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A robusttting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy inputdata and outliers. Furthermore it should be capable of h...
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require iterative minimization ...
We present a novel mean shift approach in this paper forrobust object tracking based on an inertial potential model.Conventional mean shift based trackers exploit only appear-ance information of obser...
Image authentication is usually approached by checking the preservation of some invariant features, which are expected to be both robust and discriminative so that contentpreserving operations are acc...
A large amount of videos on the Internet are generated from authorized sources by various kinds of transformations. Many works are proposed for robustdescription of video, which lead to satisfying ma...
The performance of a learning-based method highly depends on the quality of a training set. However, it is very challenging to collect an efficient and effective training set for training a good class...
This paper introduces a Self-Similarity Matrix (SSM) based video copy detection scheme and a Visual Character-String (VCS) descriptor for SSM matching. SSM, which exploits the spatial and temporal inf...
This paper presents a robust video fingerprinting based on visual attention regions. Video fingerprints, which are a set of short feature vectors, are unique to video clips and used for video identifi...
Among approaches in implementing Digital Rights Management, image fingerprinting technique is considered to be one of the most attractive solutions, especially in detecting illegal use of image works....
The automatic detection and tracking of multiple skin-colored objects in videos plays important roles in gestural human-computer interaction, such as in gesture and sign language recognition. In this ...
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
Inspired by Weber's Law, this paper proposes a simple,yet very powerful and robust local descriptor, Weber Local Descriptor (WLD). It is based on the fact that human perception of a pattern depends on...
In this paper, we present a new feature extraction algorithm which can generate robust and reliable feature in a fingerprint system. This algorithm is referred to as weighted ASF (WASF). The feature...
Image fingerprinting technique plays an important role in Digital Rights Management and related applications, especially in the detection of the illegal use of image works. Although existing image fin...

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