{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T11:30:13Z","timestamp":1769859013502,"version":"3.49.0"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,2,12]],"date-time":"2018-02-12T00:00:00Z","timestamp":1518393600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 105-2221-E-006 -066 -MY3"],"award-info":[{"award-number":["MOST 105-2221-E-006 -066 -MY3"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s11042-018-5747-5","type":"journal-article","created":{"date-parts":[[2018,2,12]],"date-time":"2018-02-12T04:16:07Z","timestamp":1518408967000},"page":"2645-2665","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Furniture style compatibility recommendation with cross-class triplet loss"],"prefix":"10.1007","volume":"78","author":[{"given":"Tse-Yu","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Zhu","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1917-2155","authenticated-orcid":false,"given":"Min-Chun","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen-Huang","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,2,12]]},"reference":[{"key":"5747_CR1","unstructured":"Balntas V, Johns E, Tang L, Mikolajczyk K (2016) PN-Net: conjoined triple deep network for learning local image descriptors, arXiv: 1601.05030"},{"key":"5747_CR2","doi-asserted-by":"crossref","unstructured":"Bansal A, Russell B, Gupta A (2016) Marr revisited: 2D-3D alignment via surface normal prediction. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5965\u20135974","DOI":"10.1109\/CVPR.2016.642"},{"issue":"4","key":"5747_CR3","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1145\/2766959","volume":"34","author":"S Bell","year":"2015","unstructured":"Bell S, Bala K (2015) Learning visual similarity for product design with convolutional neural networks. ACM Trans Graph (TOG) 34(4):98","journal-title":"ACM Trans Graph (TOG)"},{"key":"5747_CR4","unstructured":"Chang AX, Funkhouser T, Guibas L, Hanrahan P, Huang Q, Li Z, Savarese S, Savva M, Song S, Su H et al (2015) ShapeNet: an information-rich 3D model repository, arXiv: 1512.03012"},{"key":"5747_CR5","doi-asserted-by":"crossref","unstructured":"Chang Y-J, Lo H-Y, Huang M-S, Hu M-C (2015) Representative photo selection for restaurants in food blogs. In: Proceedings of the IEEE international conference on multimedia & expo workshops, pp 1\u20136","DOI":"10.1109\/ICMEW.2015.7169814"},{"issue":"6","key":"5747_CR6","first-page":"232","volume":"34","author":"K Chen","year":"2015","unstructured":"Chen K, Xu K, Yu Y, Wang T-Y, Hu S-M (2015) Magic decorator: automatic material suggestion for indoor digital scenes. ACM Trans Graph (TOG) 34(6):232","journal-title":"ACM Trans Graph (TOG)"},{"key":"5747_CR7","doi-asserted-by":"crossref","unstructured":"Chen X, Li J, Li Q, Gao B, Zou D, Zhao Q (2015) Image2scene: transforming style of 3D room. In: Proceedings of ACM multimedia conference","DOI":"10.1145\/2733373.2806274"},{"key":"5747_CR8","unstructured":"Cheng Z, Shen J, Mei T (2014) Just-for-me: an adaptive personalization system for location-aware social music recommendation. In: Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval, pp 1267\u20131268"},{"key":"5747_CR9","unstructured":"Dev K, Kim K, Villar N, Lau M (2016) Improving style similarity metrics of 3D shapes. In: Proceedings of the 42nd graphics interface conference. Canadian information processing society, pp 175\u2013182"},{"key":"5747_CR10","doi-asserted-by":"crossref","DOI":"10.5040\/9781472545244","volume-title":"What is qalitative interviewing?","author":"R Edwards","year":"2013","unstructured":"Edwards R, Holland J (2013) What is qalitative interviewing? Bloomsbury Publishing, London"},{"issue":"6","key":"5747_CR11","first-page":"135","volume":"31","author":"M Fisher","year":"2016","unstructured":"Fisher M, Ritchie D, Savva M, Funkhouser T, Hanrahan P (2016) Example-based synthesis of 3D object arrangements. ACM Trans Graph (TOG) 31(6):135","journal-title":"ACM Trans Graph (TOG)"},{"key":"5747_CR12","doi-asserted-by":"crossref","unstructured":"Fukano K, Mochizuki Y, Iizuka S (2016) Room reconstruction from a single spherical image by higher-order energy minimization. In: Proceedings of the IEEE international conference on pattern recognition","DOI":"10.1109\/ICPR.2016.7899892"},{"issue":"4","key":"5747_CR13","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1145\/2601097.2601131","volume":"33","author":"E Garces","year":"2014","unstructured":"Garces E, Agarwala A, Gutierrez D, Hertzmann A (2014) A similarity measure for illustration style. ACM Trans Graph (TOG) 33(4):93","journal-title":"ACM Trans Graph (TOG)"},{"issue":"11","key":"5747_CR14","doi-asserted-by":"publisher","first-page":"13067","DOI":"10.1007\/s11042-016-3702-x","volume":"76","author":"E Garces","year":"2017","unstructured":"Garces E, Agarwala A, Hertzmann A, Gutierrez D (2017) Style-based exploration of illustration datasets. Multimedia