• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Interactive technology and smart education >Content-based indexing and teaching focus mining for lecture videos
【24h】

Content-based indexing and teaching focus mining for lecture videos

机译：基于内容的索引和教学视频的教学重点挖掘

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Purpose - The purpose of this paper is to propose an indexing and teaching focus mining system for lecture videos recorded in an unconstrained environment. Design/methodology/approach - By applying the proposed algorithms in this paper, the slide structure can be reconstructed by extracting slide images from the video. Instead of applying traditional shot-change detection methods for general videos, a new edge-based shot-change detection algorithm is designed specifically for lecture videos. Besides, light influence and occlusions in the lecture video can be removed to obtain more accurate results. Moreover, the teaching focus can be extracted according to instructors' behavior based on the analyses of visual and audio information extracted from the lecture video. Findings - Experiment results show the feasibility of the proposed method, that is, the slide shots can be correctly detected even if the illumination conditions are variant or the slides are obstructed by the instructor or students, and the teaching focus can be extracted to provide learners with an efficient way to study. Research limitations/implications - This paper provides only technical experiments, but lacks complete educational study. In the future, more subjective tests will be designed to examine the educational effects on students. Practical implications - This paper proposes a practical indexing and teaching focus mining system for lecture videos which can help students learn. Originality/value - The proposed algorithms for indexing and teaching focus mining are derived and applied in lecture videos in this paper.
机译：目的-本文的目的是为在不受限制的环境中录制的演讲视频提供索引和教学重点挖掘系统。设计/方法/方法-通过应用本文提出的算法，可以通过从视频中提取幻灯片图像来重建幻灯片结构。代替对常规视频应用传统的镜头变化检测方法，专门为演讲视频设计了一种新的基于边缘的镜头变化检测算法。此外，可以消除演讲视频中的光线影响和遮挡，以获得更准确的结果。而且，可以基于从讲课视频中提取的视觉和音频信息的分析，根据教师的行为来提取教学重点。研究结果-实验结果表明了该方法的可行性，即即使在光照条件变化或教师或学生遮挡幻灯片的情况下，也可以正确检测幻灯片，并可以提取教学重点，为学习者提供帮助以一种有效的学习方式。研究局限性/含义-本文仅提供技术实验，但缺乏完整的教育研究。将来，将设计更多的主观测试来检查对学生的教育效果。实际意义-本文为演讲视频提出了一种实用的索引和教学重点挖掘系统，可以帮助学生学习。原创性/价值-本文提出的用于索引和教学重点挖掘的算法已被应用到演讲视频中。

著录项

  • 来源
    《Interactive technology and smart education》 |2010年第3期|p.131-153|共23页
  • 作者

    Yu-Tzu Lin; Bai-Jang Yen; Chia-Hu Chang; Greg C. Lee; Yu-Chih Lin;

  • 作者单位

    Institute of Curriculum Instruction and Technology,National Chi Nan University, Nantou City, Taiwan;

    Department of Computer Science and Information Engineering,National Taiwan Normal University, Taipei City, Taiwan;

    Graduate Institute of Networking and Multimedia,National Taiwan University, Taipei, Taiwan;

    Department of Computer Science and Information Engineering,National Taiwan Normal University, Taipei City, Taiwan;

    Department of Biomedical Engineering, Yuanpei University,Hsinchu, Taiwan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    E-learning; video; lectures; digital storage; teaching; semantics;

    机译：电子学习;视频;讲座;数字存储;教学;语义学;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号