{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:57:59Z","timestamp":1742954279994,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030659547"},{"type":"electronic","value":"9783030659554"}],"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\/978-3-030-65955-4_20","type":"book-chapter","created":{"date-parts":[[2020,12,19]],"date-time":"2020-12-19T16:02:50Z","timestamp":1608393770000},"page":"268-280","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Weighted Lightweight Image Retrieval Method Based on Linear Regression"],"prefix":"10.1007","author":[{"given":"Lina","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangqin","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Dang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiehui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,12,20]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1006\/jvci.1999.0413","volume":"10","author":"Y Rui","year":"1999","unstructured":"Rui, Y., Huang, T.S., Chang, S.-F.: Image retrieval: current techniques, promising directions, and open issues. J. Vis. Commun. Image Represent. 10, 39\u201362 (1999)","journal-title":"J. Vis. Commun. Image Represent."},{"key":"20_CR2","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.inffus.2017.01.003","volume":"37","author":"L Piras","year":"2017","unstructured":"Piras, L., Giacinto, G.: Information fusion in content based image retrieval: a comprehensive overview. Inform. Fusion 37, 50\u201360 (2017)","journal-title":"Inform. Fusion"},{"issue":"2","key":"20_CR3","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.1007\/s11042-018-6333-6","volume":"78","author":"G Raghuwanshi","year":"2018","unstructured":"Raghuwanshi, G., Tyagi, V.: A novel technique for content based image retrieval based on region-weight assignment. Multimed. Tools Appl. 78(2), 1889\u20131911 (2018). https:\/\/doi.org\/10.1007\/s11042-018-6333-6","journal-title":"Multimed. Tools Appl."},{"key":"20_CR4","first-page":"113","volume":"12","author":"S Cui","year":"2018","unstructured":"Cui, S., Xiong, S., Liu, C., Chen, M.: A survey of content-based medical image retrieval methods. J. Chongqing Univ. Technol. (Nat. Sci.) 12, 113\u2013121 (2018)","journal-title":"J. Chongqing Univ. Technol. (Nat. Sci.)"},{"key":"20_CR5","unstructured":"Zhou, W., Li, H., Tian, Q.: Recent advance in content-based image retrieval: a literature survey (2017). arXiv preprint arXiv:1706.06064"},{"issue":"S1","key":"20_CR6","first-page":"196","volume":"46","author":"J Peng","year":"2019","unstructured":"Peng, J., Su, Y., Xue, X.: SAR image feature retrieval method based on deep learning and synchronic matrix. Comput. Sci. 46(S1), 196\u2013199+204 (2019)","journal-title":"Comput. Sci."},{"issue":"12","key":"20_CR7","first-page":"127","volume":"42","author":"C Zhang","year":"2019","unstructured":"Zhang, C., Yang, X., Qiquan, X., Chen, S.: Hash fast retrieval and image matching based on sift feature. Modern Electron. Techn. 42(12), 127\u2013131 (2019)","journal-title":"Modern Electron. Techn."},{"issue":"03","key":"20_CR8","first-page":"229","volume":"28","author":"ZJC Shuang","year":"2019","unstructured":"Shuang, Z.J.C., Lili, H.: Clothing image retrieval method based on deep learning. Comput. Syst. Appl. 28(03), 229\u2013234 (2019)","journal-title":"Comput. Syst. Appl."},{"issue":"03","key":"20_CR9","first-page":"303","volume":"46","author":"X He","year":"2019","unstructured":"He, X., Tang, Y., Wang, L., Chen, P., Yuan, G.: Estimating graphlets via two common substructures aware sampling in social networksmultitask hierarchical image retrieval technology based on faster rcnnh. Comput. Sci. 46(03), 303\u2013313 (2019)","journal-title":"Comput. Sci."},{"key":"20_CR10","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1016\/j.compeleceng.2017.08.030","volume":"70","author":"LK Pavithra","year":"2018","unstructured":"Pavithra, L.K., Sharmila, T.S.: An efficient framework for image retrieval using color, texture and edge features. Comput. Elect. Eng. 70, 580\u2013593 (2018)","journal-title":"Comput. Elect. Eng."},{"issue":"4","key":"20_CR11","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1051\/jnwpu\/20183640742","volume":"36","author":"H Qiao","year":"2018","unstructured":"Qiao, H., Deng, Z., Xue, J., Song, Q.: Research of image retrieval method based on improved feature. J. Northwest. Polytech. Univ. 36(4), 742\u2013747 (2018)","journal-title":"J. Northwest. Polytech. Univ."},{"key":"20_CR12","unstructured":"Liu, Z.: Research on key techniques of image perceptual hashing. J. Harbin Inst. Technol. (2013)"},{"key":"20_CR13","first-page":"1405","volume":"7","author":"X Niu","year":"2008","unstructured":"Niu, X., Jiao, Y.: An overview of perceptual hashing. Acta Electron. Sinica 7, 1405\u20131411 (2008)","journal-title":"Acta Electron. Sinica"},{"issue":"1","key":"20_CR14","first-page":"355","volume":"26","author":"L Xiaoqiang","year":"2016","unstructured":"Xiaoqiang, L., Zheng, X., Li, X.: Latent semantic minimal hashing for image retrieval. IEEE Trans. Image Process. 