A teaching data labeling method based on dual video collection

Abstract

The present invention disclosed a method of teaching data based on dual video collection, including capturing teaching equipment and shooting teaching equipment to obtain the first teaching video;Teaching interaction behavior is filmed to obtain a second teaching video; the first teaching video is marked, the video text text is extracted from the video information, and the audio information is converted to audio text;The video text is reconstructed to generate index files; in the order of time, the first sound video resources and the second sound video resources are divided into multiple segments.The method of the technical scheme of the present invention is based on the current difficulty of searching for the accuracy of teaching content, and the teaching data resources of the teaching content are used to obtain the teaching data resources of the teaching content.

Description

technical field [0001] The invention belongs to the field of video collection, and in particular relates to a teaching data labeling method based on dual video collection. Background technique [0002] With the development of Internet technology and multimedia technology, online education, especially two-way interactive online education, is booming. Its biggest advantage is to constantly break through the time and space constraints of classroom teaching, so that more and more students who cannot be physically present in the classroom can participate in it. Classroom learning, feel the same classroom learning atmosphere as on-site. As an important teaching data and learning resource, classroom teaching content has received widespread attention on how to better collect and share it. Among them, the classroom live broadcast / recording system was born as a key technical means for the implementation of online education. It uses multimedia technology to digitize teaching content ...

AI Technical Summary

Problems solved by technology

There are many deficiencies in this: first, from the perspective of online learning effects, learners cannot actively choose to listen to the clips they are interested in, but passively follow the video to learn, which lacks flexibility in the learning form; second, from the perspective of teaching content resource sharing From a perspective, the current teaching resources mostly use time periods as the basic unit of labeling and storage, and the labeling granularity is coarse, which makes it difficult to adapt to the fragmented and precise learning needs in the mobile environment; thirdly, from the perspective of personalized learning needs, the existing Classroom live broadcast, recording and broadcasting systems mostly emphasize the transmission of resources, without considering the individual resource needs of learners with different knowledge backgrounds and learning objectives

When learners need to search for relevant video learning resources for a certain knowledge point, the current few video annotations and videos containing too many redundant knowledge points cannot satisfy learners quickly and accurately from massive Internet resources. The demand for learning resources, not to mention the precise push of related videos

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