Download PDFOpen PDF in browserDetection of Animated Scenes Among Movie TrailersEasyChair Preprint 781511 pages•Date: April 19, 2022AbstractThis paper presents a method for the detection of animated scenes in movie trailers. Regardless of the studio, artists, and the unique features of diverse animation creation techniques, machine learning tools can provide a concise detection methods of animated scenes in movie components. A dataset is prepared by selecting scenes from trailers us- ing shot boundary analysis and removal of scenes containing non-movie contents; e.g. credentials. The dataset is composed of over 1400 movie scenes from 230 trailers of various genre. A Convolutional Neural Net- work (CNN) architecture followed by Gated Recurrent Unit (GRU) is built by using transfer learning of EfficientNet. Keyphrases: Movie Trailer Labeling, Scene Understanding, computer vision, deep learning
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