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

3,997 篇 会议
67 篇 期刊文献
17 册 图书

馆藏范围

4,081 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,310 篇 工学
- 1,475 篇 计算机科学与技术...
- 1,051 篇 信息与通信工程
- 849 篇 软件工程
- 644 篇 电气工程
- 275 篇 光学工程
- 114 篇 生物工程
- 111 篇 电子科学与技术（可...
- 84 篇 控制科学与工程
- 79 篇 机械工程
- 79 篇 生物医学工程（可授...
- 70 篇 仪器科学与技术
- 34 篇 化学工程与技术
- 32 篇 网络空间安全
- 25 篇 动力工程及工程热...
- 23 篇 安全科学与工程
- 15 篇 轻工技术与工程
1,031 篇 医学
- 1,011 篇 临床医学
- 37 篇 基础医学(可授医学...
- 28 篇 药学(可授医学、理...
- 19 篇 特种医学
1,006 篇 理学
- 765 篇 物理学
- 289 篇 数学
- 122 篇 生物学
- 78 篇 统计学（可授理学、...
- 35 篇 化学
- 32 篇 系统科学
157 篇 管理学
- 84 篇 管理科学与工程(可...
- 80 篇 图书情报与档案管...
- 20 篇 工商管理
31 篇 法学
- 28 篇 社会学
12 篇 军事学
10 篇 文学
8 篇 农学
6 篇 经济学
5 篇 教育学
1 篇 艺术学

主题

522 篇 image coding
383 篇 image processing
356 篇 visual communica...
314 篇 visualization
239 篇 feature extracti...
232 篇 image segmentati...
178 篇 image compressio...
169 篇 image reconstruc...
150 篇 video coding
136 篇 training
126 篇 cameras
126 篇 humans
125 篇 image quality
119 篇 image color anal...
108 篇 image enhancemen...
108 篇 image edge detec...
103 篇 deep learning
92 篇 motion estimatio...
89 篇 decoding
89 篇 image analysis

机构

37 篇 shanghai jiao to...
31 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...
11 篇 institute of ima...
10 篇 univ sci & techn...
10 篇 peking univ inst...
10 篇 shanghai jiao to...
9 篇 zhejiang univers...
9 篇 tsinghua univ de...
9 篇 school of electr...
9 篇 xidian univ sch ...
8 篇 school of remote...

作者

36 篇 zhai guangtao
26 篇 sumei li
25 篇 song li
23 篇 guangtao zhai
22 篇 li sumei
20 篇 min xiongkuo
18 篇 li li
18 篇 li song
16 篇 dong liu
16 篇 yang xiaokang
16 篇 shan liu
15 篇 xiongkuo min
15 篇 andré kaup
14 篇 chen zhibo
13 篇 xie rong
12 篇 gao wen
11 篇 heming sun
11 篇 zhibo chen
11 篇 zhenzhong chen
11 篇 gao zhiyong

语言

4,003 篇 英文
49 篇 土耳其文
25 篇 中文
21 篇 其他

检索条件"任意字段=Visual Communications and Image Processing 1998 Conference"

共 4081 条记录，以下是611-620 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：

Fuzzy Clustering to Encode Contextual Information in Artistic image Classification 19th

Fuzzy Clustering to Encode Contextual Information in Artis...

引用

19th International conference on Information processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2022

作者： Fumanal-Idocin, Javier Takáč, Zdenko Horanská, L’ubomíra Bustince, Humberto Cordon, Oscar Public University of Navarra Pamplona Spain Institute of Information Engineering Automation and Mathematics Slovak University of Technology in Bratislava Bratislava Slovakia DaSCI Research Institute and DECSAI University of Granada Granada Spain

ISBN: (纸本)9783031089732

Automatic art analysis comprises of utilizing diverse processing methods to classify and categorize works of art. When working with this kind of pictures, we have to take under consideration different considerations compared to classical picture handling, since works of art alter definitely depending on the creator, the scene delineated or their aesthetic fashion. This extra data improves the visual signals gotten from the images and can lead to better performance. However, this information needs to be modeled and embed alongside the visual features of the image. This is often performed utilizing deep learning models, but they are expensive to train. In this paper we utilize the Fuzzy C-Means algorithm to create a embedding strategy based on fuzzy memberships to extract relevant information from the clusters present in the contextual information. We extend an existing state-of-the-art art classification system utilizing this strategy to get a new version that presents similar results without training additional deep learning models. © 2022, Springer Nature Switzerland AG.

关键词： image classification

来源：评论

学校读者我要写书评

暂无评论

RGB-Based Secret Sharing Illumination-Light communications with VN-CodeSK 11

RGB-Based Secret Sharing Illumination-Light Communications w...

