MPEG-4 is an object-oriented video compression standard which allows content-based representation of a video sequence. This requires a decomposition of scenes into semantic video objects (VOs). Many algorithms had been developed to extract VOs with accurate boundaries, however, the issue of multiple objects is less addressed. We proposed to use a simple clustering method based on distance trans...

In this paper we propose a method for the detection of dialogue scenes within movies. This task is of particular interest given the special semantic role played by dialogue based scenes in the most part of movies. The proposed approach firstly operates the segmentation of the video footage in shots, then each shot is classified as dialogue or not-dialogue by a Multi-Expert System (MES) and, fin...

Time-lapse photography, in which images are captured at a lower rate than that at which they will ultimately be played back. Classic time-lapse photography subjects are scenes. Today, most of those image sequences are collected by the thousands of Internet cameras. They typically provide outdoor views of cities, construction sites, traffic, the weather, or natural phenomena. However, Time-lapse...

In a visual driver-assistance system, road-sign detection and tracking is one of the major tasks. This study describes an approach to detecting and tracking road signs appearing in complex traffic scenes. In the detection phase, two neural networks are developed to extract color and shape features of traffic signs from the input scenes images. Traffic signs are then located in the images based ...

Understanding complex, dynamic scenes of real-world activities from low-level sensor data is of central importance for intelligent systems. The main difficulty lies in the fact that complex scenes are best described in high-level, logical formalisms, while sensor data usually consists of many low-level features. We first propose a method to obtain a logical representation of real-world, dynamic...

A scene boundary detection method is presented, which analyzes both aural and visual information sources and accounts for their inter-relations and coincidence to semantically identify video scenes. Audio analysis focuses on the segmentation of the audio source into three types of semantic primitives, i.e. silence, speech and music. Further processing on speech segments aims at locating speaker...

although there are many excellent ways presenting the principle of the classical calculus, the novel presentations probably leads most naturally to the development of the non-newtonian calculus. the important point to note is that the non-newtonian calculus is a self-contained system independent of any other system of calculus. since this self-contained work is intended for a wide audience, inc...

Today, the cutting edge of computer vision research greatly depends on availability large datasets, which are critical for effectively training and testing new methods. Manually annotating visual data, however, is not only a labor-intensive process but also prone to errors. In this study, we present NOVA, versatile framework create realistic-looking 3D rendered worlds containing procedurally ge...