A systematic literature review of Internet of Video Things: Trends, techniques, datasets, and framework

Abstract

In the last decade, Internet of Things (IoT) and machine learning (ML) have been used for developing semi or fully automated systems of any application. Due to the advancement in networking technologies, the contribution of video-based input is also rising for IoT systems. Hence, Internet of Video Things (IoVT) has been an emerging field to gain more human trust in the systems. IoVT is an integrated attempt of computer vision sensors, networking, video or image processing and information storage systems. In this paper, we have highlighted the literature evidence in the IoVT field. There is a need to analyze it in terms of different aspects, that enables the researchers to understand research trends in the field and lead them to future research directions. Therefore, this article presents a systematic literature review (SLR) in IoVT using various research publications, since its evolution. The study applies article selection criteria on different search methods and compares the relevant published articles. We have analyzed these filtered articles for identifying the study trends, their used techniques & frameworks for data processing and inputs or datasets used for their studies. At the end, various research opportunities and challenges have been framed in the field for future research references.