UNSUPERVISED VIDEO SUMMARIZATION WITH PIECEWISE LINEAR INTERPOLATION

Aspects of the present invention provide an approach for reinforcement learning for unsupervised video summarization with piecewise linear interpolation. A candidate importance score is anticipated by training a video summarization network using a set of video frames in a video. The candidate import...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Jo, Geun Sik, Yoon, Ui Nyoung
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Aspects of the present invention provide an approach for reinforcement learning for unsupervised video summarization with piecewise linear interpolation. A candidate importance score is anticipated by training a video summarization network using a set of video frames in a video. The candidate importance score is interpolated with respect to other candidate importance scores in the video in order to generate a selection probably for each frame of the video. A video summarization that includes a set of selected frames is generated frame selection probability.