{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:22:57Z","timestamp":1740108177337,"version":"3.37.3"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"5-6","license":[{"start":{"date-parts":[[2017,7,17]],"date-time":"2017-07-17T00:00:00Z","timestamp":1500249600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,7,17]],"date-time":"2017-07-17T00:00:00Z","timestamp":1500249600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61103056"],"award-info":[{"award-number":["61103056"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1350521"],"award-info":[{"award-number":["IIS-1350521"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science Foundation","award":["1618398"],"award-info":[{"award-number":["1618398"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1007\/s00138-017-0859-x","type":"journal-article","created":{"date-parts":[[2017,7,17]],"date-time":"2017-07-17T19:11:16Z","timestamp":1500318676000},"page":"623-634","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Covert photo classification by deep convolutional neural networks"],"prefix":"10.1007","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3790-7004","authenticated-orcid":false,"given":"Haiqiang","family":"Zuo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haitao","family":"Lang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Blasch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haibin","family":"Ling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,17]]},"reference":[{"key":"859_CR1","unstructured":"Kpcb 2016 internet trends report. \n                    http:\/\/www.kpcb.com\/internet-trends\n                    \n                  . Accessed 1 July 2016"},{"key":"859_CR2","unstructured":"Wikipedia. \n                    https:\/\/en.wikipedia.org\/wiki\/Secret-photography\n                    \n                  . Accessed 1 July 2016"},{"key":"859_CR3","first-page":"109","volume":"3","author":"M Zimmer","year":"2008","unstructured":"Zimmer, M.: Privacy on planet Google: using the theory of contextual integrity to clarify the privacy threats of Google\u2019s quest for the perfect search engine. J. Bus. & Tech. L. 3, 109 (2008)","journal-title":"J. Bus. & Tech. L."},{"key":"859_CR4","volume-title":"Harm and Offence in Media Content: A Review of the Evidence","author":"AM Hargrave","year":"2009","unstructured":"Hargrave, A.M., Livingstone, S.M.: Harm and Offence in Media Content: A Review of the Evidence. Intellect Books, Bristol (2009)"},{"key":"859_CR5","first-page":"2","volume-title":"He Wanted Roomie Out Rutgers Suicide Complained of Video Voyeur Before Fatal Fall","author":"J Lemire","year":"2010","unstructured":"Lemire, J., Feeney, M.J., Mcshane, L.: He Wanted Roomie Out Rutgers Suicide Complained of Video Voyeur Before Fatal Fall, p. 2. Daily News, New York (2010)"},{"issue":"10","key":"859_CR6","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1089\/cyber.2013.0585","volume":"17","author":"A Oulasvirta","year":"2014","unstructured":"Oulasvirta, A., Suomalainen, T., Hamari, J., Lampinen, A., Karvonen, K.: Transparency of intentions decreases privacy concerns in ubiquitous surveillance. Cyberpsychol. Behav. Soc. Netw. 17(10), 633\u2013638 (2014)","journal-title":"Cyberpsychol. Behav. Soc. Netw."},{"issue":"10","key":"859_CR7","doi-asserted-by":"publisher","first-page":"2996","DOI":"10.1109\/TIP.2015.2431437","volume":"24","author":"H Lang","year":"2015","unstructured":"Lang, H., Ling, H.: Covert photo classification by fusing image features and visual attributes. IEEE Trans. Image Process. 