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This article proposes multilevel visual features for extracting spectrogram textures and their temporal variations. A confidence-based late fusion is proposed for combining the acoustic and visual features. The experimental results indicated that the proposed method achieved an accuracy improvement of approximately 14% and 2% in the world's largest benchmark dataset (MASD) and Unique dataset, respectively. In particular, the proposed approach won the Music Information Retrieval Evaluation eXchange (MIREX) music genre classification contests from 2011 to 2013, demonstrating the feasibility and necessity of combining acoustic and visual features for classifying music genres.<\/jats:p>","DOI":"10.1145\/2801127","type":"journal-article","created":{"date-parts":[[2015,8,26]],"date-time":"2015-08-26T14:00:30Z","timestamp":1440597630000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Combining Acoustic and Multilevel Visual Features for Music Genre Classification"],"prefix":"10.1145","volume":"12","author":[{"given":"Ming-Ju","family":"Wu","sequence":"first","affiliation":[{"name":"National Taiwan University, Hsinchu, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jyh-Shing R.","family":"Jang","sequence":"additional","affiliation":[{"name":"National Taiwan University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,8,24]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1137\/S00361445003822"},{"volume-title":"Proceedings of the 11th International Society for Music Information Retrieval Conference (ISMIR)","year":"2010","author":"Bergstra James","key":"e_1_2_1_2_1"},{"volume-title":"Proceedings of the International Conference on Music Information Retrieval. 591--596","year":"2011","author":"Bertin-Mahieux Thierry","key":"e_1_2_1_3_1"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2006.870086"},{"key":"e_1_2_1_5_1","unstructured":"Chuan Cao and Ming Li. 2009. 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