{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T03:42:26Z","timestamp":1772077346932,"version":"3.50.1"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T00:00:00Z","timestamp":1614124800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T00:00:00Z","timestamp":1614124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"The Science and Technology Development Fund of Macao SAR","award":["FDCT079\/2016\/A2"],"award-info":[{"award-number":["FDCT079\/2016\/A2"]}]},{"name":"The Multi-year Research Grant","award":["MYRG2017-00218-FST"],"award-info":[{"award-number":["MYRG2017-00218-FST"]}]},{"name":"The Multi-year Research Grant","award":["MYRG2018-00111-FST"],"award-info":[{"award-number":["MYRG2018-00111-FST"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1007\/s11042-021-10662-0","type":"journal-article","created":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T23:02:45Z","timestamp":1614207765000},"page":"19179-19201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["An automatic 2D to 3D video conversion approach based on RGB-D images"],"prefix":"10.1007","volume":"80","author":[{"given":"Baiyu","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2664-8193","authenticated-orcid":false,"given":"Liming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanxiong","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Lan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feilong","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,24]]},"reference":[{"issue":"3","key":"10662_CR1","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1145\/1531326.1531330","volume":"28","author":"C Barnes","year":"2009","unstructured":"Barnes C, Shechtman E, Finkelstein A, Goldman DB (2009) Patchmatch: a randomized correspondence algorithm for structural image editing. ACM Trans Graph 28(3):24","journal-title":"ACM Trans Graph"},{"issue":"5","key":"10662_CR2","doi-asserted-by":"publisher","first-page":"1315","DOI":"10.1109\/TRO.2018.2853742","volume":"34","author":"F Basso","year":"2018","unstructured":"Basso F, Menegatti E, Pretto A (2018) Robust intrinsic and extrinsic calibration of rgb-d cameras. IEEE Trans on Robot 34(5):1315\u20131332","journal-title":"IEEE Trans on Robot"},{"key":"10662_CR3","doi-asserted-by":"crossref","unstructured":"Bertalmio M, Sapiro G, Caselles V, Ballester C (2000) Image inpainting. In: The ACM special interest group on computer graphics, pp. 417\u2013424","DOI":"10.1145\/344779.344972"},{"issue":"8","key":"10662_CR4","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1109\/TIP.2003.815261","volume":"12","author":"M Bertalmio","year":"2003","unstructured":"Bertalmio M, Vese L, Sapiro G, Osher S (2003) Simultaneous structure and texture image inpainting. IEEE Trans Image Processing 12(8):882\u2013889","journal-title":"IEEE Trans Image Processing"},{"key":"10662_CR5","doi-asserted-by":"crossref","unstructured":"Bhattacharya S, Gupta S, Venkatesh KS (2014) High accuracy depth filtering for kinect using edge guided inpainting. In: International conference on advances in computing communications and informatics, pp. 868\u2013874","DOI":"10.1109\/ICACCI.2014.6968427"},{"issue":"1","key":"10662_CR6","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1109\/TITS.2016.2564640","volume":"18","author":"L Chen","year":"2017","unstructured":"Chen L, He Y, Chen J, Li Q, Zou Q (2017) Transforming a 3-d lidar point cloud into a 2-d dense depth map through a parameter self-adaptive framework. IEEE trans Intell Transp Syst 18(1):165\u2013176","journal-title":"IEEE trans Intell Transp Syst"},{"key":"10662_CR7","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1007\/s11063-018-9877-6","volume":"49","author":"Y Chen","year":"2019","unstructured":"Chen Y, Hu H (2019) An improved method for semantic image inpainting with gans: Progressive inpainting. Neural Process Lett 49:1355\u20131367","journal-title":"Neural Process Lett"},{"key":"10662_CR8","doi-asserted-by":"crossref","unstructured":"Cheng Y, Cai R, Li Z, Zhao X, Huang K (2017) Locality-sensitive deconvolution