Advertisement
Published in:
2015 | OriginalPaper | Chapter
Affective Music Recommendation System Based on the Mood of Input Video
Authors : Shoto Sasaki, Tatsunori Hirai, Hayato Ohya, Shigeo Morishima
Published in: MultiMedia Modeling
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We present an affective music recommendation system just fitting to an input video without textual information. Music that matches our current environmental mood can enhance a deep impression. However, we cannot know easily which music best matches our present mood from huge music database. So we often select a well-known popular song repeatedly in spite of the present mood. In this paper, we analyze the video sequence which represent current mood and recommend an appropriate music which affects the current mood. Our system matches an input video with music using valence-arousal plane which is an emotional plane.