User Atention Sensitive Dynamic Composition Video Presentation Scheme

Research have shown that the use of MOOCs for teaching in recent years has become more and more common,and will gradually become the main way of learning.Statistics show that users will have problems when online learning MOOCs video: they can't concentrate attention for a long time,it is difficult to find videos that match their own cognition and attention,it is difficult to excavate the relationship between knowledges,and low learning efficiency.Today of gradually emerging of video learning,this paper proposes a comprehensive video presentation scheme to improve the user's learning experience and improve learning efficiency.Another work of this paper is to implement a user-sensitive player system based on PyQt and FFmpeg framework,small range of use instructions,which has higher learning efficiency and better user experience than existing players.Specifically,this paper has done the following work:(1)In allusion to the problems that users can't concentrate attention for a long time,take the scheme of listening/visual attention,proposed the model of user attention reminder.The model can detect whether the content of the video playing is easy for the user to make drowsiness or concentrate attention,and make corresponding reminders with sound or visual,so as to achieve the purpose of reminder the user to concentrate attention at important moments of the video.(2)In allusion to the problems that users difficult to find videos that match their own cognition and attention,take a scheme combining speech recognition with LeNet5 network,proposed the technology of automatic knowledges recommendation,and constructs the model of automatic knowledges recommendation,the model recommend videos that match their cognition and attention based on the content being played.(3)In allusion to the problems that users difficult to excavate the relationship between knowledges,take user behavior data mining method,proposed the technology of accurately dividing knowledges,the technology realizes the automatic division of the associated knowledges of MOOCs videos by analyzing the users behavior data,thereby assisting the user to quickly find the associated knowledges.(4)Combine the above technologies,the system has been developed with a set of user attention player.The system incorporates the technology of the user attention reminder,thetechnology of automatic knowledges recommendation and the technology of precise knowledges division.As far as we know,there is currently no such player on the Internet,which can be applied to movies,sports or variety shows,it will solve the corresponding specific problems in life.