The 2nd International Conference on Computer Vision and Data Mining(ICCVDM 2021)
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ICCVDM 2021 is to bring together innovative academics and industrial experts in the field of computer vision and data mining to a common forum. The primary goal of the conference is to promote research and developmental activities in computer vision and data mining, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.


Topics include but are not limited to the following areas:

1. Computer Science 计算机科学 4. Software Process and Data Mining 软件工程和数据挖掘
  • Algorithms 算法

  • Automated Software Engineering 自动化软件工程

  • Bioinformatics and Scientific Computing 生物信息学与科学计算

  • Computer-aided Design 计算机辅助设计

  • Computer Animation 电脑动画

  • Computer Architecture 计算机架构

  • Computing Ethics 计算伦理

  • Computer Modeling 计算机建模

  • Computer Networks 计算机网络

  • Computer Security 计算机安全

  • Computer Simulation 计算机模拟

  • Computer Graphics and Image Processing 计算机图形和图像处理

  • Computer Science and Engineering 计算机科学与工程

  • Computer-aided design / manufacturing 计算机辅助设计/制造

  • Database and Data Mining 数据库和数据挖掘

  • Data Compression 数据压缩

  • Data Encryption 数据加密

  • Data Mining 数据挖掘

  • Digital Signal and Image Processing 数字信号与图像处理

  • Digital System and Logic Design 数字系统与逻辑设计

  • Expert Systems 专家系统

  • Geographical Information Systems (GIS)  地理信息系统(GIS)

  • Image Processing 图像处理

  • Information Systems 信息系统

  • Internet and Web Applications 互联网和Web应用程序

  • Mobile Computing 移动计算

  • Multimedia Applications 多媒体应用

  • Multimedia Networking 多媒体网络

  • Mobile Wireless Networks 移动无线网络

  • Network Security and Cryptography 网络安全和密码学

  • Programming Languages 编程语言

  • Signal Detection and Estimation 信号检测与估计

  • Wireless Communication 无线通信

  • Wireless Sensor Network 无线传感器网络

  • Software Engineering Practice 软件工程实践

  • Web Engineering网络工程

  • Multimedia and Visual Software Engineering 多媒体和视觉软件工程

  • Software Maintenance and Testing 软件维护和测试

  • Search Engines and Information Retrieval 搜索引擎和信息检索

  • Association rules 关联规则

  • Classification 分类

  • Clustering 聚类

  • Data cleaning 数据清理

  • Data integration 数据集成

  • Feature selection 功能选择

  • Information system and retrieval 信息系统和检索

  • Outlier analysis 离群分析

  • Visual data mining 可视化数据挖掘

  • Knowledge Acquisition & Management 知识获取与管理

  • Knowledge-based Systems 基于知识的系统

  • Multimedia & Cognitive Informatics 多媒体与认知信息学

  • Neural Networks 神经网络

  • Parallel Processing 并行处理

  • Pattern Recognition 模式识别

  • Pervasive computing and ambient intelligence  普适计算和环境智能

  • Programming Language 编程语言

  • Reasoning and Evolution 推理与进化

  • Recent Trends and Developments 最近的趋势和发展

  • Soft computing theory and applications 软计算理论与应用

  • Software & Hardware Architectures 软件和硬件架构

  • Web Intelligence Applications & Search 应用程序和搜索

2. Artificial Intelligence 人工智能5. Robotics Science and Engineering 机器人科学与工程
  • Basic Theory and Application of Artificial Intelligence 人工智能的基本理论与应用

  • Big Data Analysis and Processing 大数据分析与处理

  • Biometric Identification 生物识别

  • Bioinformatics and Artificial Life 生物信息学与人工生命

  • Computer Aided Education 计算机辅助教育

  • Computer Vision and Image Processing 计算机视觉与图像处理

  • Evolutionary Calculation 进化计算

  • Information Retrieval and Web Search 信息检索和网络搜索

  • Intelligent Planning and Scheduling 智能规划与调度

  • Intelligent Control 智能控制

  • Knowledge Science and Knowledge Engineering 知识科学与知识工程

  • Machine Learning and Data Mining 机器学习和数据挖掘

  • Machine Perception and Virtual Reality 机器感知和虚拟现实

  • Natural Language Processing and Understanding 自然语言处理与理解

  • Neural Network and Deep Learning 神经网络与深度学习

  • Pattern Recognition Theory and Application 模式识别理论与应用

  • Rough Set and Soft Computing 粗糙集与软计算

  • Modeling and identification 建模和识别
  • Robot control 机器人控制

  • Mobile robotics 移动机器人

  • Mobile sensor networks 移动传感器网络

  • Perception systems 感知系统

  • Micro robots and micro-manipulation 微型机器人和微操纵

  • Visual servoing 视觉伺服

  • Search, rescue and field robotics 搜索,救援和现场机器人

  • Robot sensing and data fusion 机器人传感和数据融合

  • Localization, navigation and mapping 定位,导航和映射

  • Dexterous manipulation 灵敏操纵

  • Medical robots and bio-robotics 医疗机器人和生物机器人

  • Human centered systems 人本系统

  • Space and underwater robots 太空和水下机器人

  • Tele-robotics 远程机器人

  • Mechanism design and applications 机制设计和应用

3. Vision Science and Engineering 视觉科学与工程6. Other Related Topics 其他相关主题
  • Image/video analysis 图像/视频分析

  • Feature extraction, grouping and division  特征提取,分组和分割

  • Scene analysis 场景分析

  • Pattern recognition 模式识别

  • Human-computer interaction 人机交互

  • Tracking and surveillance 跟踪和监视

  • Biometrics 生物识别技术

  • Biomedical Image analysis 生物医学图像分析

  • Activity/behaviour recognition 活动/行为识别


Submission Methods

1.The submitted papers must not be under consideration elsewhere.

2.Please send the full paper(word+pdf) to SUBMISSION SYSTEM

3.Please submit the full paper, if presentation and publication are both needed.

4.Please submit the abstract only, if you just want to make presentations.

5.Templates Downlow :IOP-Templates

6.Should you have any questions, or you need any materials in English, please contact us at contact@iccvdm.com


Note: 

1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.