HCJan 27, 2022

Hierarchical Visual Interface for Lecture Video Retrieval and Summarization

arXiv:2201.11278v1
AI Analysis

This addresses the time-consuming challenge for common users accessing online educational resources, though it appears incremental as it builds on existing interface methods.

The paper tackles the problem of efficiently retrieving and summarizing lecture videos from large-scale online courses by proposing a hierarchical visual interface that allows users to explore video information through layers like timestamps, slides, and summaries, with user studies confirming high retrieval accuracy and good user experience.

With the emergence of large-scale open online courses and online academic conferences, it has become increasingly feasible and convenient to access online educational resources. However, it is time consuming and challenging to effectively retrieve and present numerous lecture videos for common users. In this work, we propose a hierarchical visual interface for retrieving and summarizing lecture videos. Users can utilize the proposed interface to effectively explore the required video information through the results of the video summary generation in different layers. We retrieve the input keywords with the corresponding video layer with timestamps, a frame layer with slides, and the poster layer with summarization of the lecture videos. We verified the proposed interface with our user study by comparing it with other conventional interfaces. The results from our user study confirmed that the proposed interface can achieve high retrieval accuracy and good user experience.see video here https://www.youtube.com/watch?v=zrnejwsOVpc .

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