Automatic Useful Shot Extraction for a Video Editing Support System

Video editing is a work to produce final videos with certain duration by finding and selecting appropriate shots from raw material videos and connecting them. In order to produce excellent and intelligible videos, the editing process is generally conducted according to the special rules called "video grammar". The purpose of this study is to develop an intelligent support system for video editing based on automatically extracted metadata. This paper proposes a method to automatically segment the raw video materials into useful sections and useless sections based on the video grammar as a part of the video editing support system, using the camerawork and cut point information.

• Type: Journal
• Year: 2002
• Where: MVA
• Authors: Masahito Kumano, Yasuo Ariki
• Keywords: Computer Vision, MVA 2002, Video, Video Editing, Video Grammar