{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:27:58Z","timestamp":1777656478767,"version":"3.51.4"},"publisher-location":"Cham","reference-count":54,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464862","type":"print"},{"value":"9783319464879","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46487-9_7","type":"book-chapter","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T14:50:47Z","timestamp":1474037447000},"page":"103-120","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Hierarchical Beta Process with Gaussian Process Prior for Hyperspectral Image Super Resolution"],"prefix":"10.1007","author":[{"given":"Naveed","family":"Akhtar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faisal","family":"Shafait","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajmal","family":"Mian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,17]]},"reference":[{"issue":"1","key":"7_CR1","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.forsciint.2012.09.012","volume":"223","author":"G Edelman","year":"2012","unstructured":"Edelman, G., Gaston, E., Van Leeuwen, T., Cullen, P., Aalders, M.: Hyperspectral imaging for non-contact analysis of forensic traces. Forensic Sci. Intl. 223(1), 28\u201339 (2012)","journal-title":"Forensic Sci. Intl."},{"issue":"1","key":"7_CR2","doi-asserted-by":"publisher","first-page":"010901","DOI":"10.1117\/1.JBO.19.1.010901","volume":"19","author":"G Lu","year":"2014","unstructured":"Lu, G., Fei, B.: Medical hyperspectral imaging: a review. J. Biomed. Opt. 19(1), 010901 (2014)","journal-title":"J. Biomed. Opt."},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Chang, H., Barner, K., Spellman, P., Parvin, B.: Classification of histology sections via multispectral convolutional sparse coding. In: CVPR, June 2014","DOI":"10.1109\/CVPR.2014.394"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Kawakami, R., Wright, J., Tai, Y.W., Matsushita, Y., Ben-Ezra, M., Ikeuchi, K.: High-resolution hyperspectral imaging via matrix factorization. In: CVPR, pp. 2329\u20132336, June 2011","DOI":"10.1109\/CVPR.2011.5995457"},{"issue":"2","key":"7_CR5","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1109\/MGRS.2013.2244672","volume":"1","author":"JB Dias","year":"2013","unstructured":"Dias, J.B., Plaza, A., Valls, G.C., Scheunders, P., Nasrabadi, N., Chanussot, J.: Hyperspectral remote sensing data analysis and future challenges. IEEE Geosci. Remote Sens. Mag. 1(2), 6\u201336 (2013)","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"issue":"5","key":"7_CR6","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1109\/JSTSP.2011.2149497","volume":"5","author":"A Charles","year":"2011","unstructured":"Charles, A., Olshausen, B., Rozell, C.: Learning sparse codes for hyperspectral imagery. IEEE J. Sel. Top. Signal Process. 5(5), 963\u2013978 (2011)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"1","key":"7_CR7","doi-asserted-by":"publisher","first-page":"2:1","DOI":"10.1145\/2071389.2071391","volume":"44","author":"D Zhang","year":"2012","unstructured":"Zhang, D., Zuo, W., Yue, F.: A comparative study of palmprint recognition algorithms. ACM Comput. Surv. 44(1), 2:1\u20132:37 (2012)","journal-title":"ACM Comput. Surv."},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Uzair, M., Mahmood, A., Mian, A.: Hyperspectral face recognition using 3D-DCT and partial least squares. In: Proceedings British Machine Vision Conference 2013 (BMVC), pp. 57.1\u201357.10 (2013)","DOI":"10.5244\/C.27.57"},{"issue":"6","key":"7_CR9","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1109\/TSMCA.2010.2052603","volume":"40","author":"W Di","year":"2010","unstructured":"Di, W., Zhang, L., Zhang, D., Pan, Q.: Studies on hyperspectral face recognition in visible spectrum with feature band selection. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 40(6), 1354\u20131361 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum."},{"issue":"11","key":"7_CR10","doi-asserted-by":"publisher","first-page":"3615","DOI":"10.1016\/j.patcog.2015.04.008","volume":"48","author":"Z Khan","year":"2015","unstructured":"Khan, Z., Shafait, F., Mian, A.: Automatic ink mismatch detection for forensic document analysis. Pattern Recogn. 48(11), 3615\u20133626 (2015)","journal-title":"Pattern Recogn."},{"issue":"7","key":"7_CR11","doi-asserted-by":"publisher","first-page":"1461","DOI":"10.1016\/j.patcog.2010.12.019","volume":"44","author":"SJ Kim","year":"2011","unstructured":"Kim, S.J., Deng, F., Brown, M.S.: Visual enhancement of old documents with hyperspectral imaging. Pattern Recogn. 44(7), 1461\u20131469 (2011)","journal-title":"Pattern Recogn."