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A Video Library System Using Scene Detection and Automatic Tagging
[chapter]
2017
Communications in Computer and Information Science
We present a novel video browsing and retrieval system for edited videos, based on scene detection and automatic tagging. In the proposed system, database videos are automatically decomposed into meaningful and storytelling parts (i.e. scenes) and tagged in an automatic way by leveraging their transcript. We rely on computer vision and machine learning techniques to learn the optimal scene boundaries: a Triplet Deep Neural Network is trained to distinguish video sequences belonging to the same
doi:10.1007/978-3-319-68130-6_5
fatcat:3bb6flzzw5ffbndcfmzaqge47a