{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:28:13Z","timestamp":1740122893419,"version":"3.37.3"},"reference-count":81,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T00:00:00Z","timestamp":1561334400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T00:00:00Z","timestamp":1561334400000},"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":["61571269"],"award-info":[{"award-number":["61571269"]}],"id":[{"id":"10.13039\/501100001809","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":[[2019,10]]},"DOI":"10.1007\/s11042-019-07743-6","type":"journal-article","created":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T14:30:23Z","timestamp":1561386623000},"page":"27533-27551","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MEIAH: Mixing explicit and implicit formulation of attributes in binary representation for person re-identification"],"prefix":"10.1007","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3998-8514","authenticated-orcid":false,"given":"Liufang","family":"Sang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guiguang","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,24]]},"reference":[{"key":"7743_CR1","doi-asserted-by":"crossref","unstructured":"Cao Y, Long M, Wang J, Zhu H, Wen Q (2016) Deep quantization network for efficient image retrieval. In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, pp 3457\u20133463","DOI":"10.1609\/aaai.v30i1.10455"},{"key":"7743_CR2","doi-asserted-by":"crossref","unstructured":"Chen H, Gallagher AC, Girod B (2012) Describing clothing by semantic attributes. In: Computer vision - ECCV 2012 - 12th european conference on computer vision. Proceedings, Part III, Florence","DOI":"10.1007\/978-3-642-33712-3_44"},{"key":"7743_CR3","doi-asserted-by":"crossref","unstructured":"Chen J, Wang Y, Qin J, Liu L, Shao L (2017) Fast person re-identification via cross-camera semantic binary transformation. In: 2017 IEEE Conference on computer vision and pattern recognition, CVPR 2017, Honolulu, pp 5330\u20135339","DOI":"10.1109\/CVPR.2017.566"},{"key":"7743_CR4","doi-asserted-by":"crossref","unstructured":"Chen W, Chen X, Zhang J, Huang K (2017) Beyond triplet loss: a deep quadruplet network for person re-identification. In: 2017 IEEE Conference on computer vision and pattern recognition, CVPR 2017, Honolulu, pp 1320\u20131329","DOI":"10.1109\/CVPR.2017.145"},{"key":"7743_CR5","doi-asserted-by":"crossref","unstructured":"Chen W, Chen X, Zhang J, Huang K (2017) A multi-task deep network for person re-identification. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, pp 3988\u20133994","DOI":"10.1609\/aaai.v31i1.11201"},{"key":"7743_CR6","doi-asserted-by":"crossref","unstructured":"Chen Y, Zhu X, Gong S (2017) Person re-identification by deep learning multi-scale representations. In: 2017 IEEE International conference on computer vision workshops, ICCV workshops 2017, Venice, pp 2590\u20132600","DOI":"10.1109\/ICCVW.2017.304"},{"key":"7743_CR7","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.sigpro.2015.10.037","volume":"124","author":"Z Cheng","year":"2016","unstructured":"Cheng Z, Shen J (2016) On very large scale test collection for landmark image search benchmarking. Signal Process 124:13\u201326","journal-title":"Signal Process"},{"key":"7743_CR8","unstructured":"Cheng Z, Ding Y, He X, Zhu L, Song X, Kankanhalli M (2018) A\u02c6 3ncf: an adaptive aspect attention model for rating prediction. In: IJCAI, pp 3748\u20133754"},{"key":"7743_CR9","doi-asserted-by":"crossref","unstructured":"Cheng Z, Ding Y, Zhu L, Kankanhalli M (2018) Aspect-aware latent factor model: rating prediction with ratings and reviews. arXiv: 1802.07938","DOI":"10.1145\/3178876.3186145"},{"key":"7743_CR10","doi-asserted-by":"crossref","unstructured":"Chung D, Tahboub K, Delp EJ (2017) A two stream siamese convolutional neural network for person re-identification. In: IEEE International conference on computer