Aug 26, 2022 · This research aims to automate the process of video segmentation in a lecture video and provide quick navigation and convenience for users.

Aug 29, 2022 · A system that takes any slide-based lecture videos as input and outputs a list of all the topic transitions contained in the video was developed.

Sep 24, 2024 · Multiple linguistic- based segmentation features are used, including content-based features such as noun phrases and discourse-based features ...

An automatic text-based segmentation algorithm is developed to identify topic changes and evaluated on a set of twenty-five lecture videos. The key conclusions ...

In this paper we propose a solution which segments lecture video by analyzing its supplementary synchronized slides. The slides content derives ...

This work proposes a novel method based on early fusion of low and high-level audio features for automatic topic segmentation in video lectures and performs ...

Using an ensemble of convolutional neural networks (CNNs), this study aims to develop a robust and accurate recognition system. To extract features from the ...

automatically partition a lecture video into topical segments, which can ... Topic based segmentation of lecture videos requires pro- cessing the ...

The basic idea here is that we view the task of topic-based segmentation as the detection of shift from one topic to the next. In other words, the task is to ...

The Video Classification Project is presented, an effort toward automating content-based video indexing and retrieval, at the Institute of Systems Science ...