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

3,427 篇 会议
28 篇 期刊文献
14 册 图书

馆藏范围

3,469 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,948 篇 工学
- 1,273 篇 计算机科学与技术...
- 956 篇 信息与通信工程
- 688 篇 软件工程
- 523 篇 电气工程
- 190 篇 光学工程
- 108 篇 生物工程
- 80 篇 电子科学与技术（可...
- 62 篇 生物医学工程（可授...
- 61 篇 控制科学与工程
- 60 篇 仪器科学与技术
- 54 篇 机械工程
- 33 篇 化学工程与技术
- 32 篇 网络空间安全
- 23 篇 动力工程及工程热...
- 22 篇 安全科学与工程
- 13 篇 土木工程
- 13 篇 交通运输工程
959 篇 医学
- 951 篇 临床医学
- 29 篇 基础医学(可授医学...
- 26 篇 药学(可授医学、理...
775 篇 理学
- 574 篇 物理学
- 193 篇 数学
- 114 篇 生物学
- 53 篇 统计学（可授理学、...
- 33 篇 化学
- 29 篇 系统科学
133 篇 管理学
- 71 篇 管理科学与工程(可...
- 70 篇 图书情报与档案管...
- 17 篇 工商管理
30 篇 法学
- 28 篇 社会学
11 篇 军事学
9 篇 文学
5 篇 经济学
5 篇 农学
4 篇 教育学

主题

418 篇 image coding
349 篇 visual communica...
307 篇 image processing
290 篇 visualization
221 篇 feature extracti...
176 篇 image segmentati...
147 篇 image compressio...
139 篇 training
136 篇 video coding
130 篇 image reconstruc...
117 篇 image color anal...
107 篇 cameras
102 篇 image quality
99 篇 deep learning
95 篇 image enhancemen...
88 篇 image edge detec...
85 篇 humans
83 篇 three-dimensiona...
77 篇 motion estimatio...
76 篇 decoding

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

语言

3,404 篇 英文
49 篇 土耳其文
23 篇 中文
8 篇 其他

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

共 3469 条记录，以下是51-60 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：

Detecting Emotions of MEMEs Using a Hybrid Approach of Deep Learning

Detecting Emotions of MEMEs Using a Hybrid Approach of Deep ...

引用

3rd International conference on Advancements in Smart Computing and Information Security, ASCIS 2024

作者： Patel, Monali Diwanji, Hiteishi L.J University Gujarat Ahmedabad India L.D Engineering College Gujarat Ahmedabad India

ISBN: (纸本)9783031862892

Memes have evolved into a powerful tool for social interaction on platforms like Twitter, Instagram, Facebook, Pinterest, where they communicate complex emotions through a blend of images, text, and emojis. In this research, we propose a hybrid deep learning model that not only processes the textual components but also integrates the expressive use of emojis to better capture the nuanced emotions embedded in memes. While traditional sentiment analysis approaches often fall short in understanding these intricate emotional cues, our deep learning approach aims to overcome these challenges. By leveraging multimodal features—the textual content alongside visual cues like emojis. We provide a more holistic method for detecting and classifying emotions in memes, enhancing the accuracy of sentiment detection. Our research also distinguishes itself by focusing specifically on harmful, offensive, and trolling content, using hybrid deep learning models that integrate both Natural Language processing (NLP) techniques and image recognition. This approach not only enables the system to detect sentiment but also classifies different types of toxic behavior (like trolling) that are prevalent in meme culture. The dataset used for experimentation contains a range of memes annotated with these emotional and behavioral labels. In sum, this study contributes to the existing literature by presenting an advanced, context-aware method for meme classification, emphasizing the importance of both text and visual elements. The experiments conducted showcase the effectiveness of our model in accurately detecting complex emotional expressions, particularly in memes designed to provoke or offend. This research pushes the boundaries of meme analysis, helping to mitigate online toxicity while providing new tools for sentiment analysis. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： context-aware method Deep learning emotion detection Multimodal features Natural Language processing

来源：评论

学校读者我要写书评

暂无评论

Proceedings of SPIE: visual communications and image processing 2003

Proceedings of SPIE: Visual Communications and Image Process...

引用

visual communications and image processing 2003

This Volume 5150 Part 2 of 2 parts of the conference proceedings contains 73 papers. Topics discussed include coding standard, image and video security and watermarking, MPEG video coding standard, error resilient coding, image and video segmentation, visualization, systems and architectures, three dimensional image processing, object based coding, image compression beyond wavelets, semantic characterization of multimedia documents, image based rendering and related technologies, image and video enhancement and image and video coding.

关键词： visual communication

来源：评论

学校读者我要写书评

暂无评论

Accelerating Traditional Object Detection Methods on Sophisticated Embedded Systems 4th

Accelerating Traditional Object Detection Methods on Sophis...

