Streaming video classification using machine learning

Joint Authors

Shaut, Adnan
Crispin, Brennan

Source

The International Arab Journal of Information Technology

Issue

Vol. 17, Issue 4A (s) (31 Jul. 2020), pp.677-682, 6 p.

Publisher

Zarqa University Deanship of Scientific Research

Publication Date

2020-07-31

Country of Publication

Jordan

No. of Pages

6

Main Subjects

Economics & Business Administration

Abstract EN

This paper presents a method using neural networks and Markov Decision Process (MDP) to identify the source and class of video streaming services.

The paper presents the design and implementation of an end-to-end pipeline for training and classifying a machine learning system that can take in packets collected over a network interface and classify the data stream as belonging to one of five streaming video services: You Tube, You Tube TV, Netflix, Amazon Prime, or HBO.

American Psychological Association (APA)

Shaut, Adnan& Crispin, Brennan. 2020. Streaming video classification using machine learning. The International Arab Journal of Information Technology،Vol. 17, no. 4A (s), pp.677-682.
https://search.emarefa.net/detail/BIM-1432251

Modern Language Association (MLA)

Shaut, Adnan& Crispin, Brennan. Streaming video classification using machine learning. The International Arab Journal of Information Technology Vol. 17, no. 4A (Special issue) (2020), pp.677-682.
https://search.emarefa.net/detail/BIM-1432251

American Medical Association (AMA)

Shaut, Adnan& Crispin, Brennan. Streaming video classification using machine learning. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4A (s), pp.677-682.
https://search.emarefa.net/detail/BIM-1432251

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 681-682

Record ID

BIM-1432251