Handbook of Multimedia for Digital Entertainment and Arts- P14: The advances in computer entertainment, multi-player and online games, technology-enabled art, culture and performance have created a new form of entertainment and art, which attracts and absorbs their participants. The fantastic success of this new field has influenced the development of the new digital entertainment industry and related products and services, which has impacted every aspect of our lives. | 384 K. Brandenburg et al. 117. Yang D. Lee W. Disambiguating music emotion using software agents. In Proc. of the International Conference on Music Information Retrieval ISMIR . Barcelona Spain 2004 118. Yoshii K. Goto M. Music thumbnailer Visualizing musical pieces in thumbnail images based on acoustic features. In Proceedings of the 9th International Conference on Music Information Retrieval ISMIR . Philadelphia Pennsylvania USA 2008 119. Yoshii K. Goto M. Komatani K. Ogata T. Okuno . Hybrid collaborative and content-based music recommendation using probabilistic model with latent user preferences. In Proceedings of the 7th International Conference on Music Information Retrieval ISMIR . Victoria BC Canada 2006 120. Yoshii K. Goto M. Okuno . Automatic drum sound description for real-world music using template adaption and matching methods. In Proceedings of the 5th International Music Information Retrieval Conference ISMIR . Barcelona Spain 2004 121. Zils A. Pachet F. Features and classifiers for the automatic classification of musical audio signals. In Proceedings of the 5th International Conference on Music Information Retrieval ISMIR . Barcelona Spain 2004 Chapter 17 Automated Music Video Generation Using Multi-level Feature-based Segmentation Jong-Chul Yoon In-Kwon Lee and Siwoo Byun Introduction The expansion of the home video market has created a requirement for video editing tools to allow ordinary people to assemble videos from short clips. However professional skills are still necessary to create a music video which requires a stream to be synchronized with pre-composed music. Because the music and the video are pregenerated in separate environments even a professional producer usually requires a number of trials to obtain a satisfactory synchronization which is something that most amateurs are unable to achieve. Our aim is automatically to extract a sequence of clips from a video and assemble them to match a piece of music. Previous authors 8 9 16