networks with gated fusion for rgb-d indoor semantic segmentation. In: CVPR, pp. 1475\u20131483","DOI":"10.1109\/CVPR.2017.161"},{"key":"10662_CR9","doi-asserted-by":"crossref","unstructured":"Efros AA, Leung TK (1999) Texture synthesis by non-parametric sampling. In: International conference on computer vision, vol. 2, pp. 1033\u20131038","DOI":"10.1109\/ICCV.1999.790383"},{"key":"10662_CR10","unstructured":"Eigen D, Puhrsch C, Fergus R (2014) Depth map prediction from a single image using a multi-scale deep network. In: Ghahramani Z, Welling M, Cortes C, Lawrence ND, Weinberger KQ (eds) Conference on Neural Information Processing Systems, pp. 2366\u20132374"},{"issue":"1","key":"10662_CR11","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1109\/TRO.2013.2279412","volume":"30","author":"F Endres","year":"2014","unstructured":"Endres F, Hess J, Sturm J, Cremers D, Burgard W (2014) 3-d mapping with an rgb-d camera. IEEE Trans Robot 30(1):177\u2013187","journal-title":"IEEE Trans Robot"},{"key":"10662_CR12","doi-asserted-by":"crossref","unstructured":"Fan DP, Lin Z, Zhang Z, Zhu M, Cheng MM (2020) Rethinking RGB-d salient object detection: Models, datasets, and large-scale benchmarks IEEE Trans Neur Net Lear","DOI":"10.1109\/TNNLS.2020.2996406"},{"issue":"9","key":"10662_CR13","doi-asserted-by":"publisher","first-page":"10807","DOI":"10.1007\/s11042-017-5077-z","volume":"77","author":"Q Fan","year":"2018","unstructured":"Fan Q, Zhang L (2018) A novel patch matching algorithm for exemplar-based image inpainting. Multimed Tools Appl 77(9):10807\u201310821","journal-title":"Multimed Tools Appl"},{"key":"10662_CR14","unstructured":"Fehn C (2003) A 3d-tv approach using depth-image-based rendering (dibr). In: The international association of science and technology for development international conference on visualization, imaging and image processing. benalmadena, Spain"},{"key":"10662_CR15","doi-asserted-by":"crossref","unstructured":"Fu H, Xu D, Lin S, Liu J (2015) Object-based rgbd image co-segmentation with mutex constraint. In: CVPR, pp. 4428\u20134436","DOI":"10.1109\/CVPR.2015.7299072"},{"key":"10662_CR16","doi-asserted-by":"crossref","unstructured":"Fu K, Fan DP, Ji GP, Zhao Q (2020) Jl-dcf: Joint learning and densely-cooperative fusion framework for rgb-d salient object detection. In: CVPR, pp. 3052\u20133062","DOI":"10.1109\/CVPR42600.2020.00312"},{"issue":"7","key":"10662_CR17","doi-asserted-by":"publisher","first-page":"9003","DOI":"10.1007\/s11042-017-4791-x","volume":"77","author":"Z Hai-Tao","year":"2018","unstructured":"Hai-Tao Z, Yu J, Zeng-Fu W (2018) Probability contour guided depth map inpainting and superresolution using non-local total generalized variation. Multimed Tools Appl 77(7):9003\u20139020","journal-title":"Multimed Tools Appl"},{"issue":"7","key":"10662_CR18","first-page":"1933","volume":"30","author":"H Hamout","year":"2020","unstructured":"Hamout H, Elyousfi A (2020) Fast depth map intra coding for 3d video compression-based tensor feature extraction and data analysis. IEEE Trans Circuits Syst Video Technol 30(7):1933\u20131945","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"10662_CR19","doi-asserted-by":"crossref","unstructured":"Hu X, Yang K, Fei L, Wang K (2019) Acnet: Attention based network to exploit complementary features for rgbd semantic segmentation. In: ICIP, pp. 1440\u20131444","DOI":"10.1109\/ICIP.2019.8803025"},{"issue":"4","key":"10662_CR20","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1109\/TCE.2014.7027347","volume":"60","author":"S Kang","year":"2014","unstructured":"Kang S, Kang M, Kim D, Ko S (2014) A novel depth image enhancement method based on the linear surface model. IEEE Trans Consum Electron 60(4):710\u2013718","journal-title":"IEEE Trans Consum Electron"},{"issue":"11","key":"10662_CR21","doi-asserted-by":"publisher","first-page":"12981","DOI":"10.1007\/s11042-016-3733-3","volume":"76","author":"CC Kao","year":"2017","unstructured":"Kao CC (2017) Stereoscopic image generation with depth image based