Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sarah Andris"'
Autor:
Eva Schaeffer, Jan-Hinrich Busch, Benjamin Roeben, Sascha Otterbein, Pavel Saraykin, Edyta Leks, Inga Liepelt-Scarfone, Matthis Synofzik, Morad Elshehabi, Walter Maetzler, Clint Hansen, Sarah Andris, Daniela Berg
Publikováno v:
Frontiers in Neurology, Vol 10 (2019)
Introduction: Impairment of dual-tasking, as an attention-based primary cognitive dysfunction, is frequently observed in Parkinson's Disease (PD). The Training-PD study investigated the efficiency of exergaming, as a novel cognitive-motor training ap
Externí odkaz:
https://doaj.org/article/100629597c5549efbc0e1ff9d2f13de1
Autor:
Pascal Peter, Sarah Andris, Rahul Mohideen Kaja Mohideen, Sebastian Hoffmann, Joachim Weickert
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030755485
SSVM
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
SSVM
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
Compression methods based on inpainting are an evolving alternative to classical transform-based codecs for still images. Attempts to apply these ideas to video compression are rare, since reaching real-time performance is very challenging. Therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05212cca4196e94ac872b3e956a81408
https://doi.org/10.1007/978-3-030-75549-2_34
https://doi.org/10.1007/978-3-030-75549-2_34
Publikováno v:
PCS
2021 Picture Coding Symposium (PCS)
2021 Picture Coding Symposium (PCS)
Inpainting-based image compression is emerging as a promising competitor to transform-based compression techniques. Its key idea is to reconstruct image information from only few known regions through inpainting. Specific partial differential equatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29f89e11b2edaa81202ed31b8ee95149
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030223670
SSVM
Scale Space and Variational Methods in Computer Vision-7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
SSVM
Scale Space and Variational Methods in Computer Vision-7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Scale Space and Variational Methods in Computer Vision
Inpainting with partial differential equations (PDEs) has been used successfully to reconstruct missing parts of an image, even for sparse data. On the other hand, sparse data interpolation is a rich field of its own with different methods such as sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d3e0b6c50c43f074b84f022c95d3e93
https://doi.org/10.1007/978-3-030-22368-7_6
https://doi.org/10.1007/978-3-030-22368-7_6
Publikováno v:
PCS
In image compression, codecs that rely on interpolation with partial differential equations (PDEs) are becoming increasingly popular. However, there have not been many attempts to transfer this concept to video compression. Since real-time performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d8f315bd44d5a8d6706d85921d4a590
https://doi.org/10.1109/pcs.2016.7906362
https://doi.org/10.1109/pcs.2016.7906362