},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, H.V., Banerjee, A., Chellappa, R.: Tracking via object reflectance using a hyperspectral video camera. In: CVPRW, pp. 44\u201351, June 2010","DOI":"10.1007\/978-3-642-11568-4_9"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Hwang, S., Park, J., Kim, N., Choi, Y., So Kweon, I.: Multispectral pedestrian detection: benchmark dataset and baseline. In: IEEE Conference on Computer Vision and Pattern Recognition, June 2015","DOI":"10.1109\/CVPR.2015.7298706"},{"issue":"5","key":"7_CR14","doi-asserted-by":"publisher","first-page":"1267","DOI":"10.1109\/TSMCB.2009.2037132","volume":"40","author":"Y Tarabalka","year":"2010","unstructured":"Tarabalka, Y., Chanussot, J., Benediktsson, J.A.: Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers. IEEE Trans. Syst., Man, Cybern., Syst. 40(5), 1267\u20131279 (2010)","journal-title":"IEEE Trans. Syst., Man, Cybern., Syst."},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Chen, C., Li, Y., Liu, W., Huang, J.: Image fusion with local spectral consistency and dynamic gradient sparsity. In: CVPR, June 2014","DOI":"10.1109\/CVPR.2014.347"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Akhtar, N., Shafait, F., Mian, A.: Bayesian sparse representation for hyperspectral image super resolution. In: IEEE Conference on Computer Vision and Pattern Recognition, June 2015","DOI":"10.1109\/CVPR.2015.7298986"},{"key":"7_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-319-10584-0_5","volume-title":"Computer Vision \u2013 ECCV 2014","author":"N Akhtar","year":"2014","unstructured":"Akhtar, N., Shafait, F., Mian, A.: Sparse Spatio-Spectral Representation for Hyperspectral Image Super-Resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8695, pp. 63\u201378. Springer, Heidelberg (2014). doi: 10.1007\/978-3-319-10584-0_5"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Rasmussen, C.E.: Gaussian processes for machine learning. Citeseer (2006)","DOI":"10.7551\/mitpress\/3206.001.0001"},{"issue":"1","key":"7_CR19","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MSP.2013.2279274","volume":"31","author":"N Dobigeon","year":"2014","unstructured":"Dobigeon, N., Tourneret, J.Y., Richard, C., Bermudez, J., Mclaughlin, S., Hero, A.O.: Nonlinear unmixing of hyperspectral images: models and algorithms. IEEE Signal Process. Mag. 31(1), 82\u201394 (2014)","journal-title":"IEEE Signal Process. Mag."},{"key":"7_CR20","unstructured":"Thibaux, R., Jordan, M.I.: Hierarchical beta processes and the Indian buffet process. In: International Conference on Artificial Intelligence and Statistics, pp. 564\u2013571 (2007)"},{"key":"7_CR21","volume-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, Secaucus (2006)"},{"issue":"4704","key":"7_CR22","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1126\/science.228.4704.1147","volume":"228","author":"J Solomon","year":"1985","unstructured":"Solomon, J., Rock, B.: Imaging spectrometry for earth remote sensing. Science 228(4704), 1147\u20131152 (1985)","journal-title":"Science"},{"issue":"10","key":"7_CR23","doi-asserted-by":"publisher","first-page":"3012","DOI":"10.1109\/TGRS.2007.904923","volume":"45","author":"L Alparone","year":"2007","unstructured":"Alparone, L., Wald, L., Chanussot, J., Thomas, C., Gamba, P., Bruce, L.: Comparison of pansharpening algorithms: outcome of the 2006 GRS-S data-fusion contest. IEEE Trans. Geosci. Remote Sens. 45(10), 3012\u20133021 (2007)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"3","key":"7_CR24","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1109\/36.763274","volume":"37","author":"J Nunez","year":"1999","unstructured":"Nunez, J., Otazu, X., Fors, O., Prades, A., Pala, V., Arbiol, R.: Multiresolution-based image fusion with additive wavelet decomposition. IEEE Trans. Geosci. Remote Sens. 37(3), 1204\u20131211 (1999)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"7_CR25","unstructured":"Haydn, R., Dalke, G.W., Henkel, J., Bare, J.E.: Application of the IHS color transform to the processing of multisensor data and image enhancement. In: Proceedings of the International Symposium on Remote Sensing of Environment (1982)"},{"issue":"4","key":"7_CR26","first-page":"457","volume":"56","author":"WJ Carper","year":"1990","unstructured":"Carper, W.J., Lilles, T.M., Kiefer, R.W.: The use of intensity-hue-saturation transformations for merging SOPT panchromatic and multispectral image data. Photogram. Eng. Remote Sens. 56(4), 457\u2013467 (1990)","journal-title":"Photogram. Eng. Remote Sens."