Region-of-interest (ROI) detection plays an important role in filtering out pornographic images. Skin-color models, as a traditional approach, extract skin-color regions as ROI. However, the approach is difficult to differentiate between human skins and other objects with the skin-color. Furthermore, skin-color regions are always larger than the subareas containing pornographic parts. In this p...

The colors of the human skin represent a special category of colors, because they are distinctive from the colors of other natural objects. This category is found as a cluster in color spaces, and the skin color variations between people are mostly due to differences in the intensity. Besides, the face detection based on skin color detection is a faster method as compared to other techniques. I...

Enhancing the performance of human face detection, tracking and recognition has been done by skin detection considering it as the fundamental step for the several decades. Of the evolved skin detection techniques, skin cluster classifier based on the human skin tone color are considered along with the concept of combination of two color spaces. This paper presents a novel method of combining mo...

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...

Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on the individual pixels. This paper presents a new region-based technique for skin color detection which outperforms the current state-of-the-art pixel-based skin color detection method on the popular Compaq ...

The increasing popularity of animes makes it vulnerable to unwanted usages like copyright violations and pornography. That’s why, we need to develop a method to detect and recognize animation characters. Skin detection is one of the most important steps in this way. Though there are some methods to detect human skin color, but those methods do not work properly for anime characters. Anime skin ...

Face detection is no more unbreakably correlated with face recognition. Instead it has been established as an important tool in the framework of many multimedia applications like indexing, scene classification and news summarization. Inspired of the work presented in [l], many face detection algorithms based on skin color characteristics have appeared in the literature. Most of them face genera...

Face detection in image sequence has been an active research area in the computer vision field in recent years due to its potential applications such as monitoring and surveillance, human computer interfaces, smart rooms, intelligent robots, and biomedical image analysis. Face detection is based on identifying and locating a human face in images regardless of size, position, and condition. An a...

We construct two graphical models for skin detection from a large collection of labeled data. Within it, parameter estimation is eradicated by tree approximations and the belief propagation algorithm permits to obtain exact and fast solution for skin probability at pixel locations. We then assess the performance on the Compaq database.

Steganography is the art of hiding the existence of data in another transmission medium, archive secrete communication.[1] The goal of stegannography is to hide an information message inside harmless cover medium in such way that it is not possible even to detect that secrete message. It does not replace cryptography but rather boosts the security using its obscurity features. Steganography met...