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Information-based adaptive fast-forward for visual surveillance

✍ Scribed by Benjamin Höferlin; Markus Höferlin; Daniel Weiskopf; Gunther Heidemann


Publisher
Springer US
Year
2010
Tongue
English
Weight
958 KB
Volume
55
Category
Article
ISSN
0942-4962

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A method for compressing large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forward-adaptive modeling and backwardadaptive context based compression with re-initialization of statistics. The method improve