引用

11th IEEE Global conference on Consumer Electronics, GCCE 2022

作者： Hazu, Ryohei Kozawa, Yusuke Habuchi, Hiromasa Ibaraki University Graduate School of Science and Engineering Hitachi Japan Faculty of Engineering Ibaraki University Hitachi Japan

ISBN: (纸本)9781665492324

In illumination-light communications, interference from adjacent illumination-light degrades error rate performance. To deal with the interference light, methods, Which utilize interference introducing visual Secret Sharing, have proposed. Extensions of those schemes to RGB parallel transmission have also been proposed. However, the conventional methods do not provide interference suppression and dimming control functions. In this paper, a system, which introduces Variable N-Code Shift Keying to the RGB-Based conventional system, is proposed. Consequently, it is found that the proposed system can improve error rate performance of the conventional system. © 2022 IEEE.

关键词： Visible light communication

来源：评论

学校读者我要写书评

暂无评论

NeRV++: An Enhanced Implicit Neural Video Representation

NeRV++: An Enhanced Implicit Neural Video Representation

引用

IEEE visual communications and image processing (VCIP)

作者： Ahmed Ghorbel Wassim Hamidouche Luce Morin Univ Rennes INSA Rennes CNRS IETR Rennes France

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Neural fields, also known as implicit neural representations (INRs), have shown a remarkable capability of representing, generating, and manipulating various data types, allowing for continuous data reconstruction at a low memory footprint. Though promising, INRs applied to video compression still need to improve their rate-distortion performance by a large margin, and require a huge number of parameters and long training iterations to capture high-frequency details, limiting their wider applicability. Resolving this problem remains a quite challenging task, which would make INRs more accessible in compression tasks. We take a step towards resolving these shortcomings by introducing neural representations for videos (NeRV)++, an enhanced implicit neural video representation (INVR), as more straightforward yet effective enhancement over the original NeRV decoder architecture, featuring separable conv2d residual blocks (SCRBs) that sandwiches the upsampling block (UB), and a bilinear interpolation skip layer for improved feature representation. NeRV++ allows videos to be directly represented as a function approximated by a neural network, and significantly enhance the representation capacity beyond current INR-based video codecs. We evaluate our method on UVG, MCL JVC, and Bunny datasets, achieving competitive results for video compression with INRs. This achievement narrows the gap to autoencoder-based video coding, marking a significant stride in INR-based video compression research. The code of NeRV++ is available on GitHub.

关键词： Video coding Training image coding Limiting visual communication Neural networks Rate-distortion Video compression Video codecs Software development management

来源：评论

学校读者我要写书评

暂无评论

Dynamic Volumetric Video Coding with Tensor Decomposition

Dynamic Volumetric Video Coding with Tensor Decomposition

引用

IEEE visual communications and image processing (VCIP)

作者： Ju-Yeon Shin Yeoneui Kim Je-Won Kang Gun Bang Dept. of Electronic and Electrical Engineering and Graduate Program in Smart Factory Ewha Womans University Seoul South Korea Electronics and Telecommunications Research Institute Daejeon South Korea

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Recently, volumetric video coding based on neural radiance fields has gained significant attention for storing and transmitting three-dimensional (3D) scenes captured from multi-view video. Because the neural networks are trained to produce novel view synthesis of surrounding 3D scenes, compressing the model and then rendering the colors and geometry through the decompressed model can be utilized as a 3D video coding system. However, although this approach provides superior performance compared to conventional 3D video coding standards using depth video, challenges remain in reducing overall model sizes to improve coding efficiency. In this paper, we propose a novel dynamic volumetric video coding technique that employs a Group of Volume (GoV) to divide multi-view video sequences into smaller chunks, addressing complex temporal dynamics. Our method uses volumetric video features represented with 3D spatial and temporal tensor matrices and vectors and encodes them with the GoVs. The tensors are compressed by existing 2D video codec, allowing for fast rendering and easing deployment. Experimental results validate that our method not only reduces memory footprint but also maintains high-quality rendering as compared to state-of-the-art studies.

