https://scholars.lib.ntu.edu.tw/handle/123456789/581324
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lu K.-H | en_US |
dc.contributor.author | Chang K.-Y | en_US |
dc.contributor.author | CHU-SONG CHEN | en_US |
dc.date.accessioned | 2021-09-02T00:08:20Z | - |
dc.date.available | 2021-09-02T00:08:20Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019185105&doi=10.1109%2fGlobalSIP.2016.7905838&partnerID=40&md5=961ee97bc08e5437164cfcd5e812f253 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/581324 | - |
dc.description.abstract | Aesthetic quality estimation of an image is a challenging task. In this paper, we introduce a deep CNN approach to tackle this problem. We adopt the sate-of-the-art object-recognition CNN as our baseline model, and adapt it for handling several high-level attributes. The networks capable of dealing with these high-level concepts are then fused by a learned logical connector for predicting the aesthetic rating. Results on the standard benchmark shows the effectiveness of our approach. ? 2016 IEEE. | - |
dc.relation.ispartof | 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings | - |
dc.subject | Object recognition; Aesthetic qualities; Baseline models; Deep CNN; Image Aesthetics; OWA operators; Semantic aggregation; Semantics | - |
dc.title | Image aesthetic assessment via deep semantic aggregation | en_US |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/GlobalSIP.2016.7905838 | - |
dc.identifier.scopus | 2-s2.0-85019185105 | - |
dc.relation.pages | 232-236 | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.cerifentitytype | Publications | - |
item.openairetype | conference paper | - |
item.grantfulltext | none | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.orcid | 0000-0002-2959-2471 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
顯示於: | 資訊工程學系 |
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