{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:09:59Z","timestamp":1743041399941,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030190859"},{"type":"electronic","value":"9783030190866"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-19086-6_26","type":"book-chapter","created":{"date-parts":[[2019,5,11]],"date-time":"2019-05-11T18:09:24Z","timestamp":1557598164000},"page":"233-243","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Large-Scale Image Retrieval Method Based on Image Elimination Technology and Supervised Kernel Hash"],"prefix":"10.1007","author":[{"given":"Zhiming","family":"Yin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianguo","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingjian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanqi","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,12]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Yang, X., Zhu, Q., Cheng, K.T.: Near-duplicate detection for images and videos. In: ACM Workshop on Large-Scale Multimedia Retrieval and Mining, pp. 73\u201380. ACM (2009)","DOI":"10.1145\/1631058.1631073"},{"issue":"3","key":"26_CR2","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1145\/1993036.1993037","volume":"29","author":"JS Pedro","year":"2011","unstructured":"Pedro, J.S., Siersdorfer, S., Sanderson, M.: Content redundancy in YouTube and its application to video tagging. ACM Trans. Inf. Syst. 29(3), 13\u201343 (2011)","journal-title":"ACM Trans. Inf. Syst."},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Indyk, P., Levi, R., Rubinfeld, R.: Erratum for: approximating and testing k-histogram distributions in sub-linear time. In: ACM Symposium on Principles of Database Systems, pp. 343\u2013343. ACM (2015)","DOI":"10.1145\/2745754.2745784"},{"issue":"6","key":"26_CR4","first-page":"1092","volume":"34","author":"B Kulis","year":"2012","unstructured":"Kulis, B., Grauman, K.: Kernelized locality-sensitive hashing. IEEE Comput. Soc. 34(6), 1092\u20131104 (2012)","journal-title":"IEEE Comput. Soc."},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Datar, M., Immorlica, N., Indyk, P., et al.: Locality-sensitive hashing scheme based on p-stable distributions. In: Twentieth Symposium on Computational Geometry, pp. 253\u2013262. ACM (2004)","DOI":"10.1145\/997817.997857"},{"key":"26_CR6","unstructured":"Weiss, Y., Torralba, A., Fergus, R.: Spectral hashing. In: International Conference on Neural Information Processing Systems, pp. 1753\u20131760. Curran Associates Inc. (2008)"},{"issue":"12","key":"26_CR7","doi-asserted-by":"publisher","first-page":"2393","DOI":"10.1109\/TPAMI.2012.48","volume":"34","author":"J Wang","year":"2012","unstructured":"Wang, J., Kumar, S., Chang, S.F.: Semi-supervised hashing for large-scale search. IEEE Trans. Pattern Anal. Mach. Intell. 34(12), 2393\u20132406 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"26_CR8","unstructured":"Chang, S.F.: Supervised hashing with kernels. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2074\u20132081. IEEE Computer Society (2012)"},{"issue":"5","key":"26_CR9","first-page":"xviii, 236","volume":"87","author":"Y Nesterov","year":"2004","unstructured":"Nesterov, Y.: Introductory lectures on convex optimization. Appl. Optim. 87(5), xviii, 236 (2004)","journal-title":"Appl. Optim."},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., ImageNet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"26_CR11","unstructured":"Li, F.F., Fergus, R., Perona, P.: Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In: Conference on Computer Vision and Pattern Recognition Workshop, p. 178. IEEE Computer Society (2004)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Advanced Hybrid Information Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19086-6_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T09:07:52Z","timestamp":1562749672000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-19086-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030190859","9783030190866"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19086-6_26","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Hybrid Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yiyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adhip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/adhip2018.eai-conferences.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}