JCSE, vol. 19, no. 1, pp.24-35, 2025

DOI: http://dx.doi.org/10.5626/JCSE.2025.19.1.24

A Survey of Efficiency Requirements in Computer Vision

Hyeon Choe and Dongsu Kang
Department of Computer Engineering, Korea National Defense University, Nonsan, Korea

Abstract: Computer vision has been automatically performing challenging tasks such as image classification, object detection and recognition, and image segmentation due to the rapid development in the industry and performing beyond human capabilities. As social expectations and interests grow in computer vision, there is a growing tendency to utilize computer vision technologies in several other fields such as defense, finance, education, and other related industries. However, many computer vision products are often underutilized for several reasons after they are developed. The important problem is that researchers are less interested in the knowing the cause of this. Even though many studies have been conducted to improve computer vision technology, studies that focus on quality of the computer vision products that people use are insufficient. Hence, this paper discusses the quality of computer vision products. Through a requirement engineering approach, we analyze the efficiency requirements that mostly affect the quality of computer vision products and identify the trends in related technologies. Through this, we present the relevant technical limitations and ways to overcome them.

Keyword: No keyword

Full Paper:   9 Downloads, 7 View