State of the Art Report on Video-Based Graphics and Video Visualization
Autor(en): | Borgo, R. Chen, M. Daubney, B. Grundy, E. Heidemann, G. Hoeferlin, B. Hoeferlin, M. Leitte, H. Weiskopf, D. Xie, X. |
Stichwörter: | ABSTRACTION; COLOR; Computer Science; Computer Science, Software Engineering; IMAGE; MOTION; PERFORMANCE; SEGMENTATION; SHAPE; STEREO; TEXTURE; TRACKING; video abstraction; video processing; video retargeting; video summarization; video visualization; video-based graphics; video-based modelling | Erscheinungsdatum: | 2012 | Herausgeber: | WILEY | Journal: | COMPUTER GRAPHICS FORUM | Volumen: | 31 | Ausgabe: | 8 | Startseite: | 2450 | Seitenende: | 2477 | Zusammenfassung: | 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. |
ISSN: | 01677055 | DOI: | 10.1111/j.1467-8659.2012.03158.x |
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geprüft am 18.05.2024