%0 Journal Article %1 Borgo:2012:SAR:2393476.2393481 %A Borgo, R. %A Chen, M. %A Daubney, B. %A Grundy, E. %A Heidemann, G. %A H&\#x00f6;ferlin, B. %A H&\#x00f6;ferlin, M. %A Leitte, H. %A Weiskopf, D. %A Xie, X. %C New York, NY, USA %D 2012 %I John Wiley & Sons, Inc. %J Comp. Graph. Forum %K ComputerVision data_analysis evaluation motion_analysis visualization %N 8 %P 2450--2477 %R 10.1111/j.1467-8659.2012.03158.x %T State of the Art Report on Video-Based Graphics and Video Visualization %U http://dx.doi.org/10.1111/j.1467-8659.2012.03158.x %V 31 %X <i>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.</i> &copy; 2012 Wiley Periodicals, Inc.

@article{Borgo:2012:SAR:2393476.2393481, abstract = {<i>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.</i> &copy; 2012 Wiley Periodicals, Inc.}, acmid = {2393481}, added-at = {2013-04-04T18:31:19.000+0200}, address = {New York, NY, USA}, author = {Borgo, R. and Chen, M. and Daubney, B. and Grundy, E. and Heidemann, G. and H\&\#x00f6;ferlin, B. and H\&\#x00f6;ferlin, M. and Leitte, H. and Weiskopf, D. and Xie, X.}, biburl = {https://www.bibsonomy.org/bibtex/2c0e96c627f1da98df4767c1f9574f191/alex_ruff}, description = {State of the Art Report on Video-Based Graphics and Video Visualization}, doi = {10.1111/j.1467-8659.2012.03158.x}, interhash = {0389c03a620f83f93efc853fa41f02a8}, intrahash = {c0e96c627f1da98df4767c1f9574f191}, issn = {0167-7055}, issue_date = {December 2012}, journal = {Comp. Graph. Forum}, keywords = {ComputerVision data_analysis evaluation motion_analysis visualization}, month = dec, number = 8, numpages = {28}, pages = {2450--2477}, publisher = {John Wiley \& Sons, Inc.}, timestamp = {2013-04-04T18:31:19.000+0200}, title = {State of the Art Report on Video-Based Graphics and Video Visualization}, url = {http://dx.doi.org/10.1111/j.1467-8659.2012.03158.x}, volume = 31, year = 2012 }