{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:52:33Z","timestamp":1742939553625,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030519346"},{"type":"electronic","value":"9783030519353"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-51935-3_32","type":"book-chapter","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T06:03:34Z","timestamp":1594188214000},"page":"299-307","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Graph-Based Image Retrieval: State of the Art"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9625-8860","authenticated-orcid":false,"given":"Imane","family":"Belahyane","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6400-2732","authenticated-orcid":false,"given":"Mouad","family":"Mammass","sequence":"additional","affiliation":[]},{"given":"Hasna","family":"Abioui","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1396-2236","authenticated-orcid":false,"given":"Ali","family":"Idarrou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"issue":"1","key":"32_CR1","first-page":"14","volume":"51","author":"A Idarrou","year":"2012","unstructured":"Idarrou, A., Mammass, D.: Structural clustering multimedia documents: an approach based on semantic sub-graph isomorphism. Int. J. Comput. Appl. 51(1), 14\u201321 (2012)","journal-title":"Int. J. Comput. Appl."},{"issue":"2","key":"32_CR2","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.media.2013.11.003","volume":"18","author":"A Kumar","year":"2014","unstructured":"Kumar, A., Kim, J., Wen, L., Fulham, M., Feng, D.: A graph-based approach for the retrieval of multi-modality medical images. Med. Image Anal. 18(2), 330\u2013342 (2014)","journal-title":"Med. Image Anal."},{"issue":"1","key":"32_CR3","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/TKDE.2013.70","volume":"27","author":"X Bin","year":"2013","unstructured":"Bin, X., Jiajun, B., Chen, C., Wang, C., Cai, D., He, X.: EMR: a scalable graph-based ranking model for content-based image retrieval. IEEE Trans. Knowl. Data Eng. 27(1), 102\u2013114 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"32_CR4","unstructured":"Hern\u00e1ndez-Gracidas, C., Enrique Sucar, L., Montes-y G\u00f3mez, M.: Modeling spatial relations for image retrieval by conceptual graphs. In: Proceedings of the First Chilean Workshop on Pattern Recognition (2009)"},{"issue":"3","key":"32_CR5","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1109\/TMM.2008.917421","volume":"10","author":"C-Y Li","year":"2008","unstructured":"Li, C.-Y., Hsu, C.-T.: Image retrieval with relevance feedback based on graph-theoretic region correspondence estimation. IEEE Trans. Multimed. 10(3), 447\u2013456 (2008)","journal-title":"IEEE Trans. Multimed."},{"key":"32_CR6","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.neucom.2016.03.081","volume":"208","author":"DCG Pedronette","year":"2016","unstructured":"Pedronette, D.C.G., Torres, R.D.S.: A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing 208, 66\u201379 (2016)","journal-title":"Neurocomputing"},{"key":"32_CR7","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.patcog.2017.05.009","volume":"75","author":"DCG Pedronette","year":"2018","unstructured":"Pedronette, D.C.G., Gon\u00e7alves, F.M.F., Guilherme, I.R.: Unsupervised manifold learning through reciprocal KNN graph and connected components for image retrieval tasks. Pattern Recognit. 75, 161\u2013174 (2018)","journal-title":"Pattern Recognit."},{"issue":"03","key":"32_CR8","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1142\/S0218001404003228","volume":"18","author":"D Conte","year":"2004","unstructured":"Conte, D., Foggia, P., Sansone, C., Ven-to, M.: Thirty years of graph matching in pattern recognition. Int. J. Pattern Recognit. Artif. Intell. 18(03), 265\u2013298 (2004)","journal-title":"Int. J. Pattern Recognit. Artif. Intell."},{"issue":"03","key":"32_CR9","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1142\/S0218001404003216","volume":"18","author":"D Hidovi\u0107","year":"2004","unstructured":"Hidovi\u0107, D., Pelillo, M.: Metrics for attributed graphs based on the maximal similarity common subgraph. Int. J. Pattern Recognit. Artif. Intell. 18(03), 299\u2013313 (2004)","journal-title":"Int. J. Pattern Recognit. Artif. Intell."},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Boubekeur, F., Boughanem, M., Tamine-Lechani, L.: Semantic information retrieval based on CP-nets. In: 2007 IEEE International Fuzzy Systems Conference, pp. 1\u20137. IEEE (2007)","DOI":"10.1109\/FUZZY.2007.4295470"},{"key":"32_CR11","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.eswa.2017.08.035","volume":"91","author":"FMF Gon\u00e7alves","year":"2018","unstructured":"Gon\u00e7alves, F.M.F., Guilherme, I.R., Pedronette, D.C.G.: Semantic guided interactive image retrieval for plant identification. Expert Syst. Appl. 91, 12\u201326 (2018)","journal-title":"Expert Syst. Appl."