26(1), 355\u2013368 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"20_CR15","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1109\/TKDE.2016.2562624","volume":"29","author":"L Zhu","year":"2016","unstructured":"Zhu, L., Shen, J., Xie, L., Cheng, Z.: Unsupervised visual hashing with semantic assistant for content-based image retrieval. IEEE Trans. Knowl. Data Eng. 29(2), 472\u2013486 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"20_CR16","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.neucom.2017.03.072","volume":"249","author":"A Alzu\u2019bi","year":"2017","unstructured":"Alzu\u2019bi, A., Amira, A., Ramzan, N.: Content-based image retrieval with compact deep convolutional features. Neurocomputing 249, 95\u2013105 (2017)","journal-title":"Neurocomputing"},{"key":"20_CR17","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.inffus.2018.11.004","volume":"51","author":"KT Ahmed","year":"2019","unstructured":"Ahmed, K.T., Ummesafi, S., Iqbal, A.: Content based image retrieval using image features information fusion. Information Fusion 51, 76\u201399 (2019)","journal-title":"Information Fusion"},{"issue":"2","key":"20_CR18","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3233\/FI-2017-1605","volume":"156","author":"N Varish","year":"2017","unstructured":"Varish, N., Kumar, S., Pal, A.K.: A novel similarity measure for content based image retrieval in discrete cosine transform domain. Fundam. Inform. 156(2), 209\u2013235 (2017)","journal-title":"Fundam. Inform."},{"key":"20_CR19","unstructured":"Zhang, W., Kong, X., You, X.: Secure and robust image perceptual hashing. J. Southeast Univ. (Nat. Sci. Ed.), (S1), 188\u2013192 (2007)"},{"issue":"3","key":"20_CR20","doi-asserted-by":"publisher","first-page":"4617","DOI":"10.1007\/s11042-016-3723-5","volume":"76","author":"M Fei","year":"2016","unstructured":"Fei, M., Ju, Z., Zhen, X., Li, J.: Real-time visual tracking based on improved perceptual hashing. Multimedia Tools Appl. 76(3), 4617\u20134634 (2016). https:\/\/doi.org\/10.1007\/s11042-016-3723-5","journal-title":"Multimedia Tools Appl."},{"issue":"07","key":"20_CR21","first-page":"765","volume":"53","author":"H Wang","year":"2019","unstructured":"Wang, H., Yin, W., Wang, L., Jianghao, H., Qiao, W.: Fast edge extraction algorithm based on HSV color space. J. Shanghai Jiaotong Univ. 53(07), 765\u2013772 (2019)","journal-title":"J. Shanghai Jiaotong Univ."},{"key":"20_CR22","unstructured":"Krizhevsky, A., Nair, V., Hinton, G.: Cifar-10 and cifar-100 datasets, 6:1 (2009). https:\/\/www.cs.toronto.edu\/kriz\/cifar.html"},{"key":"20_CR23","unstructured":"Griffin, G., Holub, A., Perona, P.: Caltech-256 object category dataset (2007)"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Chathurika, K.B.A.B., Jayasinghe, P.K.S.C.: A revised averaging algorithm for an effective feature extraction in component-based image retrieval system. In: 2015 IEEE International Advance Computing Conference (IACC), pp. 1153\u20131157 (2015)","DOI":"10.1109\/IADCC.2015.7154884"},{"key":"20_CR25","doi-asserted-by":"crossref","unstructured":"Kobayashi, K., Chen, Q.: Image retrieval using features in spatial and frequency domains based on block-division. In: 2015 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 448\u2013453 (2015)","DOI":"10.1109\/CSCI.2015.148"}],"container-title":["Lecture Notes in Computer Science","Verification and Evaluation of Computer and Communication Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-65955-4_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T00:14:26Z","timestamp":1609114466000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-65955-4_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030659547","9783030659554"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-65955-4_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"20 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"VECoS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Verification and Evaluation of Computer and Communication Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2020","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":"vecos2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/vecos-world.org\/2020\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","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":"19","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":"1","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":"32% - 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":"3.26","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":"2.86","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)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}