24(10), 2996\u20133008 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"859_CR8","unstructured":"Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., Oliva, A.: Learning deep features for scene recognition using places database. In: Advances in Neural Information Processing Systems, pp. 487\u2013495 (2014). \n                    http:\/\/papers.nips.cc\/paper\/5349-learning-deep-features-for-scene-recognition-using-places-database.pdf?spm=5176.100239.blogcont55892.31.pm8zm1&file=5349-learning-deep-features-for-scene-recognition-using-places-database.pdf"},{"key":"859_CR9","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"859_CR10","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Fei-Fei, L.: Large-scale video classification with convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1725\u20131732 (2014)","DOI":"10.1109\/CVPR.2014.223"},{"key":"859_CR11","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Deoras, A., Povey, D., Burget, L., \u010cernock\u1ef3, J.: Strategies for training large scale neural network language models. In: 2011 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 196\u2013201. IEEE (2011)","DOI":"10.1109\/ASRU.2011.6163930"},{"issue":"6","key":"859_CR12","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MSP.2012.2205597","volume":"29","author":"G Hinton","year":"2012","unstructured":"Hinton, G., Deng, L., Yu, D., Dahl, G.E., Mohamed, Ar, Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T.N., et al.: Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups. IEEE Signal Process. Mag. 29(6), 82\u201397 (2012)","journal-title":"IEEE Signal Process. Mag."},{"key":"859_CR13","doi-asserted-by":"crossref","unstructured":"Sainath, T.N., Mohamed, A.R., Kingsbury, B., Ramabhadran, B.: Deep convolutional neural networks for lVCSR. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8614\u20138618. IEEE (2013)","DOI":"10.1109\/ICASSP.2013.6639347"},{"key":"859_CR14","first-page":"2493","volume":"12","author":"R Collobert","year":"2011","unstructured":"Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P.: Natural language processing (almost) from scratch. J. Mach. Learn. Res. 12, 2493\u20132537 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"859_CR15","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems, pp. 3104\u20133112 (2014). \n                    http:\/\/papers.nips.cc\/paper\/5346-sequence-to-sequence-learning-with-neural-networks.pdf"},{"key":"859_CR16","doi-asserted-by":"crossref","unstructured":"Lake, B.M., Ullman, T.D., Tenenbaum, J.B., Gershman, S.J.: Building machines that learn and think like people. arXiv preprint \n                    arXiv:1604.00289\n                    \n                   (2016)","DOI":"10.1017\/S0140525X16001837"},{"key":"859_CR17","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012). \n                    http:\/\/papers.nips.cc\/paper\/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf"},{"key":"859_CR18","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"859_CR19","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint \n                    arXiv:1409.1556\n                    \n                   (2014)"},{"key":"859_CR20","unstructured":"Greiner, S., Yang, J.: Privacy protection in an electronic chronicle system. In: Proceedings of 34th Annual IEEE Northeast Bioengineering Conference, Citeseer (2008)"},{"key":"859_CR21","doi-asserted-by":"crossref","unstructured":"Senior, A., Senior, A.W.: Protecting Privacy in Video Surveillance, vol. 1, pp. 11\u201333. Springer, Berlin (2009)","DOI":"10.1007\/978-1-84882-301-3_1"},{"key":"859_CR22","doi-asserted-by":"crossref","unstructured":"Winkler, T., Rinner, B.: A systematic approach towards user-centric privacy and security for smart camera networks. In: Proceedings of the Fourth ACM\/IEEE International Conference on Distributed Smart Cameras, pp. 133\u2013141. ACM (2010)","DOI":"10.1145\/1865987.1866009"},{"key":"859_CR23","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/MSP.2005.65","volume":"3","author":"A Senior","year":"2005","unstructured":"Senior, A., Pankanti, S., Hampapur, A., Brown, L., Tian, Y.L., Ekin, A., Connell, J., Shu, C.F., Lu, M.: Enabling video privacy through computer vision. IEEE Secur. Priv. 3, 50\u201357 (2005)","journal-title":"IEEE Secur. Priv."},{"key":"859_CR24","doi-asserted-by":"crossref","unstructured":"Upmanyu, M., Namboodiri, A.M., Srinathan, K., Jawahar, C.: Efficient privacy preserving video surveillance. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 1639\u20131646. