This paper proposes a novel generative model for natural image representation and scene classification. Given a natural image, it is decomposed with learned holistic basis called scene gist components. This gist representation is a global and adaptive image descriptor, generatively including most essential information related to visual perception. Meanwhile prior knowledge for scene category is...

Attention is thought to impose an informational bottleneck on vision by selecting particular information from visual scenes for enhanced processing. Behavioral evidence suggests, however, that some scene information is extracted even when attention is directed elsewhere. Here, we investigated the neural correlates of this ability by examining how attention affects electrophysiological markers o...

Although significant research effort has been devoted to the natural scene analysis, there hasn’t been much work on natural scene synthesis. The research of such nature can help understand the hidden structure of natural texture and the illumination patterns for classification and segmentation purposes. The common texture synthesis methods are not suitable for natural scene synthesis due to inh...

Natural scene images are generally captured with portable devices such as mobile phone cameras. Scene images contains text information as part of captured scene. Scene image text poses difficultly in processing as compared to document text due to complexity of scene and open environment conditions. Scene images usually suffer from skew deformation due to inherent nature of portable capturing de...

Evidence suggests that experiencing the hollow-face illusion involves perceptual reversal of the binocular disparities associated with the face even though the rest of the scene appears unchanged. This suggests stereoscopic processing of object shape may be independent of scene-based processing of the layout of objects in depth. We investigated the effects of global scene-based and local object...

In this paper, we propose a novel methodology for text detection in natural scene images. The proposed methodology is based on an efficient binarization and enhancement technique followed by a suitable connected component analysis procedure. Image binarization successfully processes natural scene images having shadows, non-uniform illumination, low contrast and large signaldependent noise. Conn...