Thursday 25th of April 2024
 

Skin-color Based Videos Categorization


Rehanullah Khan, Asad Maqsood, Zeeshan Khan, Muhammad Ishaq and Arsalan Arif

On dedicated websites, people can upload videos and share it with the rest of the world. Currently these videos are categorized manually by the help of the user community. In this paper, we propose a combination of color spaces with the Bayesian network approach for robust detection of skin color followed by an automated video categorization. Experimental results show that our method can achieve satisfactory performance for categorizing videos based on skin color.

Keywords: video categorization, skin detection in videos, color spaces

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ABOUT THE AUTHORS

Rehanullah Khan
Rehan Ullah Khan graduated from University of Engineering and Technology Peshawar, with a BSc degree (Computer Engineering) in 2004 and MSc (Information Systems) in 2006. He obtained PhD degree in 2011 from Vienna University of Technology, Austria. He is currently an Assistant Professor at Sarhad University of Science and Technology, Peshawar. His research interests include color interpretation, segmentation and object recognition.

Asad Maqsood
Asad Maqsood is a lecturer at Sarhad University of Science and IT, Peshawar, Pakistan.

Zeeshan Khan
Zeeshan Khan is a PhD student at RWTH Aachen, Germany.

Muhammad Ishaq
Muhammad Ishaq is a lecturer at UET, Peshawar, Pakistan.

Arsalan Arif
Arsalan Arif is an Assistant Professor at Sarhad University of Science and IT, Peshawar, Pakistan.


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