Extraction of Movie Trailer Biases Based on Editing Features for Trailer Generation

Abstract

Currently, movie trailers are edited using various methods. However, the length of each trailer is at most several minutes, and the scenes used for editing and the types of effects are limited because a trailer is created for a certain target audience. Therefore, it is difficult to edit a trailer that caters to the different preferences of various users. Moreover, potential audience may be lost if the trailer is not enticing enough. To solve this problem, we define seven editing biases that occur when movies are summarized and edited into trailers. We investigate whether these biases can be used to generate a movie trailer catering to various viewer preference.