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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Similar interior coordination image retrieval with multi-view features
| Title: | Similar interior coordination image retrieval with multi-view features |
| Authors: | Togo, Ren Browse this author | | Honma, Yuki Browse this author | | Abe, Maiku Browse this author | | Ogawa, Takahiro Browse this author →KAKEN DB | | Haseyama, Miki Browse this author |
| Keywords: | Interior coordination | | Deep learning | | Similar image retrieval | | Multi-view features |
| Issue Date: | Dec-2022 |
| Publisher: | Springer |
| Journal Title: | International journal of multimedia information retrieval |
| Volume: | 11 |
| Issue: | 4 |
| Start Page: | 731 |
| End Page: | 740 |
| Publisher DOI: | 10.1007/s13735-022-00247-4 |
| Abstract: | This paper presents a novel similar image retrieval method for interior coordination. Interior coordination is very familiar; however, it is still an abstract and difficult concept. Even if we are involved in coordination every day, it does not mean we can become professional coordinators. By realizing the retrieval that can provide similar interior coordination images from a query room image, inspiring users' ideas for interior coordination becomes feasible. In the proposed method, we extract image features specialized for interior coordination and realize similar interior coordination image retrieval. We employ multi-view features: object-based, color-based, and semantic-based features, in the feature extraction phase. The extracted features are used to calculate similarity between the query image and the database images for the retrieval. We conducted experiments using a sophisticated real-world interior coordination image dataset. Furthermore, we qualitatively and quantitatively evaluated the effectiveness of the proposed method. |
| Rights: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s13735-022-00247-4 |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/90318 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 藤後 廉
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