Publication: Lightweight Dense Residual Network for...
Master data
Title: | Lightweight Dense Residual Network for Video Super-Resolution on Mobile Devices |
Subtitle: | |
Abstract: | The technology described herein relates to a lightweight dense residual network for video super-resolution on mobile devices. A method for implementing a lightweight dense residual network to achieve super-resolution performance may include generating feature maps using a network based on an input of frames at a lower resolution, the network comprised of DenseRes blocks and an additional convolution operation, each DenseRes block comprising multiple layers of convolution operations and rectified linear activation function (ReLU) operations and a 1×1 convolution operation. Said feature maps are upsampled by a pixel shuffle layer in the network and the frames are output at a higher resolution, the higher resolution relative to the lower resolution by an upscaling factor. |
Keywords: | video streaming, mobile device |
Publication type: | Other publication (Authorship) |
Publication date: | 28.12.2023 (Online) |
Published by: |
United States Patent
United States Patent
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to publication |
Title of the series: | - |
Volume number: | - |
Issue: | - |
First publication: | No |
Edition: | - |
Version: | - |
Page: | - |
Total number of pages: | 16 pp. |
Versionen
Keine Version vorhanden |
Publication date: | 28.12.2023 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | - |
Homepage: | - |
Open access |
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Authors
Assignment
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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Research Cluster | No research Research Cluster selected |
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Information about the citation index: Master Journal List
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Peer reviewed |
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Cooperations
Organisation | Address | ||
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bitmovin GmbH
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AT - 9020 Klagenfurt am Wörthersee |
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Publications: | No related publications |
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