{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:22:39Z","timestamp":1743121359230,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811575297"},{"type":"electronic","value":"9789811575303"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-981-15-7530-3_33","type":"book-chapter","created":{"date-parts":[[2020,8,13]],"date-time":"2020-08-13T15:50:27Z","timestamp":1597333827000},"page":"429-441","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Distributed Image Retrieval Base on LSH Indexing on Spark"],"prefix":"10.1007","author":[{"given":"Zelei","family":"Hou","sequence":"first","affiliation":[]},{"given":"Chao","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Jiagao","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Linfeng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,14]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Datar, M., Immorlica, N., Indyk, P., Mirrokni, V.S.: Locality-sensitive hashing scheme based on P-stable distributions. In: Proceedings of the Twentieth Annual Symposium on Computational Geometry, pp. 253\u2013262. ACM (2004)","DOI":"10.1145\/997817.997857"},{"key":"33_CR2","unstructured":"Gionis, A., Indyk, P., Motwani, R., et al.: Similarity search in high dimensions via hashing. In: Vldb, vol. 99, pp. 518\u2013529 (1999)"},{"key":"33_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1007\/978-3-642-17832-0_12","volume-title":"Advances in Multimedia Modeling","author":"R Ren","year":"2011","unstructured":"Ren, R., Collomosse, J., Jose, J.: A BOVW based query generative model. In: Lee, K.-T., Tsai, W.-H., Liao, H.-Y.M., Chen, T., Hsieh, J.-W., Tseng, C.-C. (eds.) MMM 2011. LNCS, vol. 6523, pp. 118\u2013128. Springer, Heidelberg (2011). \nhttps:\/\/doi.org\/10.1007\/978-3-642-17832-0_12"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Battiato, S., Farinella, G.M., Messina, E., Puglisi, G.: Understanding geometric manipulations of images through BOVW-based hashing. In: 2011 IEEE International Conference on Multimedia and Expo, pp. 1\u20136. IEEE (2011)","DOI":"10.1109\/ICME.2011.6012160"},{"key":"33_CR5","unstructured":"Kumar, M.D., Babaie, M., Zhu, S., Kalra, S., Tizhoosh, H.R.: A comparative study of CNN, BOVW and LBP for classification of histopathological images. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1\u20137. IEEE (2017)"},{"issue":"7","key":"33_CR6","doi-asserted-by":"publisher","first-page":"2801","DOI":"10.1016\/j.camwa.2011.07.046","volume":"62","author":"NK Alham","year":"2011","unstructured":"Alham, N.K., Li, M., Liu, Y., Hammoud, S.: A mapreduce-based distributed svm algorithm for automatic image annotation. Comput. Math. Appl. 62(7), 2801\u20132811 (2011)","journal-title":"Comput. Math. Appl."},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Yin, D., Liu, D.: Content-based image retrial based on Hadoop. Math. Probl. Eng. (2013)","DOI":"10.1155\/2013\/684615"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Jai-Andaloussi, S., Elabdouli, A., Chaffai, A., Madrane, N., Sekkaki, A.: Medical content based image retrieval by using the Hadoop framework. In: ICT 2013, pp. 1\u20135. IEEE (2013)","DOI":"10.1109\/ICTEL.2013.6632112"},{"issue":"3","key":"33_CR9","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1007\/s11042-012-1256-0","volume":"71","author":"JS Hare","year":"2014","unstructured":"Hare, J.S., Samangooei, S., Lewis, P.H.: Practical scalable image analysis and indexing using Hadoop. Multimed. Tools Appl. 71(3), 1215\u20131248 (2014)","journal-title":"Multimed. Tools Appl."},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Mezzoudj, S., Seghir, R., Saadna, Y., et al.: A parallel content-based image retrieval system using spark and tachyon frameworks. J. King Saud Univ. Comput. Inf. Sci. (2019)","DOI":"10.1016\/j.jksuci.2019.01.003"},{"key":"33_CR11","unstructured":"Zhang, W., Li, D., Xu, Y., Zhang, Y.: Shuffle-efficient distributed locality sensitive hashing on spark. In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 766\u2013767. IEEE (2016)"}],"container-title":["Communications in Computer and Information Science","Big Data and Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-7530-3_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,13]],"date-time":"2020-08-13T16:03:08Z","timestamp":1597334588000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-7530-3_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811575297","9789811575303"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-7530-3_33","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"14 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICBDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icbds2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.icbds.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OJS\/PKP","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"251","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"12","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}