A Framework Model for Integrating Social Media, the Web, and Proprietary Services Into YouTube Video Classification Process

Abstract

Online video streaming has gained ubiquity in disparate educational, governmental, and corporate environments. The ubiquity of these videos elicits new challenges in video classification that is used to promote relative videos and block unwanted content. These challenges include the incorporation of contextual information, rapid development of the ad-hoc query modules, and keeping pace with contemporary contextual information. In this article, the authors present a framework model for incorporating contextual information into video classification information. To illustrate the model, the authors propose a framework which comprises video classification, web search engines, social media platforms, and third-party classification modules. The modules enable the framework's flexibility and adaptivity to different contextual environment—educational, governmental, and corporate. Additionally, the model emphasizes standardized module interface to enable the framework's extensibility and rapid development of future modules.

Multimedia Drama Imaging Technology Based on Big Data Information System

“…In virtual technology, images mainly include two-dimensional images and three-dimensional models. If it wants to modify the properties of objects in the virtual scene, it needs to transform elements such as position, size, and rotation [20]. is is mainly changed according to the corresponding geometric mathematical model.…”

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