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{{Event | {{Event | ||
|Acronym=ICMR 2018 | |Acronym=ICMR 2018 | ||
| − | |Title=ACM International Conference on Multimedia Retrieval | + | |Title=ACM International Conference on Multimedia Retrieval 2018 |
|Ordinal=8 | |Ordinal=8 | ||
|In Event Series=Event Series:ICMR | |In Event Series=Event Series:ICMR | ||
|Single Day Event=no | |Single Day Event=no | ||
| − | |Start Date=2018/06/ | + | |Start Date=2018/06/11 |
| − | |End Date=2018/06/ | + | |End Date=2018/06/14 |
| − | | | + | |Event Status=as scheduled |
| − | | | + | |Event Mode=on site |
| + | |Venue=横浜情報文化センター | ||
|City=Yokohama | |City=Yokohama | ||
| + | |Region=Kanagawa | ||
|Country=Country:JP | |Country=Country:JP | ||
| + | |Academic Field=Machine Learning; Multimedia Retrieval | ||
| + | |Official Website=http://www.sigmm.org/archive/ICMR/icmr18/index-2.html | ||
| + | |Type=Conference | ||
|has Proceedings Link=dl.acm.org/doi/proceedings/10.1145/3206025 | |has Proceedings Link=dl.acm.org/doi/proceedings/10.1145/3206025 | ||
| − | |has Proceedings DOI=10.1145/3206025 | + | |has Proceedings DOI=https://doi.org/10.1145/3206025 |
|pageCreator=User:Curator 48 | |pageCreator=User:Curator 48 | ||
|pageEditor=User:Curator 89 | |pageEditor=User:Curator 89 | ||
|contributionType=1 | |contributionType=1 | ||
| − | |||
| − | |||
}} | }} | ||
{{Event Deadline}} | {{Event Deadline}} | ||
| + | {{Organizer | ||
| + | |Contributor Type=organization | ||
| + | |Organization=Special Interest Group on Multimedia Systems, Association for Computing Machinery | ||
| + | }} | ||
{{Event Metric | {{Event Metric | ||
|Number Of Submitted Papers=136 | |Number Of Submitted Papers=136 | ||
Latest revision as of 11:32, 10 October 2023
Deadlines
Metrics
Submitted Papers
136
Accepted Papers
21
Accepted Short Papers
23
Venue
横浜情報文化センター, Yokohama, Kanagawa, Japan
ICMR 2018 is a premier conference to display scientific achievements and innovative industrial products in the field of multimedia retrieval. We are seeking original high quality submissions addressing innovative research in the field. Contributions addressing the challenges of large-scale search and user behavior analysis are especially welcome.