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459370"},{"key":"859_CR25","doi-asserted-by":"publisher","first-page":"075427","DOI":"10.1155\/2007\/75427","volume":"2007","author":"D Chen","year":"2007","unstructured":"Chen, D., Chang, Y., Yan, R., Yang, J.: Tools for protecting the privacy of specific individuals in video. EURASIP J. Appl. Signal Process. 2007, 075427 (2007)","journal-title":"EURASIP J. Appl. Signal Process."},{"key":"859_CR26","doi-asserted-by":"crossref","unstructured":"Frome, A., Cheung, G., Abdulkader, A., Zennaro, M., Wu, B., Bissacco, A., Adam, H., Neven, H., Vincent, L.: Large-scale privacy protection in Google street view. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 2373\u20132380. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459413"},{"key":"859_CR27","unstructured":"Agrawal, P., Narayanan, P.: Person de-identification in videos. IEEE Trans. Circuits Syst. Video Technol. 21(3), 299\u2013310 (2011). \n                    https:\/\/cvit.iiit.ac.in\/images\/ConferencePapers\/2011\/deidentTCSVT2k11.pdf"},{"issue":"8","key":"859_CR28","doi-asserted-by":"publisher","first-page":"1152","DOI":"10.1109\/TCSVT.2008.927110","volume":"18","author":"K Martin","year":"2008","unstructured":"Martin, K., Plataniotis, K.N.: Privacy protected surveillance using secure visual object coding. IEEE Trans. Circuits Syst. Video Technol. 18(8), 1152\u20131162 (2008)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"859_CR29","doi-asserted-by":"crossref","unstructured":"Du, L., Ling, H.: Preservative license plate de-identification for privacy protection. In: 2011 International Conference on Document Analysis and Recognition (ICDAR), pp. 468\u2013472. IEEE (2011)","DOI":"10.1109\/ICDAR.2011.100"},{"key":"859_CR30","unstructured":"Chattopadhyay, A., Boult, T.E.: Privacycam: a privacy preserving camera using uclinux on the blackfin dsp. In: IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR\u201907, pp. 1\u20138. IEEE (2007)"},{"key":"859_CR31","doi-asserted-by":"crossref","unstructured":"Wilber, M.I., Boult, T.E.: Secure remote matching with privacy: scrambled support vector vaulted verification (s 2 v 3). In: 2012 IEEE Workshop on Applications of Computer Vision (WACV), pp. 169\u2013176. IEEE (2012)","DOI":"10.1109\/WACV.2012.6163018"},{"issue":"11","key":"859_CR32","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/MC.2012.364","volume":"45","author":"AK Jain","year":"2012","unstructured":"Jain, A.K., Nandakumar, K.: Biometric authentication: system security and user privacy. IEEE Comput. 45(11), 87\u201392 (2012)","journal-title":"IEEE Comput."},{"issue":"4","key":"859_CR33","doi-asserted-by":"publisher","first-page":"1811","DOI":"10.1109\/TITS.2014.2308543","volume":"15","author":"S Martin","year":"2014","unstructured":"Martin, S., Tawari, A., Trivedi, M.M.: Toward privacy-protecting safety systems for naturalistic driving videos. IEEE Trans. Intell. Transp. Syst. 15(4), 1811\u20131822 (2014)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"2","key":"859_CR34","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s00530-011-0244-y","volume":"18","author":"Y Nakashima","year":"2012","unstructured":"Nakashima, Y., Babaguchi, N., Fan, J.: Intended human object detection for automatically protecting privacy in mobile video surveillance. Multimedia Syst. 18(2), 157\u2013173 (2012)","journal-title":"Multimedia Syst."},{"key":"859_CR35","doi-asserted-by":"publisher","unstructured":"Elhadad, A., Hamad, S., Khalifa, A., Ghareeb, A.: High capacity information hiding for privacy protection in digital video files. Neural Comput. Appl. (2016). doi:\n                    10.1007\/s00521-016-2323-7","DOI":"10.1007\/s00521-016-2323-7"},{"issue":"1","key":"859_CR36","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/TIFS.2010.2097252","volume":"6","author":"A Ross","year":"2011","unstructured":"Ross, A., Othman, A.: Visual cryptography for biometric privacy. IEEE Trans. Inf. Forensics Secur. 