background: scenes depicting smoking are among the causes of smoking initiation in youth. the present study was the first in iran to collect some primary information regarding the presence of smoking scenes in movies and propagation of tobacco use. methods: this cross-sectional study was conducted by polling audience about smoking scenes in persian movies on theaters in 2011. data were collecte...

Automatic deduction of semantic labels for audiovisual data requires awareness of context, which in turn requires processing sequences of audiovisual scenes or events. The representation of such sequences is important for semantic analysis tasks. Whereas, conventionally, sequences of specific short-duration event labels, often hand-annotated for learning detectors or classifiers, have been used...

High quality video sequences are required for the evaluation of tone mapping operators and high dynamic range (HDR) displays. We provide scenic and documentary scenes with a dynamic range of up to 18 stops. The scenes are staged using professional film lighting, make-up and set design to enable the evaluation of image and material appearance. To address challenges for HDR-displays and temporal ...

Accurate computation of image motion enables the enhancement of image sequences. Motion computation in scenes having multiple moving objects is performed together with object segmentation by using a unique temporal integration approach. Having accurate motion estimation for image regions, these regions can be enhanced by fusing all successive frames covering the same region. Enhancement include...

We address the problem of recognition of natural motions such as water, smoke and wind-blown vegetation. Such dynamic scenes exhibit characteristic stochastic motions, and we ask whether the scene contents can be recognized using motion information alone. Previous work on this problem has considered only the case where the texture samples have sufficient overlap to allow registration, so that t...

This paper focuses on the representation and view generation of three-dimensional (3-D) scenes. In contrast to existing methods that construct a full 3-D model or those that exploit geometric invariants, our representation consists of dense depth maps at several preselected viewpoints from an image sequence. Furthermore, instead of using multiple calibrated stationary cameras or range scanners,...

This chapter focuses on the problem of obtaining a complete spatio-temporal description of some objects undergoing a non-rigid motion, given several calibrated and synchronized videos of the scene. Using stereovision and scene flow methods in conjunction, the three-dimensional shape and the non-rigid three-dimensional motion field of the objects can be recovered. We review the unrealistic photo...

We present a new variational method for multi-view stereovision and non-rigid threedimensional motion estimation from multiple video sequences. Our method minimizes the prediction error of the estimated shape and motion. Both problems then translate into a generic image registration task. The latter is entrusted to a similarity measure chosen depending on imaging conditions and scene properties...

In this paper, we address the problem of the recovery of a realistic textured model of a scene from a sequence of images, without any prior knowledge either about the parameters of the cameras, or about their motion. We do not require any knowledge of the absolute coordinates of some control points in the scene to achieve this goal. First, using various computer vision tools, we establish corre...