Platform for Indexing Music Albums Based on Augmented Reality Techniques and Multi-agent Systems
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Image recognition systems combined with augmented reality systems provide new tools to relate to the physical world. Obtaining fast and accurate information about analog elements such as a photo or a picture, allows users to be more and better informed. One of these physical elements, which is in the process of disappearing, is the traditional music album. In this work we propose the use of a mobile application of augmented reality for the recognition and indexing of music albums through its cover. The goal is to index discs through image recognition in order to access them digitally through services such as Spotify or YouTube. The system has a music recommendation module based on the albums recognized by the application.
KeywordsAugmented reality Image recognition Multi-agent system Recommender system
The research of Daniel Hernández de la Iglesia has been co-financed by the European Social Fund and Junta de Castilla y León (Operational Programme 2014–2020 for Castilla y León, EDU/529/2017 BOCYL). Álvaro Lozano is supported by the pre-doctoral fellowship from the University of Salamanca and Banco Santander. This work was supported by the Spanish Ministry, Ministerio de Economía y Competitividad and FEDER funds. The research of Alberto López Barriuso has been co-financed by the European Social Fund and Junta de Castilla y León (Operational Programme 2014–2020 for Castilla y León, EDU/128/2015 BOCYL).
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