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Diminishing unwanted objects based on object detection using deep learning and image inpainting
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Chanran | - |
| dc.contributor.author | Lee, Younkyoung | - |
| dc.contributor.author | Park, Jong-Il | - |
| dc.contributor.author | Lee, Jaeha | - |
| dc.date.accessioned | 2022-07-11T22:09:49Z | - |
| dc.date.available | 2022-07-11T22:09:49Z | - |
| dc.date.created | 2021-05-13 | - |
| dc.date.issued | 2018-05 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150076 | - |
| dc.description.abstract | Photography is not done in perfect circumstances. Especially, it is difficult to shoot the only desired object in many circumstances. This paper proposes a method to diminish unwanted objects in photographs. we propose a basic design method of diminished reality using deep learning. Proposed method composed of object detection using deep learning and exemplar-based image inpainting. Previous methods should specify an undesired range before or during operation. Our method has the advantage that it is possible to diminish with the object label to diminish without having to select the area to diminish. The experimental results show naturally diminished scene of the proposed method. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Diminishing unwanted objects based on object detection using deep learning and image inpainting | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Park, Jong-Il | - |
| dc.identifier.doi | 10.1109/IWAIT.2018.8369785 | - |
| dc.identifier.scopusid | 2-s2.0-85048765450 | - |
| dc.identifier.bibliographicCitation | 2018 International Workshop on Advanced Image Technology, IWAIT 2018, pp.1 - 3 | - |
| dc.relation.isPartOf | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 | - |
| dc.citation.title | 2018 International Workshop on Advanced Image Technology, IWAIT 2018 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 3 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Object detection | - |
| dc.subject.keywordPlus | Object recognition | - |
| dc.subject.keywordPlus | Photography | - |
| dc.subject.keywordPlus | Basic designs | - |
| dc.subject.keywordPlus | Diminished Reality | - |
| dc.subject.keywordPlus | Exemplar-based | - |
| dc.subject.keywordPlus | Image Inpainting | - |
| dc.subject.keywordPlus | Integrated systems | - |
| dc.subject.keywordPlus | Objects-based | - |
| dc.subject.keywordPlus | Deep learning | - |
| dc.subject.keywordAuthor | Deep Learning | - |
| dc.subject.keywordAuthor | Diminished Reality | - |
| dc.subject.keywordAuthor | Image Inpainting | - |
| dc.subject.keywordAuthor | Integrated System | - |
| dc.subject.keywordAuthor | Object Detection | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/8369785 | - |
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