关键词： Video coding Solid modeling Three-dimensional displays image coding Tensors visual communication Video sequences Rendering (computer graphics) Video codecs Standards

来源：评论

学校读者我要写书评

暂无评论

VoiceCap: Automatic image Captioning and Voice Generation

VoiceCap: Automatic Image Captioning and Voice Generation

引用

International conference on Computer and communications Technologies (ICCCT)

作者： Sankari Subbiah Sudha G Saranya S Bharathan S Department of Information Technology Sri Sai Ram Engineering College Chennai India Department of Electronics and Communication Engineering Sri Sai Ram Engineering College Chennai India

ISBN: (数字)9798331537579

ISBN: (纸本)9798331537586

One of the most in-demand resources in the contemporary period is picture captioning. In addition, there are built-in apps that use models from deep neural networks to create and provide a caption for a specific picture. picture captioning refers to the process of creating a description for a picture. It entails identifying key elements in a picture, as well as those items properties and the connections between them. Syntactically and semantically sound sentences are produced by it. VoiceCap is an innovative software for smartphones that uses sophisticated deep learning algorithms to automatically provide audio descriptions for photos and videos. Making sure people with all kinds of visual impairments can enj oy visual material to the fullest is its primary goal in advocating accessibility and inclusion. The VoiceCap cross-platform solution uses a combination of computer vision and natural language processing algorithms to generate spoken and text-based captions for user-uploaded photographs and videos. The captions' correctness and relevance to context are guaranteed by a state-of-the-art Vision-Encoder-Decoder Model.

关键词： Deep learning visualization Computational modeling visual impairment Software algorithms Natural language processing Software Smart phones Videos Context modeling

来源：评论

学校读者我要写书评

暂无评论

Compressing 3D Gaussian Splatting via a Generalizable Neural Coder

Compressing 3D Gaussian Splatting via a Generalizable Neural...

引用

IEEE visual communications and image processing (VCIP)

作者： Junteng Zhang Tong Chen Hao Zhu Dong Wang Dandan Ding Zhan Ma Nanjing University Nanjing China Interdisciplinary Research Center for Future Intelligent Chips (Chip-X) Nanjing University Suzhou China OPPO Inc. Nanjing China Hangzhou Normal University Hangzhou China

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

As a promising technique for 3D representation, 3D Gaussian Splatting (3DGS) offers fast rendering speed and high fidelity while generating large data volumes. This challenges storage and transmission, so an efficient compression solution is required. Existing implicit methods require pre-scene optimization (online), leading to a long optimization time. By contrast, this paper regards the 3DGS as a point cloud and pre-trains a generalizable (offline) neural coder for compression. After obtaining the 3DGS representation, we focus on the data compression process, which is friendly to applications already equipped with a PCC codec. The neural coder employed is extended from a typical AIbased point cloud compression method, which uses a multiscale and multistage framework to exploit spatial correlations across scales and stages for conditional coding. Experimental results show that our method significantly outperforms existing 3DGS representations without compromising fidelity, achieving more than 39× and 6.8× compression ratio compared to the original 3DGS and SOTA Scaffold-GS, respectively. More importantly, our approach does not require additional time to optimize the compression model.

关键词： Point cloud compression image coding Three-dimensional displays Correlation Codecs visual communication Rendering (computer graphics) Optimization

来源：评论

学校读者我要写书评

暂无评论

Enhancing image Denoising Performance through a Family of Algorithms

Enhancing Image Denoising Performance through a Family of Al...

引用

International conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal processing (PCEMS)

作者： Omkar Gupta Irika Nikhita Kalapala Kishor M. Bhurchandi Department of Electronics and Communication Engineering Visvesvaraya National Institute of Technology Nagpur India

images are an integral and indispensable aspect of various disciplines, such as medicine, surveillance, and the entertainment industry. However, the quality of images can be severely compromised by the presence of sensor noise, quantization errors, or transmission errors. This research proposes a novel approach that combines wavelet thresholding and BM3D (Block-Matching and 3D Filtering) techniques for effective image *** efficacy of the methodologies is evaluated and compared to cutting-edge denoising techniques, demonstrating superior performance in both quantitative metrics and visual quality. Furthermore, the study delves into the intricate mechanisms underlying the denoising process and the impact of various parameters on the denoising performance, contributing significantly to the field of image denoising.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Remote Temperature Monitoring for Infant Incubator using Thermal Camera 14

Remote Temperature Monitoring for Infant Incubator using The...