6(1), 70\u201381 (2011)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"859_CR37","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015). \n                    http:\/\/pages.cs.wisc.edu\/~dyer\/cs540\/handouts\/deep-learning-nature2015.pdf"},{"key":"859_CR38","doi-asserted-by":"crossref","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: British Machine Vision Conference (2014)","DOI":"10.5244\/C.28.6"},{"key":"859_CR39","unstructured":"Wallach, I., Dzamba, M., Heifets, A.: Atomnet: A deep convolutional neural network for bioactivity prediction in structure-based drug discovery. arXiv preprint \n                    arXiv:1510.02855\n                    \n                   (2015)"},{"issue":"3","key":"859_CR40","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"859_CR41","unstructured":"Yosinski, J., Clune, J., Bengio, Y., Lipson, H.: How transferable are features in deep neural networks? In: Advances in Neural Information Processing Systems, pp. 3320\u20133328 (2014)"},{"key":"859_CR42","doi-asserted-by":"crossref","unstructured":"Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Learning and transferring mid-level image representations using convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1717\u20131724 (2014)","DOI":"10.1109\/CVPR.2014.222"},{"key":"859_CR43","doi-asserted-by":"crossref","unstructured":"Maitra, D.S., Bhattacharya, U., Parui, S.K.: CNN based common approach to handwritten character recognition of multiple scripts. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 1021\u20131025. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333916"},{"issue":"10","key":"859_CR44","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"859_CR45","unstructured":"Caffe model zoo. \n                    https:\/\/github.com\/BVLC\/caffe\/wiki\/Model-Zoo\n                    \n                  . Accessed 15 June 2016"},{"key":"859_CR46","doi-asserted-by":"publisher","unstructured":"Banerjee, I., Crawley, A., Bhethanabotla, M., Daldrup-Link, H.E., Rubin, D.L.: Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma. Comput. Med. Imaging Graph. (2017). doi:\n                    10.1016\/j.compmedimag.2017.05.002","DOI":"10.1016\/j.compmedimag.2017.05.002"},{"key":"859_CR47","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.neucom.2017.01.018","volume":"235","author":"MM Ghazi","year":"2017","unstructured":"Ghazi, M.M., Yanikoglu, B., Aptoula, E.: Plant identification using deep neural networks via optimization of transfer learning parameters. Neurocomputing 235, 228\u2013235 (2017)","journal-title":"Neurocomputing"},{"key":"859_CR48","unstructured":"Cortes, C., Mohri, M.: Auc optimization vs. error rate minimization. Adv. Neural Inf. Process. Syst. 16(16), 313\u2013320 (2004). \n                    http:\/\/papers.nips.cc\/paper\/2518-auc-optimization-vs-error-rate-minimization.pdf"},{"key":"859_CR49","doi-asserted-by":"crossref","unstructured":"Tronci, R., Giacinto, G., Roli, F.: Dynamic score combination: a supervised and unsupervised score combination method. In: Machine Learning and Data Mining in Pattern Recognition, pp. 163\u2013177. Springer, Berlin (2009)","DOI":"10.1007\/978-3-642-03070-3_13"},{"key":"859_CR50","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the ACM International Conference on Multimedia, pp. 675\u2013678. ACM (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"859_CR51","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp. 807\u2013814 (2010)"},{"issue":"1","key":"859_CR52","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"859_CR53","doi-asserted-by":"crossref","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Computer vision\u2014ECCV 2014, pp. 818\u2013833. Springer (2014)","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"859_CR54","doi-asserted-by":"crossref","unstructured":"Mahendran, A., Vedaldi, A.: Understanding deep image representations by inverting them. