Title :
A new fast system for objectionable image identification based on shape features
Author :
Yan-yan Sun ; Qiu-Qi Ruan
Author_Institution :
A new fast Syst. for objectionable image identification based on shape featuresy, Beijing Jiaotong Univ., Beijing
Abstract :
The paper introduces a new system for objectionable image identification based on shape feature extraction. The system targets 82% of the objectionable nude pictures and wrongly classifies 6.98% of the normal images. The processing speed is 0.115s per common image and 0.31s per pornographic image. The training and testing datasets of benign images are open libraries. The performance of the system is fairly good.
Keywords :
feature extraction; image classification; objectionable image identification; objectionable nude pictures; pornographic image; shape feature extraction; Feature extraction; Humans; Information science; Internet; Libraries; Pediatrics; Pixel; Shape; Skin; Testing;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697318
