Unsupervised Ads Detection in TV Transmissions
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 4
Abstract
A novel framework is presented that can segment semantic videos and detect commercials (ads) in a broadcasted TV transmission. The proposed technique combines SURF features and color Histogram in a weighted combination framework resulting in detecting individual TV ads from the transmission after segmenting semantic videos. Thus, better results are achieved. The proposed framework is designed for TV transmissions those who do not use black frame technique between the ad and non-ad part of the transmission and is commonly used in Pakistani TV channels transmission. The television transmission standards in Pakistan are different from those that are used in other countries of the world. The framework used unsupervised technique to segment the semantic videos.
Authors and Affiliations
Waseemullah Waseemullah, Najeed Ahmed Khan, Umair Amin
Keywords
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- EP ID EP286405
- DOI 10.14569/IJACSA.2018.090453
- Views 100
- Downloads 0
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