This paper is published in Volume-6, Issue-1, 2020
Area
Computer Science
Author
Bincy Joseph, Sharon C D'Souza
Org/Univ
A J Institute of Engineering and Technology, Mangalore, Karnataka, India
Pub. Date
17 January, 2020
Paper ID
V6I1-1189
Publisher
Keywords
Video summarization, Intelligent video surveillance; Supervised machine learning; Third-party auditing

Citationsacebook

IEEE
Bincy Joseph, Sharon C D'Souza. Model for the flow of CCTV footage Supervised Machine Learning rundown Streaming and Storage with the use of third-party auditing in the cloud, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Bincy Joseph, Sharon C D'Souza (2020). Model for the flow of CCTV footage Supervised Machine Learning rundown Streaming and Storage with the use of third-party auditing in the cloud. International Journal of Advance Research, Ideas and Innovations in Technology, 6(1) www.IJARIIT.com.

MLA
Bincy Joseph, Sharon C D'Souza. "Model for the flow of CCTV footage Supervised Machine Learning rundown Streaming and Storage with the use of third-party auditing in the cloud." International Journal of Advance Research, Ideas and Innovations in Technology 6.1 (2020). www.IJARIIT.com.

Abstract

Video summaries help to convert long videos into short compact series for easy storage. Most of the CCTV footages are daily event capturing series and need to extract unusual events from these footages. And sometimes these compact footages need to be stored maintaining its integrity and security in some cases. After extracting the unusual events and cut shorting the daily CCTV footage it needs to be streamed wisely to review the same. The reviewing needs to be online or Remotely from any corner of the world. As of now, we don’t have a proper means of what to do with this CCTV footage. And how effectively and wisely we can store the footage securely. Here in this paper, we discuss a flow model for summarizing, extracting unusual events, streaming, and storage. With these methods, the final product would be more content bearing, storage compact, and secure.