Authors:
Henry A. Rowley
1
;
Yushi Jing
2
and
Shumeet Baluja
3
Affiliations:
1
Google, Inc., United States
;
2
College of Computing, Georgia Institute of Technology, United States
;
3
Google, Inc.; Carnegie Mellon University, United States
Keyword(s):
Image processing and applications, computer vision, adult-content detection, skin color detection.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Statistical Approach
Abstract:
As more people start using the Internet and more content is placed online, the chances that individuals will encounter inappropriate or unwanted adult-oriented content increases. This paper presents a practical and scalable method to efficiently detect many adult-content images, specifically pornographic images. We currently use this system in a search engine that covers a large fraction of the images on the WWW. For each image, face detection is applied and a number of summary features are computed; the results are then fed to a support vector machine for classification. The results show that a significant fraction of adult-content images can be detected.