DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yeo, Hyun Ho | ko |
dc.contributor.author | Chong, Chan Ju | ko |
dc.contributor.author | Jung, Young Mok | ko |
dc.contributor.author | Ye, Jun Cheol | ko |
dc.contributor.author | Han, Dong Su | ko |
dc.date.accessioned | 2020-09-22T06:55:40Z | - |
dc.date.available | 2020-09-22T06:55:40Z | - |
dc.date.created | 2020-09-22 | - |
dc.date.issued | 2020-09-24 | - |
dc.identifier.citation | 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020 | - |
dc.identifier.uri | http://hdl.handle.net/10203/276389 | - |
dc.description.abstract | The demand for mobile video streaming has experienced tremendous growth over the last decade. However, existing methods of video delivery fall short of delivering high-quality video. Recent advances in neural super-resolution have opened up the possibility of enhancing video quality by leveraging client-side computation. Unfortunately, mobile devices cannot benefit from this because it is too expensive in computation and power-hungry. To overcome the limitation, we present NEMO, a system that enables real-time video super-resolution on mobile devices. NEMO applies neural super-resolution to a few select frames and transfers the outputs to benefit the remaining frames. The frames to which super-resolution is applied are carefully chosen to maximize the overall quality gains. NEMO leverages fine-grained dependencies using information from the video codec and strives to provide guarantees in the quality degradation compared to per-frame super-resolution. Our evaluation using a full system implementation on Android shows NEMO improves the overall processing throughput by x11.5, reduces energy consumption by 88.6%, and maintains device temperatures at acceptable levels compared to per-frame super-resolution, while ensuring high video quality. Overall, this leads to a 31.2% improvement in quality of experience for mobile users. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | NEMO: enabling neural-enhanced video streaming on commodity mobile devices | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020 | - |
dc.identifier.conferencecountry | UK | - |
dc.identifier.conferencelocation | London | - |
dc.identifier.doi | 10.1145/3372224.3419185 | - |
dc.contributor.localauthor | Han, Dong Su | - |
dc.contributor.nonIdAuthor | Chong, Chan Ju | - |
dc.contributor.nonIdAuthor | Ye, Jun Cheol | - |
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