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University of Cambridge > Talks.cam > NLIP Seminar Series > Analyzing and Summarizing Movies using Turning Points
Analyzing and Summarizing Movies using Turning PointsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Huiyuan Xie. Join Zoom Meeting https://cl-cam-ac-uk.zoom.us/j/98526954309?pwd=UVl2TkJxN3hyMUtLTzlZQVhuOVFxdz09 Meeting ID: 985 2695 4309 Passcode: 870201 According to screenwriting theory, turning points (e.g., change of plans, major setback, climax) are crucial narrative moments in a movie: They define the plot structure, determine its progression and segment the movie into thematic units. We propose the task of turning point identification a means of analyzing the narrative structure of a movie; turning points and the segmentation they provide facilitate the processing long, complex narratives. We introduce a dataset of movie synopses annotated with turning points, and show how neural networks can be trained to identify turning points automatically. We then use this the basis for graph-based neural models which perform movie summarization and trailer generation automatically. This talk is part of the NLIP Seminar Series series. This talk is included in these lists:
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