We describe an approach to partition a video stream into structure regions that are temporally encoded and disjoint from texture regions that are synthesized so as to preserve the statistical properties of the original data stream. Structures encode regions of an image that can be put into correspondence in different images of the same scene, and are encoded via a dictionary that takes into account spatial and temporal regularities. Textures are synthesized in a manner that preserves perceptual similarity.
Conference Committee Involvement (7)
Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II
22 April 2024 | National Harbor, Maryland, United States
Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications
1 May 2023 | Orlando, Florida, United States
Geospatial Informatics, and Motion Imagery Analytics VIII
16 April 2018 | Orlando, FL, United States
Geospatial Informatics, Motion Imagery, and Network Analytics VII
12 April 2017 | Anaheim, CA, United States
Geospatial Informatics, Fusion, and Motion Video Analytics VI
19 April 2016 | Baltimore, MD, United States
Geospatial Informatics, Fusion, and Motion Video Analytics V
20 April 2015 | Baltimore, MD, United States
Computer Image Analysis in the Study of Art
28 January 2008 | San Jose, California, United States
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