},{"key":"32_CR12","unstructured":"Salton, G., et al.: The smart system-experiments in automatic document processing (1971)"},{"key":"32_CR13","doi-asserted-by":"crossref","unstructured":"Salton, G.: Recent trends in automatic information retrieval. In: Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1\u201310. ACM (1986)","DOI":"10.1145\/253168.253171"},{"issue":"8","key":"32_CR14","doi-asserted-by":"publisher","first-page":"2554","DOI":"10.1016\/j.patcog.2015.02.005","volume":"48","author":"G-H Liu","year":"2015","unstructured":"Liu, G.-H., Yang, J.-Y., Li, Z.Y.: Content-based image retrieval using computational visual attention model. Pattern Recognit. 48(8), 2554\u20132566 (2015)","journal-title":"Pattern Recognit."},{"key":"32_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/978-3-319-94211-7_15","volume-title":"Image and Signal Processing","author":"H Abioui","year":"2018","unstructured":"Abioui, H., Idarrou, A., Bouzit, A., Mammass, D.: Review: automatic image annotation for semantic image retrieval. In: Mansouri, A., El Moataz, A., Nouboud, F., Mammass, D. (eds.) ICISP 2018. LNCS, vol. 10884, pp. 129\u2013137. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-94211-7_15"},{"issue":"6","key":"32_CR16","doi-asserted-by":"publisher","first-page":"1308","DOI":"10.1016\/j.jvcir.2014.05.003","volume":"25","author":"H-Y Yang","year":"2014","unstructured":"Yang, H.-Y., Li, Y.-W., Li, W.-Y., Wang, X.-Y., Yang, F.-Y.: Content-based image retrieval using local visual attention feature. J. Vis. Commun. Image Represent. 25(6), 1308\u20131323 (2014)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"3\u20134","key":"32_CR17","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/S0167-8655(97)00179-7","volume":"19","author":"H Bunke","year":"1998","unstructured":"Bunke, H., Shearer, K.: A graph distance metric based on the maximal common subgraph. Pattern Recognit. Lett. 19(3\u20134), 255\u2013259 (1998)","journal-title":"Pattern Recognit. Lett."},{"key":"32_CR18","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1016\/j.compeleceng.2016.09.031","volume":"58","author":"H Chen","year":"2017","unstructured":"Chen, H., Trouve, A., Murakami, K.J., Fukuda, A.: An intelligent annotation-based image retrieval system based on RDF descriptions. Comput. Electr. Eng. 58, 537\u2013550 (2017)","journal-title":"Comput. Electr. Eng."},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Urban, J., Jose, J.M.: Adaptive image retrieval using a graph model for semantic feature integration. In: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval, pp. 117\u2013126. ACM (2006)","DOI":"10.1145\/1178677.1178696"},{"key":"32_CR20","unstructured":"H\u2019roura, J.: Contributions \u00e0 l\u2019extraction de descripteureurs sur des donn\u00e9es non conventionnelles pour a reconnaissance d\u2019objets 3D. Ph.D. thesis, Universit\u00e9 Ibn Zohr (2019)"},{"key":"32_CR21","doi-asserted-by":"crossref","unstructured":"Johnson, J., et al.: Image retrieval using scene graphs. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3668\u20133678 (2015)","DOI":"10.1109\/CVPR.2015.7298990"},{"key":"32_CR22","doi-asserted-by":"crossref","unstructured":"Shieh, J.-R., Yeh, Y.-T., Lin, C.-H., Lin, C.-Y., Wu, J.-L.: Collaborative knowledge semantic graph image search. In: Proceedings of the 17th International Conference on World Wide Web, pp. 1055\u20131056. ACM (2008)","DOI":"10.1145\/1367497.1367653"},{"key":"32_CR23","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1016\/j.procs.2015.04.032","volume":"50","author":"K Jenni","year":"2015","unstructured":"Jenni, K., Mandala, S., Sunar, M.S.: Content based image retrieval using colour strings comparison. Procedia Comput. Sci. 50, 374\u2013379 (2015)","journal-title":"Procedia Comput. Sci."},{"key":"32_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1007\/978-3-540-73351-5_21","volume-title":"Natural Language Processing and Information Systems","author":"L Maisonnasse","year":"2007","unstructured":"Maisonnasse, L., Chevallet, J.P., Berrut, C.: Incomplete and fuzzy conceptual graphs to automatically index medical reports. In: Kedad, Z., Lammari, N., M\u00e9tais, E., Meziane, F., Rezgui, Y. (eds.) NLDB 2007. LNCS, vol. 4592, pp. 240\u2013251. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-73351-5_21"},{"key":"32_CR25","unstructured":"La Cascia, M., Sethi, S., Sclaroff, S.: Combining textual and visual cues for content-based image retrieval on the World Wide Web. In: Proceedings of IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No. 98EX173), pp. 24\u201328. IEEE (1998)"},{"issue":"6","key":"32_CR26","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1016\/j.ipm.2013.06.001","volume":"49","author":"M Torjmen-Khemakhem","year":"2013","unstructured":"Torjmen-Khemakhem, M., Pinel-Sauvagnat, K., Boughanem, M.: Investigating the document structure as a source of evidence for multimedia fragment retrieval. Inf. Process. Manag. 49(6), 1281\u20131300 (2013)","journal-title":"Inf. Process. Manag."},{"key":"32_CR27","unstructured":"Mechkour, M., Berrut, C., Chiaramella, Y.: Using conceptual graph frame work for image retrieval. In: International Conference on MultiMedia Modeling (MMM 1995), Singapore, pp. 127\u2013142 (1995)"},{"key":"32_CR28","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/978-3-540-71258-9_10","volume-title":"Fuzzy Logic","author":"M Baziz","year":"2007","unstructured":"Baziz, M., Boughanem, M., Loiseau, Y., Prade, H.: Fuzzy logic and ontology-based information retrieval. In: Wang, P.P., Ruan, D., Kerre, E.E. (eds.) Fuzzy Logic, vol. 215, pp. 193\u2013218. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-71258-9_10"},{"key":"32_CR29","doi-asserted-by":"publisher","first-page":"1428","DOI":"10.1016\/j.procs.2016.08.188","volume":"96","author":"O Allani","year":"2016","unstructured":"Allani, O., Zghal, H.B., Mellouli, N., Akdag, H.: A knowledge-based image retrieval system integrating semantic and visual features. Procedia Comput. Sci. 96, 1428\u20131436 (2016)","journal-title":"Procedia Comput. Sci."},{"key":"32_CR30","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.knosys.2019.05.001","volume":"179","author":"S Unar","year":"2019","unstructured":"Unar, S., Wang, X., Wang, C., Wang, Y.: A decisive content based image retrieval approach for feature fusion in visual and textual images. Knowl.-Based Syst. 179, 8\u201320 (2019)","journal-title":"Knowl.-Based Syst."},{"key":"32_CR31","doi-asserted-by":"crossref","unstructured":"Schuster, S., Krishna, R., Chang, A., Fei-Fei, L., Manning, C.D.: Generating semantically precise scene graphs from textual descriptions for improved image retrieval. In: Proceedings of the Fourth Workshop on Vision and Language, pp. 70\u201380 (2015)","DOI":"10.18653\/v1\/W15-2812"},{"key":"32_CR32","unstructured":"Sorlin, S., Solnon, C.: Similarit\u00e9 de graphes: une mesure g\u00e9n\u00e9rique et un algorithme tabou r\u00e9actif (2005)"},{"key":"32_CR33","unstructured":"Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. In: Soviet Physics doklady, vol. 10, pp. 707\u2013710 (1966)"},{"key":"32_CR34","unstructured":"Li, X., Chen, S.-C., Shyu, M.-L., Furht, B.: An effective content-based visual image retrieval system. In: Proceedings 26th Annual International Computer Software and Applications, pp. 914\u2013919. IEEE (2002)"},{"issue":"5","key":"32_CR35","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1109\/76.718510","volume":"8","author":"Y Rui","year":"1998","unstructured":"Rui, Y., Huang, T.S., Ortega, M., Mehrotra, S.: Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Trans. Circuits Syst. Video Technol. 8(5), 644\u2013655 (1998)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"32_CR36","doi-asserted-by":"crossref","unstructured":"Rui, Y., Huang, T.S.: A novel relevance feedback technique in image retrieval (1999)","DOI":"10.1145\/319878.319896"}],"container-title":["Lecture Notes in Computer Science","Image and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-51935-3_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:46:20Z","timestamp":1710359180000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-51935-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030519346","9783030519353"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-51935-3_32","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":"8 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICISP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Signal Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","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":"4 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icisp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icisp-conf.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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"84","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":"40","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":"0","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":"48% - 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)"}},{"value":"The conference was cancelled due to the COVID-19 pandemic.","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}