vision, ICCV 2017, Venice, pp 1992\u20132000","DOI":"10.1109\/ICCV.2017.218"},{"key":"7743_CR11","doi-asserted-by":"crossref","unstructured":"Deng Y, Luo P, Loy CC, Tang X (2014) Pedestrian attribute recognition at far distance. In: Proceedings of the ACM International Conference on Multimedia, MM \u201914, Orlando","DOI":"10.1145\/2647868.2654966"},{"key":"7743_CR12","unstructured":"Deng Y, Luo P, Loy CC, Tang X (2015) Learning to recognize pedestrian attribute coRR"},{"key":"7743_CR13","doi-asserted-by":"crossref","unstructured":"Fabbri M, Calderara S, Cucchiara R (2017) Generative adversarial models for people attribute recognition in surveillance. In: 14Th IEEE international conference on advanced video and signal based surveillance, AVSS 2017, Lecce","DOI":"10.1109\/AVSS.2017.8078521"},{"key":"7743_CR14","unstructured":"Gionis A, Indyk P, Motwani R (1999) Similarity search in high dimensions via hashing. In: VLDB"},{"key":"7743_CR15","doi-asserted-by":"crossref","unstructured":"Gong Y, Lazebnik S, Gordo A, Perronnin F (2013) Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval PAMI","DOI":"10.1109\/TPAMI.2012.193"},{"key":"7743_CR16","doi-asserted-by":"crossref","unstructured":"He K, Wen F, Sun J (2013) K-means hashing: an affinity-preserving quantization method for learning binary compact codes. In: CVPR","DOI":"10.1109\/CVPR.2013.378"},{"key":"7743_CR17","unstructured":"Heo J, Lee Y, He J, Chang S, Yoon S (2012) Spherical hashing. In: 2012 IEEE Conference on computer vision and pattern recognition, providence, RI, pp 2957\u20132964"},{"key":"7743_CR18","doi-asserted-by":"crossref","unstructured":"Jaha ES, Nixon MS (2014) Soft biometrics for subject identification using clothing attributes. In: IEEE International joint conference on biometrics, clearwater, IJCB 2014, FL, USA","DOI":"10.1109\/BTAS.2014.6996278"},{"issue":"8","key":"7743_CR19","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1109\/TCYB.2013.2283497","volume":"44","author":"Z Jin","year":"2014","unstructured":"Jin Z, Li C, Lin Y, Cai D (2014) Density sensitive hashing. IEEE Trans Cybern 44(8):1362\u20131371","journal-title":"IEEE Trans Cybern"},{"key":"7743_CR20","unstructured":"Kong W, Li W (2012) Isotropic hashing. In: NIPS"},{"key":"7743_CR21","unstructured":"Kulis B, Darrell T (2009) Learning to hash with binary reconstructive embeddings. In: Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, pp 1042\u20131050"},{"key":"7743_CR22","doi-asserted-by":"crossref","unstructured":"Lai H, Pan Y, Liu Y, Yan S (2015) Simultaneous feature learning and hash coding with deep neural networks. In: CVPR","DOI":"10.1109\/CVPR.2015.7298947"},{"key":"7743_CR23","doi-asserted-by":"crossref","unstructured":"Layne R, Hospedales TM, Gong S (2012) Person re-identification by attributes. In: British machine vision conference, BMVC 2012, Surrey, UK","DOI":"10.5244\/C.26.24"},{"key":"7743_CR24","doi-asserted-by":"crossref","unstructured":"Layne R, Hospedales TM, Gong S (2014) Re-id: Hunting attributes in the wild. In: British machine vision conference, BMVC 2014, Nottingham, UK","DOI":"10.5244\/C.28.1"},{"key":"7743_CR25","doi-asserted-by":"crossref","unstructured":"Li W, Zhao R, Xiao T, Wang X (2014) Deepreid: Deep filter pairing neural network for person re-identification. In: 2014 IEEE Conference on computer vision and pattern recognition, CVPR 2014, Columbus, OH, pp 152\u2013159","DOI":"10.1109\/CVPR.2014.27"},{"key":"7743_CR26","doi-asserted-by":"crossref","unstructured":"Li D, Chen X, Huang K (2015) Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios. In: 3Rd IAPR asian conference on pattern recognition, ACPR 2015, Kuala Lumpur","DOI":"10.1109\/ACPR.2015.7486476"},{"key":"7743_CR27","unstructured":"Li D, Zhang Z, Chen X, Ling H, Huang K (2016) A richly annotated dataset for pedestrian attribute recognition coRR"},{"key":"7743_CR28","doi-asserted-by":"crossref","unstructured":"Li D, Chen X, Zhang