Video Analytics for Visual Surveillance and Applications: An Overview and Survey

Olatunji, Iyiola E.; Cheng, Chun Hung

doi:10.1007/978-3-030-15628-2_15

Cited by 17 publications

(15 citation statements)

References 101 publications

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“…The majority of the work focuses on a specific domain of IVA and the application of video analyses. For instance, a comprehensive survey was presented by Liu et al [30], and Olatunji et al [31], where they have discussed IVA and its applications in the context of surveillance conventionally. Context-Based Video Retrieval (CBVR) was reviewed by Hu et al [32], Patel et al [33], and Haseyama et al [34].…”

Section: Recent Studiesmentioning

confidence: 99%

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Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

2020

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The proliferation of multimedia devices over the Internet of Things (IoT) generates an unprecedented amount of data. Consequently, the world has stepped into the era of big data. Recently, on the rise of distributed computing technologies, video big data analytics in the cloud has attracted the attention of researchers and practitioners. The current technology and market trends demand an efficient framework for video big data analytics. However, the current work is too limited to provide a complete survey of recent research work on video big data analytics in the cloud, including the management and analysis of a large amount of video data, the challenges, opportunities, and promising research directions. To serve this purpose, we present this study, which conducts a broad overview of the state-of-the-art literature on video big data analytics in the cloud. It also aims to bridge the gap among large-scale video analytics challenges, big data solutions, and cloud computing. In this study, we clarify the basic nomenclatures that govern the video analytics domain and the characteristics of video big data while establishing its relationship with cloud computing. We propose a service-oriented layered reference architecture for intelligent video big data analytics in the cloud. Then, a comprehensive and keen review has been conducted to examine cutting-edge research trends in video big data analytics. 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. To the best of our knowledge, this is the first study that presents the generalized view of the video big data analytics in the cloud. This paper provides the research studies and technologies advancing the video analyses in the era of big data and cloud computing. INDEX TERMS big data, intelligent video analytics, cloud-based video analytics system, video analytics survey, deep learning, distributed computing, intermediate results orchestration, cloud computing.

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Section: Recent Studiesmentioning

confidence: 99%

“…Tracklet is a fragment of a trajectory obtained within a short period, and the occurrence of occlusion leads to closure. Tracklets have been used for human action recognition [31], [236] and for the representation of motion in crowded scenes [237], [238].…”

Section: ) Behavior Analysismentioning

confidence: 99%

Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

2020

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“…Consequently, marketing specialists and store owners are perpetually attempting to find any intelligent solution that could enhance the customer's shopping experience, using, e.g. sensors equipped with computer vision technologies [1]. Such technologies can aid retail stores in staying competitive and offer the best desirable services [2].…”

Section: Introductionmentioning

confidence: 99%

“…These methods can provide good insight, but they have some significant drawbacks. Therefore, with the advancement of data collection and processing technologies as well as the use of highly accurate sensors, one can collect vast amounts of data about the customers and get many valuable insights [1].…”

Section: Introductionmentioning

confidence: 99%

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Employing Video-based Motion Data with Emotion Expression for Retail Product Recognition

Alkhodre¹,

Alshanqiti²

2021

IJACSA

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Network of Autonomous Units for the Complex Technological Objects Reliable Monitoring

Chemerys

Бушма

Lytvyn

et al. 2021

Studies in Computational Intelligence

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Video Analytics for Visual Surveillance and Applications: An Overview and Survey

Cited by 17 publications

References 101 publications

Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

Employing Video-based Motion Data with Emotion Expression for Retail Product Recognition

Network of Autonomous Units for the Complex Technological Objects Reliable Monitoring

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