引用

4th International conference on Intelligent Systems and Pattern Recognition, ISPR 2024

作者： Sehairi, Kamal Bouhafs, Abdelkader Boucherit, Ibtissam Mama Bouwmans, Thierry Chouireb, Fatima Department of Physics Laboratory of Applied Sciences and Didactics École Normale Supérieure de Laghouat Laghouat Algeria Department of Electronics Telecommunication Signals and Systems Laboratory University Amar Telidji of Laghouat Laghouat Algeria Department of Computer Science Lab. Mathématiques Image et Applications Université de La Rochelle La Rochelle France

ISBN: (纸本)9783031821523

Identifying and locating objects in images and videos, including elements like traffic signs, vehicles, buildings, and people, constitutes a fundamental and demanding task in computer vision, known as object detection. Due to the higher computing complexity of this technique and the large amount of data carried by the video signal, it is nearly impossible for ordinary general-purpose processors GPPs or CPUs to run these techniques in real-time, especially for embedded systems applications. Therefore, special hardware that can acquire, control, or execute in parallel is required. These specialized hardware systems include Digital Signal Processors DSPs, Field Programmable Gate Arrays FPGAs, visual processing Units VPUs, Tensor processing Units TPUs, Neural processing Units NPUs or Graphics processing Units GPUs. This work presents the benefits of accelerating traditional object detection methods on a high-end embedded system, the Jetson Nano Developer Kit. This single computer board is equipped with the Tegra K1 System on Chip SoC, which is composed of a quad-core ARM A15 and 192 cores of Kepler-embedded GPU. Computing acceleration was ensured via the use of the CUDA OpenCV library for both the Histogram of Oriented Gradients HOG and the Haar Cascade Classifier. For VGA resolution, results reveal that the GPU implementation on this embedded system is 1.4× faster than the CPU for the HOG method and 2× for the Haar Cascade Classifier method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： System-on-chip

来源：评论

学校读者我要写书评

暂无评论

MKD-YOLO: Multi-Scale and Knowledge-Distilling YOLO for Efficient PPE Compliance Detection

MKD-YOLO: Multi-Scale and Knowledge-Distilling YOLO for Effi...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Juntao Zan Yang Fang Qilie Liu Uswah Khairuddin Yan Li Kaiwei Sun School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications Chongqing China Malaysia-Japan International Institute of Technology University of Technology Malaysia Kuala Lumpur Malaysia Department of Electrical and Computer Engineering Inha University Incheon South Korea Key Laboratory of Data Engineering and Visual Computing Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

YOLO-based models are widely used for personal protective equipment (PPE) compliance detection due to their excellent detection performance and efficiency. However, most YOLO models are not competent for detection tasks in complex industrial scenarios such as remote surveillance and extremely small targets. In addition, there is a lack of effective model lightweighting and knowledge transfer approaches for industrial deployment. To this end, this paper proposes a Multi-scale and Knowledge-Distilling YOLO (MKD-YOLO) based on YOLOv8n for efficient PPE compliance detection. Specifically, in backbone stage, we design an Efficient Multi-Scale Enhanced Convolution (C2f-EMSEC) module and Large Spatial Pyramid Pooling-Fast (LSPPF) module for multi-scale and global-contextual feature learning as well as reducing model complexity. Then, in neck stage, a refined Bidirectional feature Pyramid Network (BPNet) is designated to capture fine-grained details for extremely small object detection. Moreover, we apply channel-wise knowledge distillation to facilitate model lightweighting and domain-specific knowledge transfer learning. Experiments on our proposed dataset and public datasets show that the proposed MKD-YOLO achieves a new state-of-the-art (SOTA) detection performance and efficiency for practical PPE compliance detection tasks. Codes and the dataset are available at https://***/z1Zjt/MKD-YOLO.

关键词： Personal protective equipment YOLO Representation learning Convolution Surveillance Speech enhancement Feature extraction Neck Kernel Knowledge transfer

来源：评论

学校读者我要写书评

暂无评论

Proceedings of SPIE: visual communications and image processing 2003

Proceedings of SPIE: Visual Communications and Image Process...

引用

visual communications and image processing 2003

This Volume 5150 Part 1 of 3 parts of the conference proceedings contains 73 papers. Topics discussed include object based video, extraction tools, evaluation metrics and applications, immersive three dimensional video communication, stereo imaging, scalable coding, rate control, object tracking, image and video segmentation, image retrieval, image and video indexing, internet video and streaming, video quality assessment and motion compensated wavelet coding.

关键词： visual communication

来源：评论

学校读者我要写书评

暂无评论

Digital image processing and visual communications Technologies in the Earth and Atmospheric Sciences II

Digital Image Processing and Visual Communications Technolog...

引用

Digital image processing and visual communications Technologies in the Earth and Atmospheric Sciences II

ISBN: (纸本)0819410209

This conference proceedings contains 23 papers. The topics discussed are earth imagery, remote sensing, geographical information systems, multispectral imagery, map databases, image databases, image storage and retrieval, visualization, environmental monitoring, forest monitoring, ocean monitoring, image processing, image analysis, neural network applications, feature extraction, computer vision, vision algorithms, and learning algorithms.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

A 3D MRI Brain image Segmentation and Reconstruction System Based on Augmented Reality Technology 10th

A 3D MRI Brain Image Segmentation and Reconstruction System ...

