Recent complexity analysis shows that the problem of visual recognition is an intractable problem, as is the training of neural networks. We propose a representation scheme which greatly simplifies recognition. The approach relies on the wavelet analysis, a recent tool developed for local spacefrequency analysis of a broad class of functions. Based on two assumptions, ( i ) visuai objecrs are l...

1 Department of Computer Science and Automation Supercomputer Education and Research Centre Indian Institute of Science, Bangalore, India [email protected] 2 Department of Computer Science Genome Center University of California, Davis, California, USA [email protected] 3 Department of Computer Science and Engineering The Ohio State University, Columbus, Ohio, USA [email protected]...

Current computer vision techniques can effectively monitor gross activities in sparse environments. Unfortunately, visual stimulus is often not sufficient for reliably discriminating between many types of activity. In many cases where the visual information required for a particular task is extremely subtle or non-existent, there is often audio stimulus that is extremely salient for a particula...

The non-linear complexity of evolutionary algorithms (EAs) make them a challenge to understand. The difficulty in performing detailed analyses of an EA is in sorting through the large amount of of data that can be generated in a single run. This paper describes a visualization tool that facilitates navigation through the details of an EA run. The visualization tool organizes and displays EA dat...

This study examines the visual aesthetic function of English signs in line with ethnographic approaches as a means of achieving various symbolic and communicative implications in the linguistic landscape (LL) of Jordan. Having coded the data in 6 urban streets of the major Jordanian cities, the social semiotic analysis centers on the visual layout of signs based on the typographical features of...

One of the most important applications in visual analytics has been exploratory visual analysis of large collections of unstructured text documents. However, digital media, especially those on the Internet, are multimedia in content with text, images, video, and even sound together. Furthermore, there is an explosion of broadcast and other media, especially in third world countries. (In the Mid...

Objects in our environment tend to be grouped in typical contexts. How does the human brain analyze such associations between visual objects and their specific context? We addressed this question in four functional neuroimaging experiments and revealed the cortical mechanisms that are uniquely activated when people recognize highly contextual objects (e.g., a traffic light). Our findings indica...