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Obscene video detection is a core technology to prevent inappropriate access of children or teenagers to obscene video contents. There are many obscene video or image detection methods such as skin region analysis based methods, global histogram based methods. However, accuracy of these methods are not high enough to be deployed in the real-world environment. In this paper, we propose an obscene video...
As an alternative to vector-based descriptors, such as SIFT and SURF, more computationally efficient binary descriptors, such as BRISK and ORB, have recently been proposed. These binary descriptors are usually used in combination with a novel scale-space FAST-based detector to be suitable for real-time applications, but it consumes more time than creating binary descriptors. Therefore, if accuracy...
Much research has been done to block objectionable images by analyzing the visual contents. The region-of-interest based approach are more accurate in describing the image content than the approach using the whole image in the field of content-based image retrieval. Therefore, this paper proposes a method for classifying objectionable images based on global features and salient region. By using the...
For the image domain, much research has been done to protect children from the harmful exposure to the objectionable images. Although image classification techniques require low computation time, it requires longer computation time to classify the videos. To classify the objectionable videos, it needs to process the many representative key-frames. To reduce the processing time of video classification,...
Over the last decade, feature point descriptors such as SIFT have become indispensable tools in the computer vision community. But, the descriptor's high computational overhead becomes a significant concern when it has to be on a device with limited computational and storage resources. In order to make descriptors faster to compute and more compact, several binary descriptors such as ORB and BRISK...
This paper presents an efficient hardware architecture for a real-time face detection system using a reconfigurable logic device. The proposed architecture is based on AdaBoost learning algorithm with Haar-like features and it aims to apply to a reconfigurable device. The proposed system was verified by the RTL functional simulation and tested the same input images on the OpenCV program for a fair...
Although visual attention models have shown good performance in general environments, applying it for filtering objectionable image needs consideration for skin information. Therefore, in this paper, we proposed the saliency detection method specialized in adult image classification using the skin color and the contrast information. Skin information combined saliency map is generated by merging the...
As a growing number of minors are exposed to pornographic multimedia, the need to prevent inappropriate access to this has increased. Adult image detection i s a n important technology for this purpose, and several algorithms have been proposed. However, the simple methods such as analyzing skin regions or global histogram suffer from low classification accuracy. Recent advances in adult image detection...
The segmental two-dimensional Mel-frequency cepstral coefficient (STDMFCC) feature has been successfully used in recent studies to detect objectionable sounds, which implicitly represent both static and dynamic characteristics of signal. This study now proposes a new normalized STDMFCC to improve the content recognition performance in diverse noisy environments. Two tests were conducted to verify...
This paper proposes the repeated curve-like spectrum feature in order to classify and detect objectionable sounds. Objectionable sounds in this paper refer to the audio signals generated from sexual moans and screams in various sexual scenes. For reasonable results, we define the audio-based objectionable conceptual model with six categories from which dataset of objectionable classes are constructed...
This paper presents a novel human body parts segmentation method using Laws texture energy measures with skin color in YCbCr. The proposed segmentation is used in the candidate detection phase of human body part recognition. Therefore, this work can be widely applied to face detection, person layout detection, contents filtering, and privacy protection.
The rapid development of multimedia related technologies and internet infrastructure have made general users can create, edit, and post their contents and can easily access any content that they desire. But it also leads to the harmful side effects that are creation and uncontrolled distribution of objectionable contents. Especially it is very serious for pornographic contents that are more than about...
This paper presents a novel method of classifying media data whether they include X-rated contents or not. In our work, the classification of media data is performed using the class probability output network (CPON) which estimates the conditional class probability. Consequently, the classification of media data can be done using the degree of confidence for the class membership, not just using the...
With the increasing demand for access of mobile Internet via smartphones, the needs of adult images and videos filtering is escalating. In this paper, we propose a simple and fast objectionable video classification scheme using temporal motion and color energy features (TMCEF) and evaluate the performance on accuracy and processing time. The video segments extracted from a video clip have similar...
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