Two experiments tested whether innocent victims threaten observers' belief in a just world. In both experiments, participants viewed an innocent victim then performed a modified Stroop task in which they identified the color of several words presented for brief exposures (followed by a mask) on a computer screen. When the threat to justice beliefs was presumably highest, color-identification la...

BACKGROUND Cognitive theorists relate anxiety disorders to the way in which emotional information is processed. The existing research suggests that patients with anxiety disorders tend to allocate their attention toward threat-related information selectively, and this may differ among different types of anxious subjects. The aim of this study was to explore attentional bias in patients with gen...

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Run No. Run ID Run Description infMAP (%) training on IACC data 1 F A DFKI-MADM 3 SIFT visual words, Color Correlograms and Face-Detection separately trained, late fusion of SVMs scores 5.0 2 F A DFKI-MADM 4 SIFT visual words with SVMs 4.4

Selective attention has been intensively studied using the Stroop task. Evidence suggests that Stroop interference in a color-naming task arises partly because of visual attention sharing between color and word: Removing the target color after 150 msec reduces interference (Neumann, 1986). Moreover, removing both the color and the word simultaneously reduces interference less than does removing...

In this paper we propose a new descriptor for birds search. First, our work was carried on the choice of a descriptor. This choice is usually driven by the application requirements such as robustness to noise, stability with respect to bias, the invariance to geometrical transformations or tolerance to occlusions. In this context, we introduce a descriptor which combines the shape and color des...

This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing special visual object categories, called here as memory color categories, which have a relatively constant color (e.g. the sky). If such category is found from image, the initial white balance provided by a low-level col...

In this contribution, we develop an accurate and effective event detection method to detect events from a Twitter stream, which uses visual and textual information to improve the performance of the mining process. The method monitors a Twitter stream to pick up tweets having texts and images and stores them into a database. This is followed by applying a mining algorithm to detect an event. The...