DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, SiYoung | ko |
dc.contributor.author | Acer, Utku Gunay | ko |
dc.contributor.author | Min, Chulhong | ko |
dc.contributor.author | Kawsar, Fahim | ko |
dc.date.accessioned | 2023-09-11T07:00:30Z | - |
dc.date.available | 2023-09-11T07:00:30Z | - |
dc.date.created | 2023-09-11 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.citation | 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021 | - |
dc.identifier.uri | http://hdl.handle.net/10203/312408 | - |
dc.description.abstract | Advancement in hardware capability has opened up the possibility of performing ML inference tasks at the edge using a large volume of sensory data generated from IoT devices such as cameras. As cameras become more pervasive, edge systems need to process streams from multiple sources with overlapping fields-of-view. In this position paper, we describe a collaborative sensing mechanism at the edge for such cases. We introduce a View Mapping Database (DB) that maps regions in a camera's field of view to regions in other cameras' view. We analyze characteristics of 5 video streams that capture an intersection from multiple angles, prototype a View Mapping DB, and present our preliminary results. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Deploying Collaborative Machine Learning Systems in Edge with Multiple Cameras | - |
dc.type | Conference | - |
dc.identifier.wosid | 000833359400023 | - |
dc.identifier.scopusid | 2-s2.0-85123940146 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021 | - |
dc.identifier.conferencecountry | JA | - |
dc.identifier.conferencelocation | Tokyo | - |
dc.identifier.doi | 10.23919/ICMU50196.2021.9638879 | - |
dc.contributor.nonIdAuthor | Acer, Utku Gunay | - |
dc.contributor.nonIdAuthor | Min, Chulhong | - |
dc.contributor.nonIdAuthor | Kawsar, Fahim | - |
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