Z, Huang K (2017) Learning deep context-aware features over body and latent parts for person re-identification. In: 2017 IEEE Conference on computer vision and pattern recognition, CVPR 2017, Honolulu, HI, pp 7398\u20137407","DOI":"10.1109\/CVPR.2017.782"},{"key":"7743_CR29","doi-asserted-by":"crossref","unstructured":"Li Y, Lin G, Zhuang B, Liu L, Shen C, van den Hengel A (2017) Sequential person recognition in photo albums with a recurrent network. In: CVPR","DOI":"10.1109\/CVPR.2017.600"},{"key":"7743_CR30","doi-asserted-by":"crossref","unstructured":"Liao S, Hu Y, Zhu X, Li S (2015) Person re-identification by local maximal occurrence representation and metric learning. In: IEEE Conference on computer vision and pattern recognition, CVPR 2015, Boston, MA, pp 2197\u20132206","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"7743_CR31","doi-asserted-by":"crossref","unstructured":"Lin K, Yang H, Hsiao J, Chen C (2015) Deep learning of binary hash codes for fast image retrieval. In: 2015 IEEE Conference on computer vision and pattern recognition workshops, CVPR workshops, Boston, MA, pp 27\u201335","DOI":"10.1109\/CVPRW.2015.7301269"},{"key":"7743_CR32","unstructured":"Lin Y, Zheng L, Zheng Z, Wu Y, Yang Y (2017) Improving person re-identification by attribute and identity learning. CoRR arXiv: 1703.07220"},{"key":"7743_CR33","doi-asserted-by":"crossref","unstructured":"Liu C, Gong S, Loy CC, Lin X (2012) Person re-identification: what features are important?. In: Computer vision - ECCV 2012. Workshops and demonstrations - florence. Proceedings, Part I, Italy","DOI":"10.1007\/978-3-642-33863-2_39"},{"key":"7743_CR34","unstructured":"Liu W, Wang J, Ji R, Jiang Y, Chang S (2012) Supervised hashing with kernels. In: CVPR"},{"issue":"12","key":"7743_CR35","doi-asserted-by":"publisher","first-page":"4204","DOI":"10.1016\/j.patcog.2012.05.019","volume":"45","author":"X Liu","year":"2012","unstructured":"Liu X, Song M, Zhao Q, Tao D, Chen C, Bu J (2012) Attribute-restricted latent topic model for person re-identification. Pattern Recogn 45(12):4204\u20134213","journal-title":"Pattern Recogn"},{"key":"7743_CR36","unstructured":"Liu W, Mu C, Kumar S, Chang S (2014) Discrete graph hashing. In: NIPS"},{"key":"7743_CR37","doi-asserted-by":"crossref","unstructured":"Liu S, Lu H (2016) Accurate deep representation quantization with gradient snapping layer for similarity search coRR","DOI":"10.1109\/ICME.2017.8019437"},{"key":"7743_CR38","doi-asserted-by":"crossref","unstructured":"Liu F, Xiang T, Hospedales TM, Yang W, Sun C (2017) Semantic regularisation for recurrent image annotation. In: CVPR","DOI":"10.1109\/CVPR.2017.443"},{"key":"7743_CR39","doi-asserted-by":"crossref","unstructured":"Liu X, Zhao H, Tian M, Sheng L, Shao J, Yi S, Yan J, Wang X (2017) Hydraplus-net: Attentive deep features for pedestrian analysis. In: IEEE International conference on computer vision, ICCV 2017, Venice, Italy","DOI":"10.1109\/ICCV.2017.46"},{"key":"7743_CR40","unstructured":"Liu Z, Qin J, Li A, Wang Y, Gool LV (2018) Adversarial binary coding for efficient person re-identification. CoRR arXiv: 1803.10914"},{"key":"7743_CR41","unstructured":"Norouzi M, Fleet DJ (2011) Minimal loss hashing for compact binary codes. In: Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, pp 353\u2013360"},{"key":"7743_CR42","doi-asserted-by":"crossref","unstructured":"Peng P, Tian Y, Xiang T, Wang Y, Huang T (2016) Joint learning of semantic and latent attributes. In: Computer vision - ECCV 2016 - 14th european conference. Proceedings, Part IV, Amsterdam","DOI":"10.1007\/978-3-319-46493-0_21"},{"key":"7743_CR43","doi-asserted-by":"crossref","unstructured":"Qian X, Fu Y, Jiang Y, Xiang T, Xue X (2017) Multi-scale deep learning architectures for person re-identification. In: IEEE International conference on computer vision, ICCV 2017, Venice, Italy, pp 5409\u20135418","DOI":"10.1109\/ICCV.2017.577"},{"key":"7743_CR44","doi-asserted-by":"crossref","unstructured":"Shen