{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:12:57Z","timestamp":1780762377903,"version":"3.54.1"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T00:00:00Z","timestamp":1701907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072090"],"award-info":[{"award-number":["62072090"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202090"],"award-info":[{"award-number":["62202090"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62173101"],"award-info":[{"award-number":["62173101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Liaoning Province Natural Science Foundation Medical-Engineering Cross Joint Fund","award":["2022-YGJC-24"],"award-info":[{"award-number":["2022-YGJC-24"]}]},{"name":"Doctoral Scientific Research Foundation of Liaoning Province","award":["2022-BS-077"],"award-info":[{"award-number":["2022-BS-077"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["N2217009"],"award-info":[{"award-number":["N2217009"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The ever-growing multi-modal images pose great challenges to local image storage and retrieval systems. Cloud computing provides a solution to large-scale image data storage but suffers from privacy issues and lacks the support for multi-modal image retrieval. To address these, a searchable encryption-empowered privacy-preserving multi-modal image retrieval method is proposed. First, we design a hybrid image retrieval framework that fuses visual features and textual features at a decision level and further supports similar image retrieval and multi-keyword image retrieval. Second, we construct a new hybrid inverted index structure to distinguish high-frequency terms from low-frequency terms and index them through hierarchical index trees and data blocks, respectively, which greatly improves query efficiency. Third, we design a prime encoding-based multi-keyword query method that converts mapping operations in bloom filters into inner product calculations, and further implements secure multi-keyword image query. Experiments against the Baseline schemes are conducted to verify the performance of the scheme in terms of high efficiency.<\/jats:p>","DOI":"10.1093\/comjnl\/bxad117","type":"journal-article","created":{"date-parts":[[2023,12,9]],"date-time":"2023-12-09T04:24:15Z","timestamp":1702095855000},"page":"1979-1992","source":"Crossref","is-referenced-by-count":8,"title":["Privacy-Preserving Image Retrieval with Multi-Modal Query"],"prefix":"10.1093","volume":"67","author":[{"given":"Fucai","family":"Zhou","sequence":"first","affiliation":[{"name":"Software College, Northeastern University , Shenyang 110819, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongye","family":"Zhang","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University , Shenyang 110819, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruiwei","family":"Hou","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University , Shenyang 110819, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,12,7]]},"reference":[{"key":"2024062312373213400_ref1","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1145\/3297001.3297007","article-title":"An approach for multimodal medical image retrieval using latent dirichlet allocation","volume-title":"Proceedings of the ACM India Joint International Conference on Data Science and Management of Data","author":"Vikram","year":"2019"},{"key":"2024062312373213400_ref2","doi-asserted-by":"crossref","first-page":"6070","DOI":"10.1109\/JBHI.2022.3207502","article-title":"Multi-modal understanding and generation for medical images and text via vision-language pre-training","volume":"26","author":"Moon","year":"2022","journal-title":"IEEE J. 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