},{"issue":"5","key":"7_CR27","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1109\/TGRS.2008.916211","volume":"46","author":"VP Shah","year":"2008","unstructured":"Shah, V.P., Younan, N.H., King, R.L.: An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets. IEEE Trans. Geosci. Remote Sens. 46(5), 1323\u20131335 (2008)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"7","key":"7_CR28","doi-asserted-by":"publisher","first-page":"1779","DOI":"10.1080\/01431160802639525","volume":"30","author":"M Cetin","year":"2009","unstructured":"Cetin, M., Musaoglu, N.: Merging hyperspectral and panchromatic image data: qualitative and quantitative analysis. Int. J. Remote Sens. 30(7), 1779\u20131804 (2009)","journal-title":"Int. J. Remote Sens."},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Kwon, H., Tai, Y.W.: RGB-guided hyperspectral image upsampling. In: International Conference on Computer Vision (2015)","DOI":"10.1109\/ICCV.2015.43"},{"issue":"3","key":"7_CR30","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1109\/36.763276","volume":"37","author":"B Zhukov","year":"1999","unstructured":"Zhukov, B., Oertel, D., Lanzl, F., Reinhackel, G.: Unmixing-based multisensor multiresolution image fusion. IEEE Trans. Geosci. Remote Sens. 37(3), 1212\u20131226 (1999)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"2","key":"7_CR31","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1109\/LGRS.2005.861699","volume":"3","author":"A Minghelli-Roman","year":"2006","unstructured":"Minghelli-Roman, A., Polidori, L., Mathieu-Blanc, S., Loubersac, L., Cauneau, F.: Spatial resolution improvement by merging MERIS-ETM images for coastal water monitoring. IEEE Geosci. Remote Sens. Lett. 3(2), 227\u2013231 (2006)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"1","key":"7_CR32","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/79.974727","volume":"19","author":"N Keshava","year":"2002","unstructured":"Keshava, N., Mustard, J.: Spectral unmixing. IEEE Signal Process. Mag. 19(1), 44\u201357 (2002)","journal-title":"IEEE Signal Process. Mag."},{"issue":"3","key":"7_CR33","doi-asserted-by":"publisher","first-page":"1693","DOI":"10.1109\/TGRS.2013.2253612","volume":"52","author":"B Huang","year":"2014","unstructured":"Huang, B., Song, H., Cui, H., Peng, J., Xu, Z.: Spatial and spectral image fusion using sparse matrix factorization. IEEE Trans. Geosci. Remote Sens. 52(3), 1693\u20131704 (2014)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"3","key":"7_CR34","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1109\/LGRS.2008.919685","volume":"5","author":"R Zurita-Milla","year":"2008","unstructured":"Zurita-Milla, R., Clevers, J.G., Schaepman, M.E.: Unmixing-based Landsat TM and MERIS FR data fusion. IEEE Trans. Geosci. Remote Sens. 5(3), 453\u2013457 (2008)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"7_CR35","doi-asserted-by":"crossref","unstructured":"He, L., Qi, H., Zaretzki, R.: Beta process joint dictionary learning for coupled feature spaces with application to single image super-resolution. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 345\u2013352, June 2013","DOI":"10.1109\/CVPR.2013.51"},{"key":"7_CR36","first-page":"W3","volume":"3","author":"C Lanaras","year":"2015","unstructured":"Lanaras, C., Baltsavias, E., Schindler, K.: Advances in hyperspectral and multispectral image fusion and spectral unmixing. ISPRS \u2013 Intl. Arch. Photogrammetry, Remote Sens. Spat. Inf. Sci. 3, W3 (2015)","journal-title":"ISPRS \u2013 Intl. Arch. Photogrammetry, Remote Sens. Spat. Inf. Sci."},{"key":"7_CR37","doi-asserted-by":"crossref","unstructured":"Lanaras, C.A., Baltsavias, E., Schindler, K.: Hyperspectral super-resolution by coupled spectral unmixing. In: International Conference on Computer Vision (2015)","DOI":"10.1109\/ICCV.2015.409"},{"key":"7_CR38","doi-asserted-by":"crossref","unstructured":"Wycoff, E., Chan, T.H., Jia, K., Ma, W.K., Ma, Y.: A non-negative sparse promoting algorithm for high resolution hyperspectral imaging. In: ICASSP, pp. 1409\u20131413, May 2013","DOI":"10.1109\/ICASSP.2013.6637883"},{"issue":"7","key":"7_CR39","doi-asserted-by":"publisher","first-page":"3658","DOI":"10.1109\/TGRS.2014.2381272","volume":"53","author":"Q Wei","year":"2015","unstructured":"Wei, Q., Bioucas-Dias, J., Dobigeon, N., Tourneret, J.Y.: Hyperspectral and multispectral image fusion based on a sparse representation. IEEE Trans. Geosci. Remote Sens. 53(7), 3658\u20133668 (2015)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"2","key":"7_CR40","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1109\/TGRS.2011.2161320","volume":"50","author":"N Yokoya","year":"2012","unstructured":"Yokoya, N., Yairi, T., Iwasaki, A.: Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion. IEEE Trans. Geosci. Remote Sens. 50(2), 528\u2013537 (2012)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1","key":"7_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3(1), 1\u2013122 (2011)","journal-title":"Found. Trends Mach. Learn."