Skin-color based videos categorization
This addresses the need for automated video categorization for website users, but it is incremental as it builds on existing skin detection techniques.
The paper tackled the problem of manually categorizing videos on websites by proposing an automated method using color spaces and Bayesian networks for skin color detection, achieving satisfactory performance.
On dedicated websites, people can upload videos and share it with the rest of the world. Currently these videos are cat- egorized 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. Exper- imental results show that our method can achieve satisfactory performance for categorizing videos based on skin color.