Learning-based multimedia analyses and applications
The methodologies on multimedia analysis usually combine different sources/modalities of information such as text, audio, and images to solve various practical tasks related to advertisement, education, art, and so on. In recent years, machine learning has gained much popularity and has been intensi...
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sg-ntu-dr.10356-812962020-03-07T11:48:53Z Learning-based multimedia analyses and applications Gong, Chen Li, Zechao Chang, Xiaojun Luo, Yong School of Computer Science and Engineering Multimedia Applications DRNTU::Engineering::Computer science and engineering Multimedia Analyses The methodologies on multimedia analysis usually combine different sources/modalities of information such as text, audio, and images to solve various practical tasks related to advertisement, education, art, and so on. In recent years, machine learning has gained much popularity and has been intensively applied to deal with different kinds of multimedia problems. However, massive problems still remain unsolved on both algorithm design and multimedia applications. Published version 2019-01-16T03:37:55Z 2019-12-06T14:27:42Z 2019-01-16T03:37:55Z 2019-12-06T14:27:42Z 2018 Journal Article Gong, C., Li, Z., Chang, X., & Luo, Y. (2018). Learning-based multimedia analyses and applications. Advances in Multimedia, 2018, 2705839-. doi:10.1155/2018/2705839 1687-5680 https://hdl.handle.net/10356/81296 http://hdl.handle.net/10220/47479 10.1155/2018/2705839 en Advances in Multimedia © 2018 Chen Gong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 2 p. application/pdf |
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Multimedia Applications DRNTU::Engineering::Computer science and engineering Multimedia Analyses |
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Multimedia Applications DRNTU::Engineering::Computer science and engineering Multimedia Analyses Gong, Chen Li, Zechao Chang, Xiaojun Luo, Yong Learning-based multimedia analyses and applications |
| description |
The methodologies on multimedia analysis usually combine different sources/modalities of information such as text, audio, and images to solve various practical tasks related to advertisement, education, art, and so on. In recent years, machine learning has gained much popularity and has been intensively applied to deal with different kinds of multimedia problems. However, massive problems still remain unsolved on both algorithm design and multimedia applications. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Gong, Chen Li, Zechao Chang, Xiaojun Luo, Yong |
| format |
Article |
| author |
Gong, Chen Li, Zechao Chang, Xiaojun Luo, Yong |
| author_sort |
Gong, Chen |
| title |
Learning-based multimedia analyses and applications |
| title_short |
Learning-based multimedia analyses and applications |
| title_full |
Learning-based multimedia analyses and applications |
| title_fullStr |
Learning-based multimedia analyses and applications |
| title_full_unstemmed |
Learning-based multimedia analyses and applications |
| title_sort |
learning-based multimedia analyses and applications |
| publishDate |
2019 |
| url |
https://hdl.handle.net/10356/81296 http://hdl.handle.net/10220/47479 |
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1681041029684264960 |