Researchers at the Fraunhofer Institute for Digital Media Technology in Ilmenau have created a mood player that finds images to suit the rhythm of music. The approach makes use of software to train a PC to recognize different characteristics of music, such as volume, tone, melody, rhythm, instruments, and vocals. Images are similarly analyzed for brightness, contrast, edges, colors, textures, layout, and shape. The software is based on the GenreID music analysis tool. The images that fit the mood of a song are automatically added to the playlist and the data is classified in real time and can be accessed from a database. The mood player does not require prior cataloging. The music and photos are meant to match how the user feels at the time, whether relaxed, sad, or excited.
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