Video Big Data Analytics in the Cloud: Research Issues and Challenges

TL;DR

This paper presents a comprehensive layered architecture for video big data analytics in the cloud, addressing current challenges and identifying open research issues to advance the field.

Contribution

It introduces the first generalized architecture for video big data analytics in the cloud, integrating management, analysis, and research challenges.

Findings

Proposes a service-oriented layered reference architecture.

Identifies key challenges and opportunities in cloud-based video analytics.

Highlights open research issues for future exploration.

Abstract

On the rise of distributed computing technologies, video big data analytics in the cloud have attracted researchers and practitioners' attention. The current technology and market trends demand an efficient framework for video big data analytics. However, the current work is too limited to provide an architecture on video big data analytics in the cloud, including managing and analyzing video big data, the challenges, and opportunities. This study proposes a service-oriented layered reference architecture for intelligent video big data analytics in the cloud. Finally, we identify and articulate several open research issues and challenges, which have been raised by the deployment of big data technologies in the cloud for video big data analytics. This paper provides the research studies and technologies advancing video analyses in the era of big data and cloud computing. This is the first study that presents the generalized view of the video big data analytics in the cloud to the best of our knowledge.