Real-Time Video Content Popularity Detection Based on Mean Change Point Analysis
Abstract
Video content is responsible for more than 70% of the global IP traffic. Consequently, it is important for content delivery infrastructures to rapidly detect and respond to changes in content popularity dynamics. In this paper, we propose the employment of on-line change point (CP) analysis to implement real-time, autonomous and low-complexity video content popularity detection. Our proposal, denoted as
Paper Details
Title
Real-Time Video Content Popularity Detection Based on Mean Change Point Analysis
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
142246 - 142260
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