Simplifying video editing with SILVER

Abstract

Digital video is becoming more ubiquitous. Unfortunately, editing videos remains difficult for several reasons. It has dual tracks of audio and video and may require working at the smallest level of detail. Silver is an authoring tool that uses video metadata to overcome these problems. It provides mulitiple views with different content types and at different levels of abstraction. This paper focuses on Silver's smart selection and editing operations, which work at a high semantic level and handle different boundaries in audio and video. Our research suggests several ways in which video editing tools can assist users in the composition and reuse of video.