelling visual quality, but they are slow to train. A solution for this problem is to use a tiny neural network and trainable volumetric features as the scene representation, which is considered the baseline of our research. For further acceleration, we propose a method for warm-starting the per-scene training by setting good initial values for the trainable parameters. To this end, we introduce another encoder network to obtain the initial volumetric features from the target light field. Starting with the appropriate initial values, our method can achieve better rendering quality with fewer training iterations than the baseline.

关键词： Training visualization Three-dimensional displays visual communication Neural networks Neural radiance field Rendering (computer graphics) Light fields image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Low-Rate Feature Compression for Humans and Machines with Dual Aggregation Attention

Low-Rate Feature Compression for Humans and Machines with Du...

引用

IEEE visual communications and image processing (VCIP)

作者： Ruixi Ma Ping An Shipei Wang Xinpeng Huang Chao Yang School of Communication and Information Engineering Shanghai University China

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

The Collaborative Intelligence (CI) framework offers innovative approaches for deploying Deep Neural Networks (DNNs). However, the limitations of communication resources require minimizing the transmission of bits between the edge and cloud devices to meet the requirements of both machine recognition and human perception. Previous research has demonstrated that the transmission of intermediate layer features of the vision backbone can achieve superior performance in machine vision tasks at very low bit rates without consuming additional bits. Nonetheless, the reduced bit rate poses challenges for image reconstruction. We propose a CI framework that compresses the intermediate features of the Swin Transformer and utilizes a Feature Recovery Module (FRM) to restore crucial information for image reconstruction, thereby satisfying both machine and human visual tasks at low bit rates. Additionally, we introduce a Residual Dual-attention Aggregation Block (RDAB) that exploits both local and global information for effective compression and reconstruction. We conducted experiments on the CUB_200_2011 dataset. The results demonstrate that the proposed method delivers superior performance at low-rate scenarios.

关键词： Performance evaluation visualization image coding visual communication Machine vision Bit rate Transformers image restoration image reconstruction Collaborative intelligence

来源：评论

学校读者我要写书评

暂无评论

ReLI-QA: A Multidimensional Quality Assessment Dataset for Relighted Human Heads

ReLI-QA: A Multidimensional Quality Assessment Dataset for R...

引用

IEEE visual communications and image processing (VCIP)

作者： Yingjie Zhou Zicheng Zhang Farong Wen Jun Jia Xiongkuo Min Jia Wang Guangtao Zhai Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China PengCheng Laboratory China

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Lighting conditions significantly affect the quality of both real and AI-generated images. Facial images are particularly sensitive to lighting due to their detailed nature and the importance of facial features in conveying identity. Poor lighting can easily obscure these critical details. To address this issue, various portrait relighting methods have been developed to adjust the lighting in improperly exposed images. However, these methods often encounter challenges such as overexposure, underexposure, and detail loss in the relighted portraits. Consequently, there is a need for effective quality assessment and control of relighted human heads (RHHs). In this study, one proposed simple baseline and three typical relighting methods are applied to six selected human head (HH) images, resulting in the creation of a quality assessment dataset named ReLI-QA, which comprises 840 RHHs. A multidimensional subjective quality assessment method based on visual guidance is proposed to accurately evaluate the visual quality of each RHH in the dataset. By analyzing the results of subjective experiments, the quality of RHHs is shown to be affected by multiple factors. Finally, based on ReLI-QA, some typical image quality assessment (IQA) methods are selected for benchmark experiments. The experimental results show the limitations of the existing methods in RHH quality assessment. The dataset and code for this research has been released at https://***/zyj-2000/ReLI-QA.

关键词： image quality visualization Head visual communication image processing Lighting Benchmark testing Quality assessment Research and development Facial features

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499页 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：