Results 281 to 290 of about 2,341,143 (329)

Genre classification of paintings

2016 International Symposium ELMAR, 2016
Extensive digitization efforts in the recent years have led to a large increase of digitized and online available fine-art collections. With digitization of artworks, we aim to preserve all those valuable evidences of various human creative expressions, as well as make them available to a broader audience.
Grgić, Sonja, Cetinić, Eva
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MUSIC GENRE CLASSIFICATION

2022
With the growth of online music databases and easy access to music content, people find it increasing hard to manage the songs that they listen to. Music genre classification is a vital activity that involves categorizing music genres from audio data. In the field of music information retrieval, music genre classification is frequently utilized.
Anantha Krishna G.K, Suhas A Bhyratae, Advithiya A Bangera, null Maruthi, Deepraj Majalikar   +4 more
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Web page genre classification

Proceedings of the 2008 ACM symposium on Applied computing, 2008
In this paper we present an automatic genre-based Web page classification system. Unlike subject or topic based classifications, genre-based classifications focus on functional purposes and classify web pages into categories such as online shopping, technical paper, or discussion forum. Until now, the genre classifications are not well developed due to
Guangyu Chen, Ben Choi 0002
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ELM for the Classification of Music Genres

2006 9th International Conference on Control, Automation, Robotics and Vision, 2006
As we produce more digital music, they need to be organized into various classes of music for easy search and retrieval operations. Various classifiers can be employed to carry out the classification. This paper evaluates the performance of Extreme Learning Machine (ELM) as a classifier in the field of music classification.
Qi-Jun Benedict Loh, Sabu Emmanuel
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Genre Classification on German Novels

2015 26th International Workshop on Database and Expert Systems Applications (DEXA), 2015
The study of German literature is mostly based on literary canons, i.e., small sets of specifically chosen documents. In particular, the history of novels has been characterized using a set of only 100 to 250 works. In this paper we address the issue of genre classification in the context of a large set of novels using machine learning methods in order
Lena Hettinger, Martin Becker 0003, Isabella Reger, Fotis Jannidis, Andreas Hotho   +4 more
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Text genre classification research

2017 International Conference on Computer, Information and Telecommunication Systems (CITS), 2017
Essays in different text genres have different ideas and writing method. Prediction the text genres firstly will help get a better accuracy when predicting the success of literary or finding the beautiful words and sentences in the essay. And it will help set a different standard for different text genres when scoring the writing by computer. Words and
Zhijuan Xu, Lizhen Liu, Wei Song 0010, Chao Du   +3 more
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Music Genre Classification with Taxonomy

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
Automatic music genre classification is a fundamental component of music information retrieval systems and has been gaining importance and enjoying a growing amount of attention with the emergence of digital music on the Internet. Although considerable research has been conducted in automatic music genre classification, little has been done on ...
Tao Li 0001, Mitsunori Ogihara
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Music Genre Classification

Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, 2018
In this paper, we report our initial investigations on the genre classification problem in Music Information Retrieval. Each music genre has its unique characteristics, which distinguish it from other genres. We adapt association analysis and use it to capture those characteristics using acoustic features, i.e., each genre's characteristics are ...
Adam Lefaivre, John Z. Zhang
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On Efficient Music Genre Classification

2005
Automatic music genre classification has long been an important problem. However, there is a paucity of literature that addresses the issue, and in addition, reported accuracy is fairly low. In this paper, we present empirical study of a novel music descriptor generation method for efficient content based music genre classification.
SHEN, Jialie, John, Shepherd, Ahh, Ngu
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Genre classification of compressed audio data

2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008
This paper deals with the musical genre classification problem, starting from a set of features extracted directly from MPEG-1 layer III compressed audio data. The automatic classification of compressed audio signals into a short hierarchy of musical genres is explored. More specifically, three feature sets for representing timbre, rhythmic content and
RIZZI, Antonello, BUCCINO, NICOLA MAURIZIO, PANELLA, Massimo, UNCINI, Aurelio   +3 more
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