Skin-color based videos categorization

TL;DR

This paper presents an automated method for categorizing videos based on skin color using a combination of color spaces and Bayesian networks, aiming to improve over manual categorization.

Contribution

It introduces a novel approach combining color spaces with Bayesian networks for robust skin color detection and automated video categorization.

Findings

Achieves satisfactory performance in skin color-based video categorization

Demonstrates the effectiveness of Bayesian networks in this context

Provides a foundation for further automation in video categorization

Abstract

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.