This paper presents an automatic video genre classification system, which utilizes several low-level audio-visual cues as well as cognitive and structural information to classify the types of TV programs and YouTube videos. Classification is performed using support vector machines. The system is int
[ACM Press the 3rd international workshop - Firenze, Italy (2010.10.29-2010.10.29)] Proceedings of the 3rd international workshop on Automated information extraction in media production - AIEMPro '10 - Content-based video genre classification using multiple cues
β Scribed by Ekenel, Hazim Kemal; Semela, Tomas; Stiefelhagen, Rainer
- Book ID
- 121732358
- Publisher
- ACM Press
- Year
- 2010
- Weight
- 837 KB
- Category
- Article
- ISBN
- 1450301649
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