State of the Art Report on Video-Based Graphics and Video Visualization

被引:43
作者
Borgo, R. [1 ]
Chen, M. [2 ]
Daubney, B. [1 ]
Grundy, E. [1 ]
Heidemann, G. [3 ]
Hoeferlin, B. [4 ]
Hoeferlin, M. [4 ]
Leitte, H. [5 ]
Weiskopf, D. [4 ]
Xie, X. [1 ]
机构
[1] Swansea Univ, Swansea, W Glam, Wales
[2] Univ Oxford, Oxford OX1 2JD, England
[3] Univ Osnabruck, D-4500 Osnabruck, Germany
[4] Univ Stuttgart, D-7000 Stuttgart, Germany
[5] Heidelberg Univ, D-6900 Heidelberg, Germany
基金
英国工程与自然科学研究理事会;
关键词
video-based graphics; video visualization; video processing; video summarization; video abstraction; video retargeting; video-based modelling; IMAGE; MOTION; TRACKING; SHAPE; PERFORMANCE; TEXTURE; STEREO; COLOR; SEGMENTATION; ABSTRACTION;
D O I
10.1111/j.1467-8659.2012.03158.x
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In 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.
引用
收藏
页码:2450 / 2477
页数:28
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