Creating music videos using automatic media analysis
Proceedings of the tenth ACM international conference on Multimedia
Emotion-based music recommendation by association discovery from film music
Proceedings of the 13th annual ACM international conference on Multimedia
Auto-generation of professional background music for home-made videos
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Picasso - to sing, you must close your eyes and draw
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
MPEG-7 visual motion descriptors
IEEE Transactions on Circuits and Systems for Video Technology
Optimization-based automated home video editing system
IEEE Transactions on Circuits and Systems for Video Technology
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In this extended abstract, we present a novel story-driven approach to soundtrack retrieval for user-generated videos. Cinematic knowledge on cross-modal associations is exploited through folksonomic story text retrieval from collaborative online metadata resources. Subsequently, audiovisual synchronization is applied based on high-level features described by users. The approach is demonstrated in the MuseSync prototype system.