Neural oscillations are crucial for revealing dynamic cortical networks and for serving as a possible mechanism of inter-cortical communication, especially in association with mnemonic function. The interplay of the slow and fast oscillations might dynamically coordinate the mnemonic cortical circuits to rehearse stored items during working memory retention. We recorded simultaneous EEG-fMRI du...

Considering the problem of automatic traffic signs recognition in natural scene image (mainly including three kinds of traffic signs: yellow warning signs, red prohibition signs and blue mandatory signs), a new method for traffic signs recognition based on central projection transformation is proposed in this paper. In this method, self-adaptive image segmentation is firstly used to extract bin...

Scene text recognition brings various new challenges occurs in recent years. Detecting and recognizing text in scenes entails some of the equivalent problems as document processing, but there are also numerous novel problems to face for recognizing text in natural scene images. Recent research in these regions has exposed several promise but present is motionless much effort to be entire in the...

Structure information is ubiquitous in natural scene images and it plays an important role in scene representation. In this paper, third order structure statistics (TOSS) and fourth order structure statistics (FOSS) are exploited to encode higher order structure information. Afterwards, based on the radial and normal slice of TOSS and FOSS, we propose the high order structure feature: third ord...

This paper addresses the problem of war scene classification. Scene classification underlies many problems in visual perception such as object recognition and environment navigation. Scene classification, the classification of images into semantic categories (e.g. opencountry, mountains, highways and streets) is a challenging and important task nowadays. In this paper we are trying to classify ...

We address the grounding of natural language to concrete spatial constraints, and inference of implicit pragmatics in 3D environments. We apply our approach to the task of text-to-3D scene generation. We present a representation for common sense spatial knowledge and an approach to extract it from 3D scene data. In text-to3D scene generation, a user provides as input natural language text from ...

The analysis of natural scenes is an important research area. Scene analysis research provides the foundation for the development of autonomous systems whose vision sensors provide important information about the surrounding environment. In this paper we introduce the MINERVA scene analysis benchmark to the vision community and provide preliminary results on this data. The scene analysis benchm...

| In applications of augmented reality like virtual studio TV production, multi-site video conference applications using a virtual meeting room and synthetic/natural hybrid coding according to the new ISO/MPEG-4 standard, a synthetic scene is mixed into a natural scene to generate a synthetic/natural hybrid image sequence. For realism, the illumination in both scenes should be identical. In thi...

The seasonal analysis of vegetation can be considered as looking for fundamental redundant information and detecting, at the same time, the natural changes of the vegetative cover undergone by the observed scene. From the statistical point of view, the redundant information can be quantified by the correlation coefficients between the multi-temporal images while the natural changes can be consi...

We investigate a method called Multiple-Instance learning for learning simple templates that capture the color and spatial properties of classes of natural scene images from a small set of examples. These templates encode a scene class as image patches with color and spatial relations and can be used to classify a variety of natural scenes like elds, waterfalls and mountains among others. Examp...