Tools and Applications 76(11):13067\u201313086","journal-title":"Multimedia Tools and Applications"},{"key":"5747_CR15","unstructured":"Guo R, Zou C, Hoiem D (2015) Predicting Complete 3D Models of Indoor Scenes, arXiv: 1504.02437"},{"issue":"12","key":"5747_CR16","doi-asserted-by":"publisher","first-page":"5526","DOI":"10.1109\/TIP.2016.2609814","volume":"25","author":"H Guo","year":"2016","unstructured":"Guo H, Wang J, Gao Y, Li J, Lu H (2016) Multi-view 3D object retrieval with deep embedding network. IEEE Trans Image Process 25(12):5526\u20135537","journal-title":"IEEE Trans Image Process"},{"key":"5747_CR17","doi-asserted-by":"crossref","unstructured":"Hoffer E, Ailon N (2015) Deep metric learning using triplet network. In: International workshop on similarity-based pattern recognition. Springer, Berlin, pp 84\u201392","DOI":"10.1007\/978-3-319-24261-3_7"},{"key":"5747_CR18","unstructured":"Hu M-C, Pan T-Y, Lo L-Y, Lo H-Y (2017) Framework and method for creating virtual model of three-dimensional space, Google Patents US Patent 9547943. https:\/\/www.google.com\/patents\/US9547943"},{"issue":"6","key":"5747_CR19","first-page":"190","volume":"32","author":"Q-X Huang","year":"2013","unstructured":"Huang Q-X, Su H, Guibas L (2013) Fine-grained semi-supervised labeling of large shape collections. ACM Trans Graph (TOG) 32(6):190","journal-title":"ACM Trans Graph (TOG)"},{"key":"5747_CR20","unstructured":"ImageNet, http:\/\/www.image-net.org\/"},{"issue":"5","key":"5747_CR21","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1111\/cgf.12977","volume":"35","author":"L Isaak","year":"2016","unstructured":"Isaak L, Anne G, Leif K (2016) Identifying style of 3D shapes using deep metric learning. Comput Graphics Forum 35(5):207\u2013215","journal-title":"Comput Graphics Forum"},{"key":"5747_CR22","doi-asserted-by":"crossref","unstructured":"Izadinia H, Shan Q, Seitz SM (2017) IM2CAD. In: Proceedings of the IEEE international conference on pattern recognition","DOI":"10.1109\/CVPR.2017.260"},{"key":"5747_CR23","doi-asserted-by":"crossref","unstructured":"Jia Y et al (2014) Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM international conference on multimedia, pp 675\u2013678","DOI":"10.1145\/2647868.2654889"},{"issue":"4","key":"5747_CR24","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1561\/2200000019","volume":"5","author":"B Kulis","year":"2013","unstructured":"Kulis B et al (2013) Metric learning: a survey. Foundations and Trends\u00ae in Machine Learning 5(4):287\u2013364","journal-title":"Foundations and Trends\u00ae in Machine Learning"},{"issue":"11","key":"5747_CR25","doi-asserted-by":"publisher","first-page":"1989","DOI":"10.1109\/TMM.2015.2477035","volume":"17","author":"Z Li","year":"2015","unstructured":"Li Z, Tang J (2015) Weakly supervised deep metric learning for Community-Contributed image retrieval. IEEE Trans Multimedia 17(11):1989\u20131999","journal-title":"IEEE Trans Multimedia"},{"issue":"1","key":"5747_CR26","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/TIP.2016.2624140","volume":"26","author":"Z Li","year":"2017","unstructured":"Li Z, Tang J (2017) Weakly supervised deep matrix factorization for social image understanding. IEEE Trans Image Process 26(1):276\u2013288","journal-title":"IEEE Trans Image Process"},{"issue":"10","key":"5747_CR27","doi-asserted-by":"publisher","first-page":"2085","DOI":"10.1109\/TPAMI.2015.2400461","volume":"37","author":"Z Li","year":"2015","unstructured":"Li Z, Liu J, Tang J, Lu H (2015) Robust structured subspace learning for data representation. IEEE Trans Pattern Anal Mach Intell 37(10):2085\u20132098","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"5747_CR28","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1145\/2766898","volume":"34","author":"T Liu","year":"2015","unstructured":"Liu T, Hertzmann A, Li W, Funkhouser T (2015) Style compatibility for 3D furniture models. ACM Trans Graph (TOG) 34(4):85","journal-title":"ACM Trans Graph (TOG)"},{"key":"5747_CR29","doi-asserted-by":"crossref","unstructured":"L\u00f3pez GL, Negr\u00f3n APP, De Antonio Jim\u00e9nez A, Rodr\u00edguez JR, Paredes RI (2016) Comparative analysis of shape descriptors for 3D objects. Multimedia Tools and Applications 76(5):6993\u20137040","DOI":"10.1007\/s11042-016-3330-5"},{"issue":"4","key":"5747_CR30","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/2766929","volume":"34","author":"Z Lun","year":"2015","unstructured":"Lun Z, Kalogerakis E, Sheffer A (2015) Elements of style: learning perceptual shape style similarity. ACM Trans Graph (TOG) 34(4):84","journal-title":"ACM Trans Graph (TOG)"},{"issue":"9","key":"5747_CR31","doi-asserted-by":"publisher","first-page":"3789","DOI":"10.1109\/TIP.2014.2332398","volume":"23","author":"Y Luo","year":"2014","unstructured":"Luo Y, Liu T, Tao D, Xu C (2014) Decomposition-based transfer distance metric