This work concentrates on the problem of watermarking embedding and optimum detection in color images through the use of spread spectrum techniques, both in space (Direct Sequence Spread Spectrum or DSSS) and frequency (Frequency Hopping). It is applied to RGB and opponent color component representations. Perceptive information is considered in both color systems. Some tests are performed in or...

This work concentrutes on the problem of wutermurking embedding und optimum detection in color imuges through the use of spread spectrum techniques, both in spuce (Direct Sequence Spread Spectrum or DSSS) and fiequency (Frequency Hopping). It is applied to RGB und opponent color component representutions. Perceptive information is considered in both color systems. Some tests are performed in or...

Recently, video based flame detection technologies have become an important approach to the early detection of potential fire disasters. The recognition accuracy of most of the existing approaches for video based flame detection is not satisfactory. In this paper, we develop a new video based flame detection algorithm that can accurately recognize flames in video sequences based on color and ge...

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...

This paper proposes improvements on the embedding and the detection watermarking techniques, aiming for improved color hardcopy watermarking using inkjet printers. We investigate informed coding along with a multibit spread spectrum modulation framework for watermarking color images to be deployed as printed media. The proposed approach aims to maximize the watermarking robustness with a modula...

In this report, survey on human face detection in color images and an implementation of automatic faces detection based on skin color and face features are presented. The color information in YCbCr color space is combined with the multiple features such as eyes and mouth, to detect faces in arbitrary color images. This implementation consists of four parts: a human skin segmentation to identify...

Techniques for color-based tracking of faces or hands often assume a static skin color model. However, skin color perceived by a camera can change when lighting changes. In common real environment multiple light sources impinge on the skin. Therefore, for robust skin pixel detection, a dynamic skin color model that can cope with the changes must be employed. We show that skin detection in video...

Human face detection is a significant problem of image processing and is usually a first step for face recognition and visual surveillance. This paper presents the details of face detection approach that is implemented to achieve accurate face detection in group color images which are based on facial feature and Support Vector Machine. In the first step, the proposed approach quickly separates ...

Skin color can provide a useful and robust cue for human-related image analysis, such as face detection, pornographic image filtering, hand detection and tracking, people retrieval in databases and Internet, etc. The major problem of such kinds of skin color detection algorithms is that it is time consuming and hence cannot be applied to a real time system. To overcome this problem, we introduc...

Color histogram is widely used in image retrieval due to its simplicity and fast operation speed. Since color histogram describes only global color distribution in an image, it is not robust to large changes in appearance and shape caused by viewing position, camera zoom, etc. To overcome this problem, we propose the method using the color edge information. Although changes in appearance and sh...