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5188\u20135196. IEEE (2015)","DOI":"10.1109\/CVPR.2015.7299155"},{"key":"859_CR55","doi-asserted-by":"crossref","unstructured":"Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A.: Learning deep features for discriminative localization. arXiv preprint \n                    arXiv:1512.04150\n                    \n                   (2015)","DOI":"10.1109\/CVPR.2016.319"},{"key":"859_CR56","unstructured":"Yosinski, J., Clune, J., Nguyen, A., Fuchs, T., Lipson, H.: Understanding neural networks through deep visualization. In: Deep Learning Workshop, International Conference on Machine Learning (ICML) (2015)"},{"issue":"7","key":"859_CR57","doi-asserted-by":"publisher","first-page":"e0130,140","DOI":"10.1371\/journal.pone.0130140","volume":"10","author":"S Bach","year":"2015","unstructured":"Bach, S., Binder, A., Montavon, G., Klauschen, F., M\u00fcller, K.R., Samek, W.: On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PLoS ONE 10(7), e0130,140 (2015)","journal-title":"PLoS ONE"},{"issue":"5","key":"859_CR58","doi-asserted-by":"publisher","first-page":"918","DOI":"10.1109\/TPAMI.2015.2469286","volume":"38","author":"Z Zhang","year":"2016","unstructured":"Zhang, Z., Luo, P., Loy, C.C., Tang, X.: Learning deep representation for face alignment with auxiliary attributes. IEEE Trans. Pattern Anal. Mach. Intell. 38(5), 918\u2013930 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"859_CR59","doi-asserted-by":"crossref","unstructured":"Razavian, A., Azizpour, H., Sullivan, J., Carlsson, S.: CNN features off-the-shelf: an astounding baseline for recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 806\u2013813 (2014)","DOI":"10.1109\/CVPRW.2014.131"},{"key":"859_CR60","unstructured":"Ferrari, V., Zisserman, A.: Learning visual attributes. In: Advances in Neural Information Processing Systems, pp. 433\u2013440 (2007). \n                    http:\/\/papers.nips.cc\/paper\/3217-learning-visual-attributes.pdf"},{"key":"859_CR61","unstructured":"Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Describing objects by their attributes. In: IEEE Conference on Computer Vision and Pattern Recognition, 2009. CVPR 2009, pp. 1778\u20131785. IEEE (2009)"},{"key":"859_CR62","doi-asserted-by":"crossref","unstructured":"Russakovsky, O., Fei-Fei, L.: Attribute learning in large-scale datasets. In: Trends and Topics in Computer Vision, pp. 1\u201314. Springer, Berlin (2010)","DOI":"10.1007\/978-3-642-35749-7_1"},{"key":"859_CR63","doi-asserted-by":"crossref","unstructured":"Shankar, S., Garg, V.K., Cipolla, R.: Deep-carving: discovering visual attributes by carving deep neural nets. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3403\u20133412 (2015)","DOI":"10.1109\/CVPR.2015.7298962"},{"key":"859_CR64","doi-asserted-by":"crossref","unstructured":"Jourabloo, A., Yin, X., Liu, X.: Attribute preserved face de-identification. In: 2015 International Conference on Biometrics (ICB), pp. 278\u2013285. IEEE (2015)","DOI":"10.1109\/ICB.2015.7139096"},{"key":"859_CR65","doi-asserted-by":"crossref","unstructured":"Klare, B.F., Klum, S., Klontz, J.C., Taborsky, E., Akgul, T., Jain, A.K.: Suspect identification based on descriptive facial attributes. In: 2014 IEEE International Joint Conference on Biometrics (IJCB), pp. 1\u20138. IEEE (2014)","DOI":"10.1109\/BTAS.2014.6996255"},{"issue":"5","key":"859_CR66","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/LSP.2010.2043888","volume":"17","author":"AK Moorthy","year":"2010","unstructured":"Moorthy, A.K., Bovik, A.C.: A two-step framework for constructing blind image quality indices. IEEE Signal Process. Lett. 17(5), 513\u2013516 (2010)","journal-title":"IEEE Signal Process. Lett."}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00138-017-0859-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-017-0859-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-017-0859-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T18:12:24Z","timestamp":1589566344000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00138-017-0859-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,17]]},"references-count":66,"journal-issue":{"issue":"5-6","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["859"],"URL":"https:\/\/doi.org\/10.1007\/s00138-017-0859-x","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"type":"print","value":"0932-8092"},{"type":"electronic","value":"1432-1769"}],"subject":[],"published":{"date-parts":[[2017,7,17]]},"assertion":[{"value":"16 September 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2017","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 July 2017","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}