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

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 artisti...

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Bibliographic Details
Published in:Computer graphics forum Vol. 31; no. 8; pp. 2450 - 2477
Main Authors: Borgo, R., Chen, M., Daubney, B., Grundy, E., Heidemann, G., Höferlin, B., Höferlin, M., Leitte, H., Weiskopf, D., Xie, X.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.12.2012
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ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary: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 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. 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 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 modeling and rendering pipelines for graphics and visualization.
Bibliography:istex:AFD41E2B2691A140766709E705D56026B0594560
ark:/67375/WNG-3HL0LDNM-K
ArticleID:CGF3158
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2012.03158.x