A scene can be defined as one of the subdivisions of a play in which the setting is fixed, or when it presents continuous action in one place. We propose a novel two-pass algorithm for scene boundary detection which utilizes the motion content, shot length and color properties of shots as the features. In our approach, shots are first clustered by computing Backward Shot Coherence (BSC); a shot...

The Visual Internet of Things is an important part of information technology. It is proposed to strength the system with atomic visual label by taking visual camera as the sensor. Unfortunately, the traditional color camera is greatly influenced by the condition of illumination, and suffers from the low detection accuracy. To solve that problem, we build a new Visual Internet of Things with dep...

This work presents a framework for image classification based on region information. The main application of this framework is for automatic color correction of real-scene images. Class specific color correction is already implemented in some systems, but image classification usually relies on global image features only. Our region-based approach shows a significant improvement over previously ...

Objective: Most previous retrospective studies failed to show a consistent association between pre-hospital time intervals and mortality in trauma patients, bringing the recommendation of “transport fast to increase survival” under question. The aim of this study was to evaluate the association of response time, scene time, and transport time with 24-hour in-hospital mortality....

Abstract Automated surveillance systems have drawn much attention recently. For a surveillance system to operate and obtain credible sensing of a scenario, visual analysis is the most critical aspect. With an increasing expectation of acceptable outcomes from surveillance systems, light weight but fast visual analyses for producing authentic results are being greatly emphasized. In this paper, ...

This paper describes a database collecting natural color images, called the Natural Image Database, and shows how it is used for illuminant estimation problems. First, we present significant features of the database. This database is not only a collection of color images of natural scenes, but also includes scene illuminant spectra and camera calibration data. Because these data sets are availa...

This study explored two factors that might have an impact on how participants perceive distance between objects in a visual scene: perceptual grouping and presentation mode (2D versus 3D). More specifically, we examined how these factors affect language production, asking if they cause speakers to include a redundant color attribute in their descriptions of objects. We expected speakers to use ...

We present a scene acquisition system which allows for fast and simple acquisition of arbitrarily large 3D environments. We propose a small device which acquires and processes frames consisting of depth and color information at interactive rates. This allows the operator to control the acquisition process on the fly. However, no user input or prior knowledge of the scene are required. In each s...

Color is a useful feature for machine vision tasks. However, its effectiveness is often limited by the fact that the measured pixel values in a scene are influenced by both object surface reflectance properties and incident illumination. Color constancy algorithms attempt to compute color features which are invariant of the incident illumination by estimating the parameters of the global scene ...

Computational color constancy aims to estimate the actual color in an acquired scene disregarding its illuminant. Several strategies have been proposed in the last few years. In general these require some information about the camera being used, or exploit the statistical properties of the expected illuminants and surface reflectances. From a computational perspective, once the illuminant has b...