An Audio-Visual Approach to Music Genre Classification through Affective Color Features.

Alexander Schindler|Andreas Rauber


Anthology ID:DBLP:conf/ecir/SchindlerR15
Volume:Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings
Year:2015
Venue:European Conference on Advances in Information Retrieval (ECIR)
Pages:61-67
URL:https://doi.org/10.1007/978-3-319-16354-3_8
DOI:https://doi.org/10.1007/978-3-319-16354-3_8
DBLP:conf/ecir/SchindlerR15
BibTeX:
@inproceedings{schindler-2015-audiovisual, author = {Alexander Schindler and Andreas Rauber}, editor = {Allan Hanbury and Gabriella Kazai and Andreas Rauber and Norbert Fuhr}, title = {{An Audio-Visual Approach to Music Genre Classification through Affective Color Features}}, booktitle = {{Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {9022}, pages = {61--67}, year = {2015}, url = {https://doi.org/10.1007/978-3-319-16354-3_8}, doi = {https://doi.org/10.1007/978-3-319-16354-3_8} }