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pro vyhledávání: '"Gower, Andrew"'
Recent advances in implicit neural representation (INR)-based video coding have demonstrated its potential to compete with both conventional and other learning-based approaches. With INR methods, a neural network is trained to overfit a video sequenc
Externí odkaz:
http://arxiv.org/abs/2409.07414
Recent work on implicit neural representations (INRs) has evidenced their potential for efficiently representing and encoding conventional video content. In this paper we, for the first time, extend their application to immersive (multi-view) videos,
Externí odkaz:
http://arxiv.org/abs/2402.01596
Learning-based video compression is currently a popular research topic, offering the potential to compete with conventional standard video codecs. In this context, Implicit Neural Representations (INRs) have previously been used to represent and comp
Externí odkaz:
http://arxiv.org/abs/2306.09818
Publikováno v:
In The Journal of Foot and Ankle Surgery 2011 50(4):388-390
Akademický článek
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Autor:
ACM TVX2018, Röggla, Thomas, Li, Jie, Jansen, Jack, Gower, Andrew, Trimby, Martin, Cesar, Pablo
We present a software solution for creating and playing back interactive multi-screen experiences. The system consists of a pre-production application for editing layout and timing of interactive media objects and a live-triggering software for in- s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9903397ee4a3488bde53f91a9d9829ae
Publikováno v:
GM: Midlife & Beyond; Jun2018, Vol. 48 Issue 6, p29-32, 4p
Autor:
Gower, Andrew Kakabadse
Publikováno v:
Industrial & Commercial Training. Mar/Apr85, Vol. 17 Issue 2, p30. 1/3p.