{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:27:38Z","timestamp":1777854458036,"version":"3.51.4"},"reference-count":32,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2012,8,21]],"date-time":"2012-08-21T00:00:00Z","timestamp":1345507200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2012,10]]},"abstract":"<jats:p>In this paper, we are interested in XML multimedia retrieval, the aim of which is to find relevant multimedia objects such as images, audio and video through their context as document structure. In context-based multimedia retrieval, the most common technique is based on the text surrounding the image. However, such textual information can be irrelevant to the image content. Therefore many works are oriented to the use of alternative techniques to extend the image description, such as the use of ontologies, relevance feedback, and user profiles. We studied in our work the use of links between XML elements to improve image retrieval. More precisely, we propose dividing the document into regions through the document structure and image position. Then we weight links between these regions according to their hierarchical positions, in order to distinguish between links that are useful and those that are not useful. We then apply an updated version of the HITS algorithm at the region level, and compute a final image score by combining link scores with initial image scores. Experiments were done on the INEX 2006 and 2007 multimedia tracks, and showed the potential of our method.<\/jats:p>","DOI":"10.1177\/0165551512445851","type":"journal-article","created":{"date-parts":[[2012,8,21]],"date-time":"2012-08-21T22:03:50Z","timestamp":1345586630000},"page":"442-458","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Combination of document structure and links for multimedia object retrieval"],"prefix":"10.1177","volume":"38","author":[{"given":"Hatem","family":"Aouadi","sequence":"first","affiliation":[{"name":"University of Sfax, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mouna","family":"Torjmen-Khemakhem","sequence":"additional","affiliation":[{"name":"University of Sfax, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maher Ben","family":"Jemaa","sequence":"additional","affiliation":[{"name":"University of Sfax, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2012,8,21]]},"reference":[{"key":"bibr1-0165551512445851","first-page":"668","volume-title":"SODA \u201998, Proceedings of the 9th Annual ACM-SIAM Symposium on Discrete Algorithms","author":"Kleinberg J"},{"key":"bibr2-0165551512445851","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7552(98)00110-X"},{"key":"bibr3-0165551512445851","author":"Page L","journal-title":"The PageRank citation ranking: Bringing order to the web"},{"key":"bibr4-0165551512445851","first-page":"167","volume-title":"ICML \u201900: Proceedings of the 17th International Conference on Machine Learning","author":"Cohn D"},{"key":"bibr5-0165551512445851","volume-title":"Proceedings of the SIAM Data Mining Conference Workshop on Link Analysis, Counterterrorism and Security","author":"Kolda T"},{"key":"bibr6-0165551512445851","first-page":"471","volume-title":"SIGIR \u201907: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Najork M"},{"key":"bibr7-0165551512445851","volume-title":"Proceedings of TREC 2004","author":"Nick HZ"},{"key":"bibr8-0165551512445851","first-page":"440","volume-title":"SIGIR \u201904: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Cai D"},{"key":"bibr9-0165551512445851","first-page":"567","volume-title":"Proceedings of the 14th International World Wide Web Conference","author":"Nie Z"},{"key":"bibr10-0165551512445851","first-page":"350","volume-title":"Proceedings of the 12th International World Wide Web Conference","author":"Tomlin J"},{"key":"bibr11-0165551512445851","doi-asserted-by":"publisher","DOI":"10.1016\/S1389-1286(00)00034-7"},{"key":"bibr12-0165551512445851","first-page":"350","volume-title":"ECIR \u201909: Proceedings of the 31st European Conference on IR Research on Advances in Information Retrieval","author":"Li J"},{"key":"bibr13-0165551512445851","first-page":"9","volume-title":"Proceedings of SIGMOD \u20192003","author":"Lin G"},{"key":"bibr14-0165551512445851","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85902-4_33"},{"key":"bibr15-0165551512445851","first-page":"270","volume-title":"Advances in information retrieval: Proceedings of the 30th European Conference on IR Research (ECIR 2008)","author":"Kamps J"},{"key":"bibr16-0165551512445851","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73888-6_25"},{"key":"bibr17-0165551512445851","unstructured":"Dunlop M. 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