This paper investigates the development of a non-commercial object-based scene description language, for the effective capture of twoand three-dimensional scenes. Design science research techniques were applied to determine the factors involved in effective scene capture. The solution facilitates the description of 2D and 3D environments via interpretation of object relationships; the implement...

In this paper, we present a method that integrates cues from shading, shadow and specular reflections for estimating directional illumination in a textured scene. Texture poses a problem for lighting estimation, since texture edges can be mistaken for changes in illumination condition, and unknown variations in albedo make reflectance model fitting inpractical. Unlike previous works which all a...

There are a growing number of applications, which extensively use the visual media. A key requirement in those applications is efficient access to the stored visual information for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, many scene change detection algorithms have been developed for both sudden and gradual scene change in uncompressed domain. This p...

In this paper, an interactive dynamic background scene generating and editing system is proposed based on improved motion graph. By analyzing the input motions with limited frame length and their metadata, our system could synthesize a large amount of various motions to yield a composing dynamic background scene with unlimited frame length by connecting the motion pieces through smooth transiti...

This paper describes our exploratory work on supplementing our dataset of images extracted from real estate flyers with images from a large general image repository to enhance the breadth of the samples and create a classification model which would perform well for totally unseen, new instances. We selected some images from the Scene UNderstanding (SUN) database which are annotated with the sce...

Evolution and entropy in the organization of urban street patterns Nahid Mohajeri a , Jon R. French b & Michael Batty c a Department of Geography, University College London, London, UK b Environmental Modelling Group, Department of Geography, University College London, London, UK c Centre for Advanced Spatial Analysis (CASA), University College London, London, UK Version of record first publish...

A dissimilarity measure between adjacent pixels of an image is usually determined by the intensity values of these pixels and therefore does not depend on statistics computed over the whole image domain. In this paper, new dissimilarity measures exploiting image statistics are proposed. This is achieved by introducing the notion of dissimilarity function defined for every possible pair of inten...

Conventional video surveillance systems often have several shortcomings. First, target detection can’t be accurate under the light variation environment. Second, multiple target tracking becomes difficult on a crowd scene. Third, it is difficult to partition the tracked targets from a merged image blob. Finally, the tracking efficiency and precision are reduced by the inaccurate foreground dete...

We propose a perceptual fog density prediction model based on natural scene statistics (NSS) and “fog aware” statistical features, which can predict the visibility in a foggy scene from a single image without reference to a corresponding fogless image, without side geographical camera information, without training on human-rated judgments, and without dependency on salient objects such as lane ...

introduction this study determines the effect of prehospital time and advanced trauma life support interventions for trauma patients transported to an our trauma center. materials and methods this study was a retrospective study of trauma victims presenting to a trauma center in central iran by emergency medical services (ems) and hospitalized for more than 24 hours. demographic and injury char...