Coview'18: The 1st workshop and challenge on comprehensive video understanding in the wild
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sohn, Kwanghoon | - |
dc.contributor.author | Lim, Jongwoo | - |
dc.contributor.author | Yang, Ming-Hsuan | - |
dc.contributor.author | Hsu, Jison | - |
dc.contributor.author | Byun, Hyeran | - |
dc.contributor.author | Lin, Stephen | - |
dc.contributor.author | Kim, Euntai | - |
dc.contributor.author | Kim, Seungryong | - |
dc.date.accessioned | 2022-07-11T09:28:41Z | - |
dc.date.available | 2022-07-11T09:28:41Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2018-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/149309 | - |
dc.description.abstract | The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, dubbed CoVieW'18, is held in Seoul, Korea on October 22, 2018, in conjuction with ACM Multimedia 2018. The workshop aims to solve the joint and comprehensive understanding problem in untrimmed videos with a particular emphasis on joint action and scene recognition. The workshop encourages researchers to participate in joint action and scene recognition challenge in untrimmed videos and to report their results. The workshop program includes 1 keynote speech, 2 invited speakers, 6 regular and challenge papers. The developments made in the workshop will deliver a step change in a variety of video applications. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Coview'18: The 1st workshop and challenge on comprehensive video understanding in the wild | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lim, Jongwoo | - |
dc.identifier.doi | 10.1145/3240508.3243720 | - |
dc.identifier.scopusid | 2-s2.0-85058216817 | - |
dc.identifier.bibliographicCitation | MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, pp.2113 - 2115 | - |
dc.relation.isPartOf | MM 2018 - Proceedings of the 2018 ACM Multimedia Conference | - |
dc.citation.title | MM 2018 - Proceedings of the 2018 ACM Multimedia Conference | - |
dc.citation.startPage | 2113 | - |
dc.citation.endPage | 2115 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Action recognition | - |
dc.subject.keywordPlus | Joint actions | - |
dc.subject.keywordPlus | Multitask learning | - |
dc.subject.keywordPlus | Scene recognition | - |
dc.subject.keywordPlus | Seoul , Korea | - |
dc.subject.keywordPlus | Step changes | - |
dc.subject.keywordPlus | Video applications | - |
dc.subject.keywordPlus | Video understanding | - |
dc.subject.keywordAuthor | Action Recognition | - |
dc.subject.keywordAuthor | Comprehensive Video Understanding | - |
dc.subject.keywordAuthor | Multi-task Learning | - |
dc.subject.keywordAuthor | Scene Recognition | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/3240508.3243720 | - |
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