引用

14th Biomedical Engineering International conference (BMEiCON)

作者： Chuenpirom, Thanaporn Srirussamee, Kasama Pintavirooj, Chuchart Kings Mongkut Inst Technol Ladkrabang KMITL Sch Engn Bangkok Thailand

ISBN: (纸本)9781665489034

Health concerns over the premature babies are their immature organs and low birth weight. As a result, these babies may have difficulty in breathing, maintaining their healthy body temperature or being light sensitive. Infant incubator has been designed to overcome these issues. It is a medical device that could provide healthy environment, such as light, temperature and humidity. Moreover, it is also able to control and detect any changes which affect the baby's health. Health monitoring systems are critical in modern incubators, which could involve a set of sensors to read and send physiological information, such as temperature. It has also been proposed that establishing remote monitoring system via global system for mobile communications (GSM) would be beneficial for the incubators as it could send an alarm to the doctors and parents in the event that unhealthy vital parameters have been detected. Although a variety of vital parameters are included in the monitoring features of some modern incubators, the capability to detect body temperature of the babies are limited. Hence, this project proposes the development of an effective low-cost smart infant incubator that will benefit the body temperature monitoring of newborn babies using remote IoT-based monitoring system. The monitoring system is controlled through the use of a Raspberry Pi attached to a visual camera and a thermal IR camera with temperature sensor MLX90640, which was able to measure the body temperature remotely. The software of this smart infant incubator was used to improve monitoring system, which involves image processing techniques. The results of measured ambient temperature were found to be accurate and reliable. The prototypical incubator has been designed and manufactured with affordable cost, and the control system of the incubator was able to work comparably to other incubators with potential capability to measure body temperature of the infant.

关键词： Infant incubator IoT image processing

来源：评论

学校读者我要写书评

暂无评论

Multi-Direction Strategy with Honey Badger Algorithm and Convolutional Neural Network for Industrial Robot visual Servo image processing

Multi-Direction Strategy with Honey Badger Algorithm and Con...

引用

Intelligent Algorithms for Computational Intelligence Systems (IACIS), International conference on

作者： Hao Chen Deppartment of Engineering & Mechanics Jilin Communications Polytechnic Changchun China

ISBN: (数字)9798350360660

ISBN: (纸本)9798350360677

The Industrial robot visual servo image processing requires highly autonomous and intelligence robotic manipulators, with goal of performing manipulation tasks independently without human interventions. However, limit efficiency for large scale, sensitive to noise in input data which affect classification accuracy. This paper, proposed Multi-Direction Strategy with Honey Badger Algorithm (MHBA) and Convolutional Neural Network (CNN) for classification is effectively explore the hyper parameter space of CNN technique is help achieve classification accuracy. The MHBA ability to adapt and explore multiple directions in the parameter space makes CNN maximum efficient to variation in input data. The MHBA model is applied to large scale CNN model is efficiently narrowing down the search space and balances exploration and exploitation allowing for search space. The Pre-processing using linear transformation such as translation or rotation help in adjusting the image dimension while maintaining the essential content. The proposed MHBA-CNN technique for industrial robot is achieving better outcomes such as Mean Absolute Error (MAE) of 2.03, Mean Absolute Scaled Error (MASE) of 3.45, R 2 score of 2.45 on raw dataset. The existing technique such as Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM) are evaluated of proposed method.

关键词： Adaptation models visualization Recurrent neural networks Accuracy Industrial robots Space exploration Classification algorithms Convolutional neural networks Servomotors Long short term memory

来源：评论

学校读者我要写书评

暂无评论

Turkish image Captioning with Vision Transformer Based Encoders and Text Decoders

Turkish Image Captioning with Vision Transformer Based Encod...

引用

IEEE Signal processing and communications Applications (SIU)

作者： Serdar Yıldız Abbas Memiş Songül Varlı Bilgisayar Mühendisliği Bölümü Yıldız Teknik Üniversitesi İstanbul Türkiye BİLGEM TÜBİTAK Kocaeli Türkiye Bilgisayar Mühendisliği Bölümü İstanbul Üniversitesi İstanbul Türkiye Türkiye Sağlık Enstitüleri Başkanlığı İstanbul Türkiye

ISBN: (数字)9798350388961

ISBN: (纸本)9798350388978

image captioning is defined as the process of describing of images by computer systems automatically. Thus, visual information regarding the content of the images is expressed in textual form. This paper presents a deep learning-based Turkish image captioning study implemented by using vision transformers and text decoders. In the proposed study, images are initially encoded with a vision transformer-based module. Afterwards, the features of the encoded image are normalized by passing them through a feature projection module. In the final stage, image captions are generated via a text decoder block. To test the performance of the Turkish image captioning system presented in this paper, TasvirEt, a benchmark dataset consisting of Turkish image captions, was used. In the tests performed, quite successful results were observed and a BLEU-1 value of 0.3406, a BLEU-2 value of 0.2110, a BLEU-3 value of 0.1253, a BLEU-4 value of 0.0690, a METEOR value of 0.1610, a ROUGE-L value of 0.3145 and a CIDEr value of 0.3879 were measured.

关键词： Computer vision visualization Signal processing Benchmark testing Transformers Decoding Meteors

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409页 << < 58 59 60 61 62 63 64 65 66 67 > >>

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：