rendering. Multimed Tools Appl 76(11):12981\u201312999","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"10662_CR22","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TCE.2012.6311344","volume":"58","author":"S Kim","year":"2012","unstructured":"Kim S, Ho Y (2012) Fast edge-preserving depth image upsampler. IEEE Trans Consum Electron 58(3):971\u2013977","journal-title":"IEEE Trans Consum Electron"},{"issue":"2","key":"10662_CR23","doi-asserted-by":"publisher","first-page":"1156","DOI":"10.1109\/LRA.2016.2518242","volume":"1","author":"M Klingensmith","year":"2016","unstructured":"Klingensmith M, Sirinivasa SS, Kaess M (2016) Articulated robot motion for simultaneous localization and mapping (arm-slam). IEEE Robot Auto Lett 1(2):1156\u20131163","journal-title":"IEEE Robot Auto Lett"},{"key":"10662_CR24","doi-asserted-by":"crossref","unstructured":"Lai K, Bo L, Ren X, Fox D (2011) A large-scale hierarchical multi-view rgb-d object dataset. In: IEEE International conference on robotics and automation, pp. 1817\u20131824","DOI":"10.1109\/ICRA.2011.5980382"},{"issue":"2","key":"10662_CR25","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1109\/TCE.2012.6227460","volume":"58","author":"J Lee","year":"2012","unstructured":"Lee J, Lee D, Park R (2012) Robust exemplar-based inpainting algorithm using region segmentation. IEEE Trans Consum Electron 58(2):553\u2013561","journal-title":"IEEE Trans Consum Electron"},{"issue":"6","key":"10662_CR26","doi-asserted-by":"publisher","first-page":"7661","DOI":"10.1007\/s11042-016-3413-3","volume":"76","author":"J Lei","year":"2017","unstructured":"Lei J, Zhang C, Wu M, You L, Fan K, Hou C (2017) A divide-and-conquer hole-filling method for handling disocclusion in single-view rendering. Multimed Tools Appl 76(6):7661\u20137676","journal-title":"Multimed Tools Appl"},{"issue":"10","key":"10662_CR27","doi-asserted-by":"publisher","first-page":"2920","DOI":"10.1109\/TCSVT.2017.2715045","volume":"28","author":"C Liang","year":"2018","unstructured":"Liang C, Qi L, He Y (2018) Guan, l.: 3d human action recognition using a single depth feature and locality-constrained affine subspace coding. IEEE Trans Circuits Syst Video Technol 28(10):2920\u20132932","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"10662_CR28","unstructured":"Liu J, Gong X, Liu J (2012) Guided inpainting and filtering for kinect depth maps. In: International conference on pattern recognition, pp. 2055\u20132058. IEEE"},{"key":"10662_CR29","doi-asserted-by":"crossref","unstructured":"Ma F, Cavalheiro GV, Karaman S (2019) Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera. In: ICRA","DOI":"10.1109\/ICRA.2019.8793637"},{"key":"10662_CR30","doi-asserted-by":"crossref","unstructured":"Ma F, Karaman S (2018) Sparse-to-dense: Depth prediction from sparse depth samples and a single image. In: ICRA","DOI":"10.1109\/ICRA.2018.8460184"},{"issue":"1","key":"10662_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.21928\/uhdjst.v4n1y2020.pp1-8","volume":"4","author":"A Mariwan Abdulla","year":"2020","unstructured":"Mariwan Abdulla A (2020) Quality improvement for exemplar-based image inpainting using a modified searching mechanism. UHD J Sci Tech 4(1):1\u20138","journal-title":"UHD J Sci Tech"},{"key":"10662_CR32","doi-asserted-by":"crossref","unstructured":"Mayer N, Ilg E, H\u00e4usser P., Fischer P, Cremers D, Dosovitskiy A, Brox T (2016) A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation. In: CVPR","DOI":"10.1109\/CVPR.2016.438"},{"key":"10662_CR33","unstructured":"McMillan Jr L (1997) An image-based approach to three-dimensional computer graphics. Ph.D. thesis, Dept. CS NC Chapel Hill Univ"},{"key":"10662_CR34","doi-asserted-by":"crossref","unstructured":"Menze M, Geiger A (2015) Object scene flow for autonomous vehicles. In: IEEE International conference on information technology and computer science","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"10662_CR35","doi-asserted-by":"crossref","unstructured":"Miao D, Fu J, Lu Y, Li S, Chen CW (2012) Texture-assisted