learning for image classification. IEEE Trans Image Process 23(9):3789\u20133801","journal-title":"IEEE Trans Image Process"},{"key":"5747_CR32","doi-asserted-by":"crossref","unstructured":"Mallya A, Lazebnik S (2015) Learning informative edge maps for indoor scene layout prediction. In: Proceedings of the IEEE international conference on computer vision","DOI":"10.1109\/ICCV.2015.113"},{"issue":"2","key":"5747_CR33","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1961209.1961213","volume":"29","author":"T Mei","year":"2011","unstructured":"Mei T, Yang B, Hua X-S, Li S (2011) Contextual video recommendation by multimodal relevance and user feedback. ACM Trans Inf Syst 29(2):10","journal-title":"ACM Trans Inf Syst"},{"issue":"4","key":"5747_CR34","first-page":"92","volume":"33","author":"P O\u2019Donovan","year":"2014","unstructured":"O\u2019Donovan P, L\u0131\u0304beks J, Agarwala A, Hertzmann A (2014) Exploratory font selection using crowdsourced attributes. ACM Trans Graph (TOG) 33(4):92","journal-title":"ACM Trans Graph (TOG)"},{"issue":"6","key":"5747_CR35","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren S, He K, Girshick R, Sun J (2017) Faster r-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 39(6):1137\u20131149","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5747_CR36","unstructured":"Saleh B, Dontcheva M, Hertzmann A, Liu Z (2015) Learning style similarity for searching infographics. In: Proceedings of the 41st graphics interface conference. Canadian information processing society, pp 59\u201364"},{"key":"5747_CR37","doi-asserted-by":"crossref","unstructured":"Wang Y, Wang H, Li X (2013) An intelligent recommendation system model based on style for virtual home furnishing in Three-Dimensional scene. In: Proceedings of the IEEE international symposium on computational and business intelligence, pp 213\u2013216","DOI":"10.1109\/ISCBI.2013.50"},{"key":"5747_CR38","doi-asserted-by":"crossref","unstructured":"Wilber MJ, Kwak IS, Belongie SJ (2014) Cost-effective hits for relative similarity comparisons. In: Second AAAI conference on human computation and crowdsourcing","DOI":"10.1609\/hcomp.v2i1.13152"},{"issue":"7","key":"5747_CR39","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.1109\/TPAMI.2016.2596722","volume":"39","author":"J Xie","year":"2017","unstructured":"Xie J, Dai G, Zhu F, Wong E, Fang Y (2017) Deepshape: Deep-learned shape descriptor for 3D shape retrieval. IEEE Trans Pattern Anal Mach Intell 39(7):1335\u20131345","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"5747_CR40","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1145\/1882261.1866206","volume":"29","author":"K Xu","year":"2010","unstructured":"Xu K, Li H, Zhang H, Cohen-Or D, Xiong Y, Cheng Z-Q (2010) Stylecontent separation by anisotropic part scales. ACM Trans Graph (TOG) 29(6):184","journal-title":"ACM Trans Graph (TOG)"},{"issue":"4","key":"5747_CR41","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1145\/2010324.1964981","volume":"30","author":"L-F Yu","year":"2011","unstructured":"Yu L-F, Yeung S-K, Tang C-K, Terzopoulos D, Chan TF, Osher SJ (2011) Make it home: automatic optimization of furniture arrangement. ACM Trans Graph (TOG) 30(4):86","journal-title":"ACM Trans Graph (TOG)"},{"issue":"4","key":"5747_CR42","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1145\/2766908","volume":"34","author":"ME Yumer","year":"2015","unstructured":"Yumer ME, Chaudhuri S, Hodgins JK, Kara LB (2015) Semantic shape editing using deformation handles. ACM Trans Graph (TOG) 34(4):86","journal-title":"ACM Trans Graph (TOG)"},{"key":"5747_CR43","doi-asserted-by":"crossref","unstructured":"Zhang Y, Song S, Tan P, Xiao J (2015) Panocontext: a whole-room 3D context model for panoramic scene understanding. In: Proceedings of european conference on computer vision","DOI":"10.1007\/978-3-319-10599-4_43"},{"issue":"99","key":"5747_CR44","first-page":"1","volume":"PP","author":"J Zhu","year":"2017","unstructured":"Zhu J, Guo Y, Ma H (2017) A data-driven approach for furniture and indoor scene colorization. IEEE Trans Vis Comput Graph PP(99):1\u20131","journal-title":"IEEE Trans Vis Comput Graph"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-5747-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5747-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5747-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T23:07:54Z","timestamp":1693523274000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-5747-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,12]]},"references-count":44,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["5747"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-5747-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,2,12]]},"assertion":[{"value":"1 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 January 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}