Browsing within Lecture Videos Based on the Chain Index of Speech Transcription
Browsing within Lecture Videos Based on the Chain Index of Speech Transcription
复制标题
基于语音转录链索引的讲座视频浏览
DOI：
10.1109/tlt.2008.22
复制
发表时间：
2008
影响因子：
3.7
通讯作者：
C. Meinel
中科院分区：
文献类型：
--
作者：
S. Repp;Andreas Groß;C. Meinel
自从录音技术变得更容易使用以来，数字讲座录像的数量急剧增加。在这个大型档案中搜索的可访问性和能力是有限和困难的。此外，由于缺乏显式注释，不支持视频中的详细浏览。手动标注和分割非常耗时，因此毫无用处。一种很有前景的方法是基于使用讲座录音的音频层来获取有关讲座内容的信息。在本文中，我们将提出一种基于现有录制视频的计算机科学课程索引方法。来自语音识别引擎（SRE）的转录足以创建一个链索引，以便在讲座视频中详细浏览。给出了索引结构和所提供关键字的求值。动态浏览电子学习内容的用户界面是本文的结束语。
The number of digital lecture video recordings has increased dramatically since recording technology became easier to use. The accessibility and ability to search within this large archive are limited and difficult. Additionally, detailed browsing in videos is not supported due to the lack of an explicit annotation. Manual annotation and segmentation is time-consuming and therefore useless. A promising approach is based on using the audio layer of a lecture recording to obtain information about the lecture's contents. In this paper we're going to present an indexing method for computer science courses based on their existing recorded videos. The transcriptions from a speech-recognition engine (SRE) are sufficient to create a chain index for detailed browsing inside a lecture video. The index structure and the evaluation of the supplied keywords are presented. The user interface for dynamic browsing of the e-learning contents concludes this paper.