Current Research and Applications of Combining Computer Vision (CV) and Machine Learning (ML) at Home and Abroad CiteSpace-based Integration of CNKI and Google Scholar’s Public Research Results for 2019-2024

DOI

10.2991/978-94-6463-504-1_7How to use a DOI?

Keywords

computer vision; machine learning; artificial intelligence; Bibliometrics; theoretical applications

Abstract

Computer vision provides the theoretical and algorithmic basis of image and scene analysis for machine vision, and machine vision provides the sensor model, system structure and means of implementation for the realisation of computer vision. The two share a set of theoretical systems, only the direction of development is different, machine vision focuses on practical applications in the industrial field, while computer vision focuses on the research of theoretical algorithms. Therefore, the cross research of computer vision and machine learning has become one of the important directions in the current artificial intelligence research field. This paper first defines the concepts of artificial intelligence, computer vision and machine learning, and further illustrates the strong correlation between computer vision and machine learning in terms of methodology and research logic. Then, it further uses bibliometrics to integrate the research results of Knowledge and Google Scholar based on CiteSpace for the years 2019-2024 to reveal the relationship between the two in scientific practice in a realistic way. Finally, the article conducts the qualitative analysis of this paper to summarise the current state-of-the-art research and applications at the intersection of computer vision and machine learning and their problems. The integration of previous research will facilitate the academic community’s understanding of important nodes and fundamental issues in the discipline’s research process, and more purposeful planning of future research.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinyue Zhang
PY  - 2024
DA  - 2024/08/31
TI  - Current Research and Applications of Combining Computer Vision (CV) and Machine Learning (ML) at Home and Abroad CiteSpace-based Integration of CNKI and Google Scholar’s Public Research Results for 2019-2024
BT  - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024)
PB  - Atlantis Press
SP  - 57
EP  - 63
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-504-1_7
DO  - 10.2991/978-94-6463-504-1_7
ID  - Zhang2024
ER  -