[2Xin5] インタラクティブ1

[2Xin5-12] An Adaptive Selection Method of Screen Content Coding Tools for Educational Video System

〇Shuichiro Tanaka¹ (1.Tokusima University)

Keywords:Screen Content Coding, Image classification

The concept of “GIGA School” is promoting in Japan. “GIGA School” aims to improve the wireless LAN environment for all classrooms and introduce one terminal device for each student. With the increasing utilization of such tablet terminals for education, coding tools for screen contents (SC) are highly expected to reduce the communication bandwidth and increase the number of simultaneous connections. Screen content coding (SCC) has achieved higher coding efficiency by introducing several new modes for SC. On the other hand, since these coding tools are dedicated to SC, redundant operation occurs when a natural image (CC) is encoded. In this paper, we propose an image classification model that classifies SC and CC using machine learning. By using this model before encoding the video, the proposed algorithm can select the coding tool with high accuracy and significantly reduce the coding redundancy.