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You Can Judge an Artist by an Album Cover: Using Images for Music Annotation
October-December 2011 (vol. 18 no. 4)
pp. 30-37
Jānis Lībeks, University of Toronto
Douglas Turnbull, Ithaca College

A computer-vision system predicts music genre tags by making use of content-based image analysis, suggesting that we can learn some notion of artists' similarity on the basis of visual appearance alone.

1. J. Donaldson and P. Lamere, "Using Visualizations for Music Discovery," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2009; http://ismir2009.ismir.nettutorials.html#pm1 .
2. D. Turnbull, L. Barrington, and G. Lanckriet, "Five Approaches to Collecting Tags for Music," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2008, pp. 225-230.
3. A. Makadia, F. Pavlovic, and S. Kumar, "A New Baseline for Image Annotation," Proc. European Conf. Computer Vision, Spring-Verlag, 2008, pp. 316-329.
4. C. McKay and I. Fujinaga, "Musical Genre Classification: Is It Worth Pursuing and How Can It Be Improved?" Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2006, pp. 101-106.
5. P. Lamere and O. Celma, "Music Recommendation Tutorial Notes," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2007; http://www.slideshare. net/ocelmamusic-recommendation-tutorial .
6. B. McFee, L. Barrington, and G. Lanckriet, "Learning Similarity from Collaborative Filters," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2010, pp. 345-350.
7. J.H. Kim, B. Tomasik, and D. Turnbull, "Using Artist Similarity to Propagate Semantic Information," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2009, pp. 375-380.
8. E. Pampalk, Computational Models of Music Similarity and their Application to Music Information Retrieval, doctoral dissertation, Vienna Univ. Technology, 2006.
9. C.D. Manning, P. Raghavan, and H. Schtze, Introduction to Information Retrieval, Cambridge Univ. Press, 2008.
10. M. Guillaumin et al., "Tagprop: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation," Proc. Int'l Conf. Computer Vision, IEEE Press, 2009, pp. 309-316.
1. M. Casey et al., "Content-Based Music Information Retrieval: Current Directions and Future Challenges," Proc. IEEE, vol. 96, no. 4, 2008, pp. 668-696.
2. G. Tzanetakis and P.R. Cook, "Musical Genre Classification of Audio Signals," IEEE Trans. Speech and Audio Processing, vol. 10, no. 5, 2002, pp. 293-302.
3. A. Berenzweig et al., "A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures," Computer Music J., vol. 28, no. 2, 2004, pp. 63-76.
4. J.H. Kim, B. Tomasik, and D. Turnbull, "Using Artist Similarity to Propagate Semantic Information," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2009, pp. 375-380.
5. D. Bainbridge and T. Bell, "The Challenge of Optical Music Recognition," Computers and the Humanities, vol. 35, no. 2, 2001, pp. 95-121.
6. D. Bainbridge and T. Bell, "Identifying Music Documents in a Collection of Images," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2006 pp. 47-52.
7. J.A. Burgoyne et al., "Lyric Extraction and Recognition on Digital Images of Early Music Sources," Proc. Int'l Society Music Information Retrieval Conf., Int'l Soc. for Music Information Retrieval, 2009, pp. 723-728.
8. Y. Ke, D. Hoiem, and R. Sukthankar, "Computer Vision for Music Identification, Proc. IEEE Computer Vision and Pattern Recognition Conf., IEEE CS Press, 2005; http://dx.doi.org/10.1109CVPR.2005.106.
9. T. Deselaers, D. Keysers, and H. Ney, "Features of Image Retrieval: An Experimental Comparison," Information Retrieval, vol. 11, no. 2, 2008, pp. 77-107.
10. A. Makadia, F. Pavlovic, and S. Kumar, "A New Baseline for Image Annotation," Proc. European Conf. Computer Vision, Springer-Verlag, 2008, pp. 316-329.

Index Terms:
multimedia information retrieval, image similarity, music classification, IEEE MultiMedia
Citation:
Jānis Lībeks, Douglas Turnbull, "You Can Judge an Artist by an Album Cover: Using Images for Music Annotation," IEEE Multimedia, vol. 18, no. 4, pp. 30-37, Oct.-Dec. 2011, doi:10.1109/MMUL.2011.1
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