We present a new system for the recognition of cursive handwriting that is based on a perceptive model and neural networks. At the high level, our system takes into account several psychological effects such as the word superiority effect. At the low level, it utilizes a global feature extraction method which models how some features might be preattentively detected by the human visual system. ...

In this paper, the system developed by the University of Bremen for participation in the Trecvid 2006 high-level feature extraction task is presented. Six runs have been submitted, each of them incorporating a different combination of three classifiers based on image, sound, and text features. For the feature Corporate Leader, aboveaverage results could be achieved. Results are shown and differ...

Human Behavior Analysis in Uncontrolled Environments can be categorized in two main challenges: 1) Feature extraction and 2) Behavior analysis from a set of corporal language vocabulary. In this work, we present our achievements characterizing some simple behaviors from visual data on different real applications and discuss our plan for future work: low level vocabulary definition from bag-of-g...

How to accurately interpret user click behaviour in search log is a key but challenging problem for search relevance. In this paper, we describe our solution to the relevance prediction challenge which achieves the first place among eligible teams. There are three stages in our solution: feature generation, feature augmentation and learning a ranking function. In the first stage, we extract fea...

We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video sequences into 2D+time objects. The segmentation result has been used with great success in a compression scheme. In the present work, the Gaussian components of the model are considered to completely model the correspond...

Orientation features of the palmprint are usually used in palmprint recognitionmethods. Conventional orientation basedmethods are always based on an assumption that the line in a palmprint is straight and possesses only a single dominant orientation. However, a large number of “lines” in a palmprint are curves. The point in these curves usually has two dominant orientations. Moreover, it can be...

This paper presents a visual architecture able to identify salient regions in a visual scene and to use them to focus on interesting locations. It is inspired by the ability of natural vision systems to perform a differential processing of spatial frequencies both in time and space and to focus their attention on a very local part of the visual scene. The present paper analyzes how this differe...