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A QoE Assessment System in Distance Education

By Dengyin Zhang, Yangyang Xu and Chunling Cheng

Abstract

It is a challenging task to improve the real-time property and objectivity of the effect assessment for the distance education. This paper presents a QoE (Quality of Experience) assessment system based on the attention of online user. The system captures the video frames from two cameras periodically and synchronously, using the adaptive image binarization based on the linear average threshold for the pretreatment, then processing with edge detection and filtering in the cross-directions at the same time. System gets the position of computer screen and user eyeball. Analyzing the detection results comprehensively obtains the attention of online user by some judging conditions, and finally acquires the quality of user experience. Experimental results demonstrate the feasibility and efficiency

Topics: Binarization, Distance Education, Edge Detection, Quality of Experience (QoE), LCC:Engineering (General). Civil engineering (General), LCC:TA1-2040, LCC:Technology, LCC:T, DOAJ:General and Civil Engineering, DOAJ:Technology and Engineering
Publisher: Scientific Research Publishing
Year: 2011
DOI identifier: 10.4236/eng.2011.31011
OAI identifier: oai:doaj.org/article:9a207abb39a64161b6ca60afdf995c01
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