Title :
Skin detection for adult image identification
Author :
Jung-Jae Yu ; Seung-Wan Han
Author_Institution :
Video Surveillance Res. Sect. Electron. & Telecommun. Res. Inst., South Korea
Abstract :
This work is aimed at the estimation of the skin region in pornographic images to identify and block the pornographic contents. We propose a novel method to estimate the skin region using simple operation in HSV color space and additional postprocessing to reduce the noise effects. Our method does not require any pre-process such as object detection. It is fast and its result is good enough to be used for fitlering out the clear non-objectionable images before main identification process. So the proposed method can be used as pre-processing for more accurate poronographic image identification process.
Keywords :
image colour analysis; image denoising; image sensors; object detection; skin; HSV color space; adult image identification; noise effect reduction; object detection; poronographic image identification process; skin detection; skin region estimation; Computational modeling; Equations; Estimation; Image color analysis; Image edge detection; Pattern recognition; Skin; adult; color; detection; estimation; image; naked; pornography; skin;
Conference_Titel :
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location :
Pyeongchang
Print_ISBN :
978-89-968650-2-5
DOI :
10.1109/ICACT.2014.6779041