Author:
Borgo R.,Chen M.,Daubney B.,Grundy E.,Heidemann G.,Höferlin B.,Höferlin M.,Leitte H.,Weiskopf D.,Xie X.
Abstract
AbstractIn recent years, a collection of new techniques which deal with video as input data, emerged in computer graphics and visualization. In this survey, we report the state of the art in video‐based graphics and video visualization. We provide a review of techniques for making photo‐realistic or artistic computer‐generated imagery from videos, as well as methods for creating summary and/or abstract visual representations to reveal important features and events in videos. We provide a new taxonomy to categorize the concepts and techniques in this newly emerged body of knowledge. To support this review, we also give a concise overview of the major advances in automated video analysis, as some techniques in this field (e.g. feature extraction, detection, tracking and so on) have been featured in video‐based modelling and rendering pipelines for graphics and visualization.
Reference190 articles.
1. Split Aperture Imaging for High Dynamic Range
2. Action synopsis
3. Face recognition with local binary patterns;Ahonen T.;European Conference on Computer Vision,2004
4. AkersD. LosassoF. KlingnerJ. AgrawalaM. RickJ. HanrahanP.:Conveying shape and features with image‐based relighting. InVIS ’03: Proceedings of the 14th IEEE Visualization 2003( Washington DC USA 2003) IEEE Computer Society p.46.
5. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
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