Abstract
In this paper, we propose an integrated music video browsing system for personalized digital television. The system has the functions of automatic music emotion classification, automatic theme-based music classification, salient region detection, and shot classification. From audio (music) tracks, highlight detection and emotion classification are performed on the basis of information on temporal energy, timbre and tempo. For video tracks, shot detection is fulfilled to classify shots into face shots and color-based shots. Lastly automatic grouping of themes is executed on music titles and their lyrics. With a database of international music videos, we evaluate the performance of each function implemented in this paper. The experimental results show that the music browsing system achieves remarkable performances. Thus, our system can be adopted in any digital television for providing personalized services.
| Original language | English |
|---|---|
| Pages (from-to) | 776-784 |
| Number of pages | 9 |
| Journal | Expert Systems with Applications |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2011 Jan 1 |
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Keywords
- Highlight detection
- Music emotion classification
- Music video browsing
- Shot classification
- Theme-based music classification
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Engineering(all)
Cite this
An integrated music video browsing system for personalized television. / Kim, Hyoung Gook; Kim, Jin Young; Baek, Jun-Geol.
In: Expert Systems with Applications, Vol. 38, No. 1, 01.01.2011, p. 776-784.Research output: Contribution to journal › Article
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TY - JOUR
T1 - An integrated music video browsing system for personalized television
AU - Kim, Hyoung Gook
AU - Kim, Jin Young
AU - Baek, Jun-Geol
PY - 2011/1/1
Y1 - 2011/1/1
N2 - In this paper, we propose an integrated music video browsing system for personalized digital television. The system has the functions of automatic music emotion classification, automatic theme-based music classification, salient region detection, and shot classification. From audio (music) tracks, highlight detection and emotion classification are performed on the basis of information on temporal energy, timbre and tempo. For video tracks, shot detection is fulfilled to classify shots into face shots and color-based shots. Lastly automatic grouping of themes is executed on music titles and their lyrics. With a database of international music videos, we evaluate the performance of each function implemented in this paper. The experimental results show that the music browsing system achieves remarkable performances. Thus, our system can be adopted in any digital television for providing personalized services.
AB - In this paper, we propose an integrated music video browsing system for personalized digital television. The system has the functions of automatic music emotion classification, automatic theme-based music classification, salient region detection, and shot classification. From audio (music) tracks, highlight detection and emotion classification are performed on the basis of information on temporal energy, timbre and tempo. For video tracks, shot detection is fulfilled to classify shots into face shots and color-based shots. Lastly automatic grouping of themes is executed on music titles and their lyrics. With a database of international music videos, we evaluate the performance of each function implemented in this paper. The experimental results show that the music browsing system achieves remarkable performances. Thus, our system can be adopted in any digital television for providing personalized services.
KW - Highlight detection
KW - Music emotion classification
KW - Music video browsing
KW - Shot classification
KW - Theme-based music classification
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U2 - 10.1016/j.eswa.2010.07.032
DO - 10.1016/j.eswa.2010.07.032
M3 - Article
VL - 38
SP - 776
EP - 784
JO - Expert Systems with Applications
JF - Expert Systems with Applications
SN - 0957-4174
IS - 1
ER -