F, Shen C, Liu W, Shen HT (2015) Supervised discrete hashing. In: CVPR","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"7743_CR45","unstructured":"Shen F, Shen C, Shi Q, van den Hengel A, Tang Z, Shen HT (2015) Hashing on nonlinear manifolds TIP"},{"key":"7743_CR46","doi-asserted-by":"crossref","unstructured":"Shi Z, Hospedales TM, Xiang T (2015) Transferring a semantic representation for person re-identification and search. In: CVPR","DOI":"10.1109\/CVPR.2015.7299046"},{"issue":"7","key":"7743_CR47","doi-asserted-by":"publisher","first-page":"3210","DOI":"10.1109\/TIP.2018.2814344","volume":"27","author":"J Song","year":"2018","unstructured":"Song J, Zhang H, Li X, Gao L, Wang M, Hong R (2018) Self-supervised video hashing with hierarchical binary auto-encoder. IEEE Trans Image Process 27 (7):3210\u20133221","journal-title":"IEEE Trans Image Process"},{"key":"7743_CR48","doi-asserted-by":"crossref","unstructured":"Su C, Zhang S, Xing J, Gao W, Tian Q (2016) Deep attributes driven multi-camera person re-identification. In: Computer vision - ECCV 2016 - 14th european conference. Proceedings, Part II, Amsterdam, pp 475\u2013491","DOI":"10.1007\/978-3-319-46475-6_30"},{"key":"7743_CR49","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.patcog.2017.01.006","volume":"66","author":"C Su","year":"2017","unstructured":"Su C, Zhang S, Yang F, Zhang G, Tian Q, Gao W, Davis LS (2017) Attributes driven tracklet-to-tracklet person re-identification using latent prototypes space mapping. Pattern Recogn 66:4\u201315","journal-title":"Pattern Recogn"},{"issue":"5","key":"7743_CR50","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1109\/TPAMI.2017.2679002","volume":"40","author":"C Su","year":"2018","unstructured":"Su C, Yang F, Zhang S, Tian Q, Davis LS, Gao W (2018) Multi-task learning with low rank attribute embedding for multi-camera person re-identification. IEEE Trans. Pattern Anal Mach Intell 40(5):1167\u20131181","journal-title":"IEEE Trans. Pattern Anal Mach Intell"},{"key":"7743_CR51","doi-asserted-by":"crossref","unstructured":"Sudowe P, Spitzer H, Leibe B (2015) Person attribute recognition with a jointly-trained holistic CNN model. In: 2015 IEEE International conference on computer vision workshop, ICCV workshops 2015, Santiago, Chile","DOI":"10.1109\/ICCVW.2015.51"},{"key":"7743_CR52","doi-asserted-by":"crossref","unstructured":"Sun Y, Zheng L, Deng W, Wang S (2017) Svdnet for pedestrian retrieval. In: IEEE International conference on computer vision, ICCV 2017, Venice, Italy, pp 3820\u20133828","DOI":"10.1109\/ICCV.2017.410"},{"key":"7743_CR53","doi-asserted-by":"crossref","unstructured":"Varior RR, Haloi M, Wang G (2016) Gated siamese convolutional neural network architecture for human re-identification. In: Computer vision - ECCV 2016 - 14th european conference, Amsterdam, The Netherlands, Proceedings, Part VIII, pp 791\u2013808","DOI":"10.1007\/978-3-319-46484-8_48"},{"key":"7743_CR54","unstructured":"Wang J, Kumar S, Chang S (2010) Sequential projection learning for hashing with compact codes. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10), Haifa, Israel, pp 1127\u20131134"},{"key":"7743_CR55","doi-asserted-by":"crossref","unstructured":"Wang J, Liu W, Kumar S, Chang S (2016) Learning to hash for indexing big data - A survey. Proceedings of the IEEE","DOI":"10.1109\/JPROC.2015.2487976"},{"key":"7743_CR56","doi-asserted-by":"crossref","unstructured":"Wang J, Zhu X, Gong S, Li W (2017) Attribute recognition by joint recurrent learning of context and correlation. In: IEEE International conference on computer vision, ICCV 2017, Venice, Italy","DOI":"10.1109\/ICCV.2017.65"},{"key":"7743_CR57","unstructured":"Weiss Y, Torralba A, Fergus R (2008) Spectral hashing. In: NIPS"},{"key":"7743_CR58","unstructured":"Wu L, Shen C, van den Hengel A (2016) Personnet: Person re-identification with deep