The human visual system (HVS) is a complex biological system, which executes a number of highly demanding tasks in real time. The complexity of this system may be better appreciated if we quote the following facts: Visual intelligence occupies almost half of your brain’s cortex (Hoffman, 2000), 70% of all receptors, 40+% of cortex and 4 billion neurons are dedicated to vision and we can see muc...

Abstract In recent years, with the development of computer and network technologies, digital video image information is emerging more more, era based on multimedia services coming to us, people’s demand for visual media content such as images becoming extensive. this paper, we use Gaussian mixture model pixel detection technology method study meet various needs users. SVM used perform classific...

Recent advances in neural network modeling have enabled major strides in computer vision and other artificial intelligence applications. Human-level visual recognition abilities are coming within reach of artificial systems. Artificial neural networks are inspired by the brain, and their computations could be implemented in biological neurons. Convolutional feedforward networks, which now domin...

Large, high-resolution displays carry the potential to enhance single display groupware collaborative sensemaking for intelligence analysis tasks by providing space for common ground to develop, but it is up to the visual analytics tools to utilize this space effectively. In an exploratory study, we compared two tools (Jigsaw and a document viewer), which were adapted to support multiple input ...

Traditionally, the analysis of visual arts is performed by human art experts only. The availability of advanced artificial intelligence techniques makes it possible to support art experts in their judgement of visual art. In this paper image-analysis techniques are applied to measure the complementary colours in the oeuvre of Vincent van Gogh. It is commonly acknowledged that, especially in his...

The extent to which the acquisition of expertise in knowledge-rich domains, such as chess, can be influenced by general individual characteristics, such as intelligence, has remained unclear. Some previous studies with children have documented significant correlations between chess skill and performance on some psychometric tests, such as performance IQ. However, we found no evidence for a corr...

Knowledge representation is central to Artificial Intelligence, since any intelligent system should include knowledge about the world and provide representations for objects, processes, properties, and relations between objects. The cognitive shift in Terminology has affected the way lexicographers and terminologists understand and describe specialized language, promoting the inclusion of semio...

The paper emphasizes active entities based modelling of visual programming techniques. Active Objects Model (AOM) and AGent Modelling Language (AGML) are defined and investigated in order to develop flexible and dynamic functionality of interactive components. Therefore the visual programming techniques, distributed knowledge, fuzzy inferences, programming paradigms are analyzed through the con...

Propelled by advances in biologically inspired computer vision and artificial intelligence, the past five years have seen significant progress in using deep neural networks to model response patterns of neurons in visual cortex. In this paper, we briefly review this progress and then discuss eight key 'open questions' that we believe will drive research in computational models of sensory system...