Title :
MuMa: A scalable music search engine based on content analysis
Author :
Lenoir, Arthur ; Landais, Rémi ; Law-To, Julien
Abstract :
Existing music search engines process music as they would process text, ignoring the richness of this media. We introduce here MuMa (MUsic MAshup), a web application which makes the most of audio contents (the signal itself) to provide the user with new ways of browsing music. MuMa allows the user to search for particular chords sequences, to generate smart playlists and to extend its musical universe.
Keywords :
Internet; content-based retrieval; music; search engines; MuMa; Web application; audio content; chords sequences; content analysis; music mashup; scalable music search engine; smart playlists; Generators; Indexes; Mood; Multiple signal classification; Recommender systems; Search engines; Vectors;
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2012 10th International Workshop on
Conference_Location :
Annecy
Print_ISBN :
978-1-4673-2368-0
Electronic_ISBN :
1949-3983
DOI :
10.1109/CBMI.2012.6269803