convolutional neural networks coRR"},{"key":"7743_CR59","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.cviu.2017.11.009","volume":"167","author":"L Wu","year":"2018","unstructured":"Wu L, Wang Y, Ge Z, Hu Q, Li X (2018) Structured deep hashing with convolutional neural networks for fast person re-identification. Comput Vis Image Underst 167:63\u201373","journal-title":"Comput Vis Image Underst"},{"key":"7743_CR60","doi-asserted-by":"crossref","unstructured":"Xia R, Pan Y, Lai H, Liu C, Yan S (2014) Supervised hashing for image retrieval via image representation learning. In: AAAI","DOI":"10.1609\/aaai.v28i1.8952"},{"key":"7743_CR61","doi-asserted-by":"crossref","unstructured":"Xiao T, Li H, Ouyang W, Wang X (2016) Learning deep feature representations with domain guided dropout for person re-identification. In: 2016 IEEE Conference on computer vision and pattern recognition, CVPR 2016, Las Vegas, NV, pp 1249\u20131258","DOI":"10.1109\/CVPR.2016.140"},{"key":"7743_CR62","doi-asserted-by":"crossref","unstructured":"Xiao T, Li S, Wang B, Lin L, Wang X (2017) Joint detection and identification feature learning for person search. In: 2017 IEEE Conference on computer vision and pattern recognition, CVPR 2017, Honolulu, HI, pp 3376\u20133385","DOI":"10.1109\/CVPR.2017.360"},{"key":"7743_CR63","doi-asserted-by":"crossref","unstructured":"Xie L, Shen J, Han J, Zhu L, Shao L (2017) Dynamic multi-view hashing for online image retrieval IJCAI","DOI":"10.24963\/ijcai.2017\/437"},{"key":"7743_CR64","unstructured":"Xu B, Bu J, Lin Y, Chen C, He X, Cai D (2013) Harmonious hashing. In: IJCAI"},{"key":"7743_CR65","doi-asserted-by":"crossref","unstructured":"Zhang L, Xiang T, Gong S (2016) Learning a discriminative null space for person re-identification. In: 2016 IEEE Conference on computer vision and pattern recognition, CVPR 2016, Las Vegas, NV, pp 1239\u20131248","DOI":"10.1109\/CVPR.2016.139"},{"key":"7743_CR66","doi-asserted-by":"crossref","unstructured":"Zhang P, Zhang W, Li W, Guo M (2014) Supervised hashing with latent factor models. In: SIGIR","DOI":"10.1145\/2600428.2609600"},{"issue":"12","key":"7743_CR67","doi-asserted-by":"publisher","first-page":"4766","DOI":"10.1109\/TIP.2015.2467315","volume":"24","author":"R Zhang","year":"2015","unstructured":"Zhang R, Lin L, Zhang R, Zuo W, Zhang L (2015) Bit-scalable deep hashing with regularized similarity learning for image retrieval and person re-identification. IEEE Trans Image Process 24(12):4766\u20134779","journal-title":"IEEE Trans Image Process"},{"key":"7743_CR68","doi-asserted-by":"crossref","unstructured":"Zhao F, Huang Y, Wang L, Tan T (2015) Deep semantic ranking based hashing for multi-label image retrieval. In: IEEE Conference on computer vision and pattern recognition, CVPR 2015, Boston, MA, pp 1556\u20131564","DOI":"10.1109\/CVPR.2015.7298763"},{"key":"7743_CR69","doi-asserted-by":"crossref","unstructured":"Zhao H, Tian M, Sun S, Shao J, Yan J, Yi S, Wang X, Tang X (2017) Spindle net: Person re-identification with human body region guided feature decomposition and fusion. In: 2017 IEEE Conference on computer vision and pattern recognition, CVPR 2017, Honolulu, HI, pp 907\u2013915","DOI":"10.1109\/CVPR.2017.103"},{"issue":"2","key":"7743_CR70","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1109\/TPAMI.2016.2544310","volume":"39","author":"R Zhao","year":"2017","unstructured":"Zhao R, Ouyang W, Wang X (2017) Person re-identification by saliency learning. IEEE Trans Pattern Anal Mach Intell 39(2):356\u2013370","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"7743_CR71","doi-asserted-by":"crossref","unstructured":"Zhao X, Ding G, Guo Y, Han J, Gao Y (2017) TUCH: turning cross-view hashing into single-view hashing via generative adversarial nets. