We present a robust algorithm for point tracking on deformable objects. The key elements are the use of orientation selective rank features (ranklets), local filter adaptation and...
Fabrizio Smeraldi, Alessio Del Bue, Lourdes de Aga...
This paper presents a new approach to texture defect detection based on a set of optimised filters. Each filter is applied to one wavelet sub-band and its size and shape are tuned ...
Digital fingerprinting is an important tool in multimedia forensics to trace traitors and protect multimedia content after decryption. This paper addresses the enforcement of digi...
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...
Benjamin Deutsch, Heinrich Niemann, Joachim Denzle...
In this paper, we elaborate on denoising schemes based on lossy compression. First, we provide an alternative interpretation of the so-called Occam filter and relate it with the c...
Unsolicited Commercial Email (UCE), also known as spam, has been a major problem on the Internet. In the past, researchers have addressed this problem as a text classification or ...
The common approach to image matching is to detect spatial features present in both images and create a mapping that relates both images. The main drawback of this method takes pl...
This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature ...
Joint source-channel coding of scalable video using motion-compensated temporal filtering is considered. The proposed coding scheme consists of a structured vector quantizer based ...
This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...