Vivid: A video feature visualization engine

Abstract

Video editors are facing the challenge of montage editing when dealing with massive amount of video shots. The major problem is selecting the feature they want to use for building repetition patterns in montage editing. It is time-consuming when testing various features for repetitions and watching videos one by one. A visualization tool for video features could be useful for assisting montage editing. Such a visualization tool is not currently available. We present the design of ViVid, an interactive system for visualizing video features for particular target videos. ViVid is a generic tool for computer-assisted montage and for the design of generative video arts, which could take advantage of the information of video features for rendering the piece. The system computes sand visualizes the color information, motion and texture information data. Instead of visualizing original feature data frame by frame, we re-arranged the data and used both statistics of video feature data and frame level data to represent the video. The system uses dashboards to visualize multiple dimensional data in multiple views. We used the project of Seasons as a case study for testing the tool. Our feasibility study shows that users are satisfied with the visualization tool.