Robust detection of mosaic masking region

Author

Jung-Jae Yu ; Seung-Wan Han

Author_Institution

Human Identification Res. Sect., ETRI, Daejeon, South Korea

fYear

2015

fDate

28-30 Jan. 2015

Firstpage

1

Lastpage

4

Abstract

In this paper, a novel method to automatically detect mosaic masking regions in an input image is proposed. Mosaic masking region can be used as an important clue for recognizing commercial pornographic images. The proposed method is composed of three steps. The first step is to extract SRE features using a new cross-shaped feature characteristic, and the second step is to estimate the parameters of a mosaic candidate region, and the final step is SRD verification using the characteristic of luminance distribution in a mosaic masking region. Proposed method is fast and robust to blurring effects caused by image resizing and low quality video compression and it can be used for computer vision application to block adult videos.

Keywords

feature extraction; image segmentation; object detection; parameter estimation; SRD verification; SRE feature extraction; adult videos; blurring effects; computer vision application; cross-shaped feature characteristic; image resizing; low quality video compression; luminance distribution characteristic; mosaic candidate region; mosaic masking region detection; parameters estimation; pornographic image recognition; robust detection; adult; detection; feature; masking; mosaic; pornographic;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on

Conference_Location

Mokpo

Type

conf

DOI

10.1109/FCV.2015.7103722

Filename

7103722