},{"issue":"6","key":"7_CR42","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1109\/JPROC.2010.2040551","volume":"98","author":"R Rubinstein","year":"2010","unstructured":"Rubinstein, R., Bruckstein, A., Elad, M.: Dictionaries for sparse representation modeling. Proc. IEEE 98(6), 1045\u20131057 (2010)","journal-title":"Proc. IEEE"},{"issue":"1","key":"7_CR43","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1109\/TIP.2011.2160072","volume":"21","author":"M Zhou","year":"2012","unstructured":"Zhou, M., Chen, H., Paisley, J., Ren, L., Li, L., Xing, Z., Dunson, D., Sapiro, G., Carin, L.: Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images. IEEE Trans. Image Process. 21(1), 130\u2013144 (2012)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"7_CR44","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1162\/089976699300016674","volume":"11","author":"S Roweis","year":"1999","unstructured":"Roweis, S., Ghahramani, Z.: A unifying review of linear Gaussian models. Neural Comput. 11(2), 305\u2013345 (1999)","journal-title":"Neural Comput."},{"issue":"1","key":"7_CR45","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1093\/biomet\/57.1.97","volume":"57","author":"WK Hastings","year":"1970","unstructured":"Hastings, W.K.: Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1), 97\u2013109 (1970)","journal-title":"Biometrika"},{"key":"7_CR46","unstructured":"Zhou, M., Yang, H., Sapiro, G., Dunson, D.B., Carin, L.: Dependent hierarchical beta process for image interpolation and denoising. In: International Conference on Artificial Intelligence and Statistics, pp. 883\u2013891 (2011)"},{"key":"7_CR47","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1111\/1467-9868.00179","volume":"61","author":"P Damien","year":"1999","unstructured":"Damien, P., Wakefield, J., Walker, S.: Gibbs sampling for Bayesian non-conjugate and hierarchical models by using auxiliary variables. J. Roy. Stat. Soc. Ser. B Stat. Methodol. 61, 331\u2013344 (1999)","journal-title":"J. Roy. Stat. Soc. Ser. B Stat. Methodol."},{"issue":"1","key":"7_CR48","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/BF02984820","volume":"27","author":"J Havil","year":"2005","unstructured":"Havil, J.: Gamma: Exploring Euler\u2019s Constant. The Mathematical Intelligence 27(1), 86\u201388 (2005)","journal-title":"The Mathematical Intelligence"},{"key":"7_CR49","volume-title":"Introduction to Probability Models","author":"SM Ross","year":"2014","unstructured":"Ross, S.M.: Introduction to Probability Models. Academic Press, San Diego (2014)"},{"key":"7_CR50","unstructured":"Yuhas, R.H., Goetz, A.F., Boardman, J.W.: Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm. In: Summaries of the Third Annual JPL Airborne Geoscience Workshop, vol. 1, pp. 147\u2013149. JPL Publication, Pasadena (1992)"},{"key":"7_CR51","first-page":"19","volume":"11","author":"J Mairal","year":"2010","unstructured":"Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online learning for matrix factorization and sparse coding. J. Mach. Learning Res. 11, 19\u201360 (2010)","journal-title":"J. Mach. Learning Res."},{"issue":"3","key":"7_CR52","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/S0034-4257(98)00064-9","volume":"65","author":"RO Green","year":"1998","unstructured":"Green, R.O., Eastwood, M.L., Sarture, C.M., Chrien, T.G., Aronsson, M., Chippendale, B.J., Faust, J.A., Pavri, B.E., Chovit, C.J., Solis, M., Olah, M.R., Williams, O.: Imaging spectroscopy and the airborne visible\/infrared imaging spectrometer (AVIRIS). Remote Sens. Environ. 65(3), 227\u2013248 (1998)","journal-title":"Remote Sens. Environ."},{"key":"7_CR53","unstructured":"Yasuma, F., Mitsunaga, T., Iso, D., Nayar, S.: Generalized assorted pixel camera: post-capture control of resolution, dynamic range and spectrum. Technical report, Dept. of Comp. Sci., Columbia University, CUCS-061-08, November 2008"},{"key":"7_CR54","doi-asserted-by":"crossref","unstructured":"Chakrabarti, A., Zickler, T.: Statistics of real-world hyperspectral images. In: CVPR, pp. 193\u2013200, June 2011","DOI":"10.1109\/CVPR.2011.5995660"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46487-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T17:11:29Z","timestamp":1657300289000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46487-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464862","9783319464879"],"references-count":54,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46487-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"17 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}