Attention and spatial scale selection in scene categorization
نویسندگان
چکیده
منابع مشابه
Rapid natural scene categorization in the near absence of attention.
What can we see when we do not pay attention? It is well known that we can be "blind" even to major aspects of natural scenes when we attend elsewhere. The only tasks that do not need attention appear to be carried out in the early stages of the visual system. Contrary to this common belief, we report that subjects can rapidly detect animals or vehicles in briefly presented novel natural scenes...
متن کاملAttention to hierarchical level influences attentional selection of spatial scale.
Ample evidence suggests that global perception may involve low spatial frequency (LSF) processing and that local perception may involve high spatial frequency (HSF) processing (Shulman, Sullivan, Gish, & Sakoda, 1986; Shulman & Wilson, 1987; Robertson, 1996). It is debated whether SF selection is a low-level mechanism associating global and local information with absolute LSF and HSF content, o...
متن کاملAge-Related Differences in Spatial Frequency Processing during Scene Categorization
Visual analysis of real-life scenes starts with the parallel extraction of different visual elementary features at different spatial frequencies. The global shape of the scene is mainly contained in low spatial frequencies (LSF), and the edges and borders of objects are mainly contained in high spatial frequencies (HSF). The present fMRI study investigates the effect of age on the spatial frequ...
متن کاملImage Categorization Using Scene-Context Scale Based on Random Forests
Scene-context plays an important role in scene analysis and object recognition. Among various sources of scene-context, we focus on scene-context scale, which means the effective scale of local context to classify an image pixel in a scene. This paper presents random forests based image categorization using the scene-context scale. The proposed method uses random forests, which are ensembles of...
متن کاملSaliency Maps and Attention Selection in Scale and Spatial Coordinates: An Information Theoretic Approach
Information measures with respect to spatial locations and scales of objects in an image are important to image processing and interpretation. It allows us to focus attention on relevant data, saving eeort and reducing false positives. In particular, the information content of a man-made scene is typically conned to a small set of scales. We devise a scale space based measure of image informati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Vision
سال: 2013
ISSN: 1534-7362
DOI: 10.1167/13.9.431