A content–based coding scheme for the transmission of videophone sequences at very low bit rates conforming to the MPEG–4 standard is presented. The goal is to improve the image quality in the facial area of a person, at the expense of a lower quality in the remaining image, which is subjectively less important for the communication partner. In a first step, the face of the talking person is de...

This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or database retrieval). In such domains a cascade of simple classifiers each trained to achieve high detection rates and modest false positive rates can yield a final detector with many desirable features: including high detect...

This article contains a proposal for an automatic human face detection method, that tries to join several theories proposed by different authors. The method is based on detection of shape features (eye pairs) and skin color. The method assumes certain circumstances and constraints, respectively. Therefore it is not applicable universally. Given the constraints, it is effective enough for applic...

Pattern detection problems require a separation between two classes, Target and Clutter, where the probability of the former is substantially smaller compared to that of the latter. In this paper we propose a new classifier that exploits this property, yielding a low complexity yet effective target detection algorithm. This algorithm, called the maximal rejection classifier (MRC), is based on l...

This paper describes information theoretic methods for the determination of the optimal subset of pixels for the problem of face detection in complex backgrounds. A view-based method is described, which has limitations due to misalignments. This motivates the modular feature based method which minimizes the misalignment problem. Empirical comparisons between the viewbased, modular, and sum of s...

Face detection is a mature problem in computer vision. While diverse high performing face detectors have been proposed in the past, we present two surprising new top performance results. First, we show that a properly trained vanilla DPM reaches top performance, improving over commercial and research systems. Second, we show that a detector based on rigid templates similar in structure to the V...

This paper presents an implementation of a system designed for location of human faces and facial features such as pupils, eyes, nose and mouth. The kernel of the system is an integration of several algorithms, such as human face center -of-gravity template, illumination compensation, and so on . A false-face removal algorithm is proposed in this paper especially for the distinguish ing of cart...

In most classical formulations of learning from examples, a passive learner is presented with examples randomly drawn. Here we discuss an-focusing strategy that actively choose examples for concept learning. We describe the local focused property that functions must have for such a strategy to work. Finally, we develop an example selection heuristic, motivated by-focusing, for training a comput...

After training statistical models to classify sets of data into predetermined classes, it is often di cult to interpret what the models have learned. This paper presents a novel approach for nding examples which lie on the decision boundaries of statistical models trained for classi cation. These examples provide insight into what the model has learned. Additionally, they can provide candidates...

The face detection problem, defined as: to determine any face -if anyin the image returning the location and extent of each [Yang et al., 2002], seems to be solved, according to some recent works [Schneiderman and Kanade, 2000] [Viola and Jones, 2001]. Particularly for video stream processing, these approaches focus the problem in a monolithic fashion, forgetting elements that the human system ...