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Computer Aided System of Intelligent Contents Generation for Individual Interactive Education

个体互动教育智能内容生成计算机辅助系统

基本信息

批准号：
17300267
负责人：
TSURUOKA Shinji
金额：
$ 8.17万
依托单位：
Mie University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

项目摘要

This research project developed the following challenging approaches.(1) Dynamic determination method in the view of an active camera in large rlacc and scene segmentation for e-leaningAnew algorithm based on the behavior of a teacher is proposed for a dynamic determination method in the view of an active camera in large class, and the algorithm reduced the motion time of camera view. Two approaches are proposed for scene segmentation for generation the interactive e-learning contents. The first approach is based on the blackboard state, and the second approach is based on anon-voice sound.(2) Handwritten keyword recognition on the blackboard and the generation of high resolution imageHandwritten keyword recognition algorithms are developed using keyword lexicon for the characters on the blackboard. A new kcal threshold method "median differential method" and a new generating method "genetic image merge algorithm" of the high resolution image are proposed for the blackboard image in large class(3) Digitizing method for paper documents and the development of an individual interactive education systemIn higher education, the student interests in the various contents in real world, but a lot of required information is not opened for the digitizing coat The lack of the information is one of important problems in e-learning. We are challenging the automatic translation from paper documents to digital documents, and we developed. a new extracting the document structure from a paper document. And we developed the individual interactive education system licitly the translated digital documents

该研究项目开发了以下具有挑战性的方法。(1)大课堂活动摄像机视图下的动态判定方法及网络学习场景分割提出了一种基于教师行为的大课堂活动摄像机视图下的动态判定方法，该算法减少了摄像机视图的运动时间。提出了两种用于生成交互式电子学习内容的场景分割方法。第一种方法是基于黑板状态，第二种方法是基于非语音。(2)黑板上手写关键字识别及高分辨率图像的生成利用关键字词典对黑板上的字符开发了手写关键字识别算法。针对大课黑板图像，提出了一种新的kcal阈值法“中值差分法”和一种新的高分辨率图像生成方法“遗传图像合并算法”。(3)纸质文献的数字化方法与个性化互动教育系统的开发。但是，许多数字化学习所需要的信息并没有被开放，信息的缺乏是电子学习的重要问题之一。我们正在挑战从纸质文档到数字文档的自动翻译，我们开发了。一种新的从纸质文档中提取文档结构的方法。我们开发了个人互动教育系统，合法地翻译了数字文档