| Title |
Trends in Computer Vision Research |
| Authors |
(Jaeseo Choi) ; (Changuk Choi) ; (Heera Ha) ; (Junghwan Kim) ; (Kyeongbo Kong) ; (Jaewon Royce Choi) |
| DOI |
https://doi.org/10.5573/IEIESPC.2026.15.3.348 |
| Keywords |
Computer vision; Research trend; Semantic network analysis (SNA) |
| Abstract |
Numerous studies have been conducted to understand the research trends in the fields of artificial intelligence and machine learning. Although computer vision technology significantly influences the media domain, particularly the value chain of the video content industry, research identifying related studies and technical discussions remains insufficient. Therefore, this study collected articles published between 2017 and 2022 from major international conferences in computer vision, including CVPR, ECCV, and ICCV. Semantic network, institutional, and annual analyses of research trends across domains were conducted. The semantic network analysis of conference article titles revealed four distinct clusters. The analysis of collaborative research among countries revealed that computer vision research is primarily concentrated in the US and China, presenting the highest levels of research activity.
The analysis of research trends based on years and affiliations indicates a gradual increase in collaborative research between universities and companies. The study identified annual research trends in computer vision. Further in-depth research is anticipated across diverse foundational and applied areas, fostering positive impacts on academic and industrial advancements. |