引用

10th China Health Information processing conference, CHIP 2024

作者： Zhao, Wang Lu, Peixin Hu, LianTing Lu, Long School of Management Engineering Henan University of Engineering Zhengzhou China School of Safety Science and Emergency Management Wuhan University of Technology Wuhan China Guangdong Provincial People’s Hospital Guangzhou China School of Information Management Wuhan University Wuhan China The Center for Healthcare Big Data Research The Big Data Institute Wuhan University Wuhan China Institute of Pediatrics Guangzhou Women and Children’s Medical Center Guangzhou Medical University Guangzhou China School of Public Health Wuhan University Wuhan China

ISBN: (纸本)9789819637546

Background With the rapid development of information technology and the digitization of medical devices, various diseases require the use of medical imaging equipment for diagnosis. At present, various medical imaging diagnostic equipment such as CT and nuclear magnetic resonance can provide two-dimensional planar images of diseases. Doctors urgently need to accurately determine the spatial location, size, geometry, and spatial relationship with the surrounding tissue. Therefore, it is very important to use computer technology to segment 3D MRI images, determine the location of lesions, and then perform 3D reconstruction. Method At present, automatic recognition and marking of brain images are displayed in two dimensions. Therefore, it is necessary to use 3D visualization technology for reconstruction. In addition, it can be combined with virtual and real, and some additional information is superimposed on the brain image for integrated display. In addition, a combination of virtual and real needs to be superimposed, and some additional information is superimposed on the brain image for integrated display. The research focus of this paper includes two main parts: disease segmentation and 3D reconstruction visualization. Firstly, the disease segmentation method based on 3D MRI brain image files was designed, and then the feature extraction and 3D reconstruction functions were designed. Thereby forming a complete process of disease region segmentation and three-dimensional reconstruction. Results This study is based on a three-dimensional MRI brain image segmentation algorithm. The algorithm is advanced in technology, high in accuracy, and can effectively identify the location of the disease. Then, this study used the Unity tool to implement a three-dimensional reconstruction and visual display program for brain image disease segmentation. Therefore, the doctor can quickly and intuitively grasp the spatial information inside the brain and the information of the lesion

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Real-time Learned image Codec on FPGA

Real-time Learned Image Codec on FPGA

引用

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

作者： Sun, Heming Yi, Qingyang Lin, Fangzheng Yu, Lu Katto, Jiro Fujita, Masahiro Waseda Univ Tokyo Japan Zhejiang Univ Hangzhou Zhejiang Peoples R China JST PRESTO Kawaguchi Saitama Japan Univ Tokyo Tokyo Japan AIST Tsukuba Ibaraki Japan

This demo paper gives a real-time learned image codec on FPGA. By using Xilinx VCU128, the proposed system reaches 720P@30fps codec, which is 7.76x faster than prior work.

ISBN: (纸本)9781665475921

This demo paper gives a real-time learned image codec on FPGA. By using Xilinx VCU128, the proposed system reaches 720P@30fps codec, which is 7.76x faster than prior work.

关键词： image coding neural network FPGA

来源：评论

学校读者我要写书评

暂无评论

A Marked Point Process Model For visual Perceptual Groups Extraction

A Marked Point Process Model For Visual Perceptual Groups Ex...

引用

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

作者： Mbarki, Amal Naouai, Mohamed Univ Tunis EL MANAR Fac Sci Tunis Tunis Tunisia

ISBN: (纸本)9781728180687

Perceptual organization is the process of assigning each part of a scene to a specified association of features to be a part of the same organization. In the twenty century, Gestalt psychologists formalized how image features tend to be grouped by giving a set of organizing principles. In this paper, we propose an approach for the detection of perceptual groups in an image. We are mainly interested in features grouped by the proximity law of Gestalt. We conceive an object-based model within a stochastic framework using a marked point process (MPP). We use a Bayesian learning method to extract perceptual groups in a scene. The proposed model tested on synthetic images proves the efficient detection of perceptual groups in noisy images.

关键词： visual perception perceptual organisation image processing marked point process

来源：评论

学校读者我要写书评

暂无评论

Learning to Fly with a Video Generator

Learning to Fly with a Video Generator

引用

IEEE International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources

作者： Chia-Chun Chung Wen-Hsiao Peng Teng-Hu Cheng Chia-Hau Yu Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan

ISBN: (纸本)9781728185514

This paper demonstrates a model-based reinforcement learning framework for training a self-flying drone. We implement the Dreamer proposed in a prior work as an environment model that responds to the action taken by the drone by predicting the next video frame as a new state signal. The Dreamer is a conditional video sequence generator. This model-based environment avoids the time-consuming interactions between the agent and the environment, speeding up largely the training process. This demonstration showcases for the first time the application of the Dreamer to train an agent that can finish the racing task in the Airsim simulator.

关键词： Training visual communication image processing Atmospheric modeling Video sequences Reinforcement learning Predictive models

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347页 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：