kinect depth inpainting. In: The IEEE international symposium on circuits and systems, pp. 604\u2013607","DOI":"10.1109\/ISCAS.2012.6272103"},{"key":"10662_CR36","doi-asserted-by":"crossref","unstructured":"Minoli D (2010) 3DTV content capture encoding and transmission: building the transport infrastructure for commercial services","DOI":"10.1002\/9780470874226"},{"issue":"12","key":"10662_CR37","doi-asserted-by":"publisher","first-page":"1788","DOI":"10.1109\/LSP.2016.2637355","volume":"24","author":"H Park","year":"2017","unstructured":"Park H, Lee KM (2017) Look wider to match image patches with convolutional neural networks. IEEE Signal Process Lett 24(12):1788\u20131792","journal-title":"IEEE Signal Process Lett"},{"key":"10662_CR38","doi-asserted-by":"crossref","unstructured":"Park J, Kim H, Tai YW, Brown MS, Kweon I (2011) High quality depth map upsampling for 3d-tof cameras. In: International conference on computer vision, pp. 1623\u20131630","DOI":"10.1109\/ICCV.2011.6126423"},{"key":"10662_CR39","doi-asserted-by":"crossref","unstructured":"Pathak D, Krahenbuhl P, Donahue J, Darrell T, Efros AA (2016) Context encoders: Feature learning by inpainting. In: IEEE Conference on computer vision and pattern recognition, pp. 2536\u20132544","DOI":"10.1109\/CVPR.2016.278"},{"key":"10662_CR40","doi-asserted-by":"crossref","unstructured":"Pathak D, Krahenbuhl P, Donahue J, Darrell T, Efros AA (2016) Context encoders: Feature learning by inpainting. In: IEEE International conference on information technology and computer science, pp. 2536\u20132544","DOI":"10.1109\/CVPR.2016.278"},{"key":"10662_CR41","unstructured":"Richard MMOBB, Chang MYS (2001) Fast digital image inpainting. In: The international association of science and technology for development international conference on visualization, imaging and image processing, pp. 106\u2013107"},{"key":"10662_CR42","first-page":"1593","volume":"31","author":"S Rui","year":"2014","unstructured":"Rui S, Hyunsuk K, Jay KCC (2014) Mcl-3d: a database for stereoscopic image quality assessment using 2d-image-plus-depth source. J Inf Sci Eng 31:1593\u20131611","journal-title":"J Inf Sci Eng"},{"key":"10662_CR43","doi-asserted-by":"crossref","unstructured":"Shih ML, Su SY, Kopf J (2020) Huang, J.B.: 3d photography using context-aware layered depth inpainting. In: CVPR","DOI":"10.1109\/CVPR42600.2020.00805"},{"issue":"4","key":"10662_CR44","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1109\/JPROC.2010.2098350","volume":"99","author":"A Smolic","year":"2011","unstructured":"Smolic A, Kauff P, Knorr S, Hornung A, Kunter M, M\u00fcller M., Lang M (2011) Three-dimensional video postproduction and processing. Proc of the IEEE 99(4):607\u2013625","journal-title":"Proc of the IEEE"},{"issue":"5","key":"10662_CR45","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1109\/TSMCB.2007.902249","volume":"37","author":"W Tao","year":"2007","unstructured":"Tao W, Jin H, Zhang Y (2007) Color image segmentation based on mean shift and normalized cuts. IEEE Trans Syst Man Cybern B Cybern 37 (5):1382\u20131389","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"issue":"1","key":"10662_CR46","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1080\/10867651.2004.10487596","volume":"9","author":"A Telea","year":"2004","unstructured":"Telea A (2004) An image inpainting technique based on the fast marching method. J Graphics Tool 9(1):23\u201334","journal-title":"J Graphics Tool"},{"key":"10662_CR47","doi-asserted-by":"crossref","unstructured":"Wang W, Neumann U (2018) Depth-aware cnn for rgb-d segmentation. In: ECCV","DOI":"10.1007\/978-3-030-01252-6_9"},{"issue":"3","key":"10662_CR48","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1109\/TIV.2020.2973550","volume":"5","author":"W Wang","year":"2020","unstructured":"Wang W, Ramesh A, Zhu J, Li J, Zhao D (2020) Clustering of driving encounter scenarios using connected vehicle trajectories. IEEE Trans Intel Vehicles 5(3):485\u2013496","journal-title":"IEEE Trans Intel