Automatic categorization and summarization of documentaries

In this paper, we propose automatic categorization and summarization of documentaries using subtitles of videos. We propose two methods for video categorization. The first makes unsupervised categorization by applying natural language processing techniques on video subtitles and uses the WordNet lexical database and WordNet domains. The second has the same extraction steps but uses a learning module to categorize. Experiments with documentary videos give promising results in discovering the correct categories of videos. We also propose a video summarization method using the subtitles of videos and text summarization techniques. Significant sentences in the subtitles of a video are identified using these techniques and a video summary is then composed by finding the video parts corresponding to these summary sentences. © 2010 The Author(s)

Student-­summarized videos in an Adaptive and Collaborative E-learning Environment (ACES)

The purpose of this research was to develop a collaborative e-Learning framework using summarised videos as learning media to provide a more efficient learning experience where participants’ engagement and motivations are enhanced. The research aims to increase participants’ overall learning level, understanding level; motivation and communication skills. For this research, a collaborative environment has been built where students participate in a video sharing system allowing them to create their own summarized Videos from existing course video material. Students can then share these videos with other system participants with the ability to view, rate and comment on videos. Instructors upload the core video footage, which the students are able to edit and summarize. Two experiments were run with live modules within the Department of Informatics; a pilot study and full experiment. Feedback from the pilot study was used to develop the framework for the full study. The experiments involved pre and post participation surveys to measure satisfaction and awareness effects. Also, system participation data was used for analysis of engagement and other factors defining the outcomes of this experiment. The findings showed a considerable increase in student satisfaction regarding their understanding and motivation with video summarization tool used in the experiments. The results of [the] collaboration aspect of the experiment showed a slight increase in their satisfaction on their learning level, however, it had minimal effect on students’ motivation and engagement as no significant difference was noted after using the system