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, pp 3511\u20133517","DOI":"10.24963\/ijcai.2017\/491"},{"key":"7743_CR72","doi-asserted-by":"crossref","unstructured":"Zheng L, Shen L, Tian L, Wang S, Wang J, Tian Q (2015) Scalable person re-identification: A benchmark. In: 2015 IEEE International conference on computer vision, ICCV 2015, Santiago, Chile, pp 1116\u20131124","DOI":"10.1109\/ICCV.2015.133"},{"key":"7743_CR73","unstructured":"Zheng F, Shao L (2016) Learning cross-view binary identities for fast person re-identification. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, pp 2399\u20132406"},{"key":"7743_CR74","doi-asserted-by":"crossref","unstructured":"Zheng L, Bie Z, Sun Y, Wang J, Su C, Wang S, Tian Q (2016) MARS: A video benchmark for large-scale person re-identification. In: Computer vision - ECCV 2016 - 14th european conference, Amsterdam, The Netherlands, Proceedings, Part VI, pp 868\u2013884","DOI":"10.1007\/978-3-319-46466-4_52"},{"key":"7743_CR75","doi-asserted-by":"crossref","unstructured":"Zhou Z, Huang Y, Wang W, Wang L, Tan T (2017) See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification. In: 2017 IEEE Conference on computer vision and pattern recognition, CVPR 2017, Honolulu, HI, pp 6776\u20136785","DOI":"10.1109\/CVPR.2017.717"},{"key":"7743_CR76","doi-asserted-by":"crossref","unstructured":"Zhu J, Liao S, Yi D, Lei Z, Li S (2015) Multi-label CNN based pedestrian attribute learning for soft biometrics. In: International conference on biometrics, ICB 2015, Phuket, Thailand","DOI":"10.1109\/ICB.2015.7139070"},{"key":"7743_CR77","doi-asserted-by":"crossref","unstructured":"Zhu H, Long M, Wang J, Cao Y (2016) Deep hashing network for efficient similarity retrieval. In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Arizona, pp 2415\u20132421","DOI":"10.1609\/aaai.v30i1.10235"},{"issue":"10","key":"7743_CR78","doi-asserted-by":"publisher","first-page":"4806","DOI":"10.1109\/TIP.2017.2695101","volume":"26","author":"F Zhu","year":"2017","unstructured":"Zhu F, Kong X, Zheng L, Fu H, Tian Q (2017) Part-based deep hashing for large-scale person re-identification. IEEE Trans Image Process 26(10):4806\u20134817","journal-title":"IEEE Trans Image Process"},{"key":"7743_CR79","doi-asserted-by":"publisher","unstructured":"Zhu L, Huang Z, Chang X, Song J, Shen HT (2017) Exploring consistent preferences: Discrete hashing with pair-exemplar for scalable landmark search. In: Proceedings of the 2017 ACM on Multimedia Conference, MM \u201917. ACM, New York, pp 726\u2013734. https:\/\/doi.org\/10.1145\/3123266.3123301","DOI":"10.1145\/3123266.3123301"},{"issue":"9","key":"7743_CR80","doi-asserted-by":"publisher","first-page":"2066","DOI":"10.1109\/TMM.2017.2729025","volume":"19","author":"L Zhu","year":"2017","unstructured":"Zhu L, Huang Z, Liu X, He X, Sun J, Zhou X (2017) Discrete multimodal hashing with canonical views for robust mobile landmark search. IEEE Trans Multimed 19(9):2066\u20132079","journal-title":"IEEE Trans Multimed"},{"key":"7743_CR81","doi-asserted-by":"crossref","unstructured":"Zhu L, Huang Z, Li Z, Xie L, Shen HT (2018) Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval. IEEE Transactions on Neural Networks and Learning Systems 29(11):5264\u20135276","DOI":"10.1109\/TNNLS.2018.2797248"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-07743-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-07743-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-07743-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T19:01:30Z","timestamp":1663786890000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-07743-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,24]]},"references-count":81,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["7743"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-07743-6","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2019,6,24]]},"assertion":[{"value":"24 June 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 March 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 May 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}