Vehicles"},{"key":"10662_CR49","doi-asserted-by":"crossref","unstructured":"Xu Y, Zhu X, Shi J, Zhang G, Bao H, Li H (2019) Depth completion from sparse lidar data with depth-normal constraints. In: ICCV, pp. 2811\u20132820","DOI":"10.1109\/ICCV.2019.00290"},{"issue":"8","key":"10662_CR50","doi-asserted-by":"publisher","first-page":"3443","DOI":"10.1109\/TIP.2014.2329776","volume":"23","author":"J Yang","year":"2014","unstructured":"Yang J, Ye X, Li K, Hou C, Wang Y (2014) Color-guided depth recovery from rgb-d data using an adaptive autoregressive model. IEEE Trans Image Process 23(8):3443\u20133458","journal-title":"IEEE Trans Image Process"},{"issue":"14","key":"10662_CR51","doi-asserted-by":"publisher","first-page":"19325","DOI":"10.1007\/s11042-019-7236-x","volume":"78","author":"L Yao","year":"2019","unstructured":"Yao L, Han Y, Li X (2019) Fast and high-quality virtual view synthesis from multi-view plus depth videos. Multimed Tools Appl 78(14):19325\u201319340","journal-title":"Multimed Tools Appl"},{"key":"10662_CR52","unstructured":"Ying H, Zhang L, Luo G, Zhu Y (2015) A new disocclusion filling approach in depth image based rendering for stereoscopic imaging. In: Interface conference on control, automation and information sciences, pp. 313\u2013317"},{"key":"10662_CR53","doi-asserted-by":"crossref","unstructured":"Yu Y, Song Y, Zhang Y, Wen S (2012) A shadow repair approach for kinect depth maps. In: Asian conference on computer vision, pp. 615\u2013626. Springer","DOI":"10.1007\/978-3-642-37447-0_47"},{"issue":"65","key":"10662_CR54","first-page":"1","volume":"17","author":"J Zbontar","year":"2016","unstructured":"Zbontar J, LeCun Y (2016) Stereo matching by training a convolutional neural network to compare image patches. J Mach Learn Res 17(65):1\u201332","journal-title":"J Mach Learn Res"},{"key":"10662_CR55","doi-asserted-by":"crossref","unstructured":"Zhang J, Fan DP, Dai Y, Anwar S, Sadat Saleh F, Zhang T, Barnes N (2020) Uc-net: Uncertainty inspired rgb-d saliency detection via conditional variational autoencoders. In: CVPR","DOI":"10.1109\/CVPR42600.2020.00861"},{"key":"10662_CR56","unstructured":"Zhang L, Lan J, Yin H, Luo G, Zhu Y (2016) Kinect based 3d video generation. In: IADIS International conference computer graphics, visualization, computer vision and image processing, pp 278\u2013282, Madeira, Portugal"},{"key":"10662_CR57","unstructured":"Zhang S, Zhu Y, Po LM (2011) A new depth-aided multidirectional disocclusion restoration method for depth-image-based rendering. In: International conference on information technology and computer science. ASME press"},{"issue":"11","key":"10662_CR58","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.1109\/34.888718","volume":"22","author":"Z Zhang","year":"2000","unstructured":"Zhang Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell 22(11):1330\u20131334","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"10662_CR59","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MMUL.2012.24","volume":"19","author":"Z Zhang","year":"2012","unstructured":"Zhang Z (2012) Microsoft kinect sensor and its effect. IEEE Multimed 19(2):4\u201310","journal-title":"IEEE Multimed"},{"issue":"4","key":"10662_CR60","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612","journal-title":"IEEE Trans Image Process"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-10662-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-10662-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-10662-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,18]],"date-time":"2022-12-18T22:14:08Z","timestamp":1671401648000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-10662-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,24]]},"references-count":60,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["10662"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-10662-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,24]]},"assertion":[{"value":"23 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 February 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}