{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T09:11:29Z","timestamp":1685351489559},"reference-count":2,"publisher":"National Library of Serbia","issue":"3","license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2011]]},"abstract":"<jats:p>Local features have been proved to be effective in image\/video semantic\n   analysis. The BOVW (bag of visual words) scheme can cluster local features to\n   form the visual vocabulary which includes an amount of words, where each word\n   is the center of one clustering feature. The vocabulary is used to recognize\n   the image semantic. In this paper, a new scheme to construct semantic-binding\n   hierarchical visual vocabulary is proposed. Some attributes and relationship\n   of the semantic nodes in the model are discussed. The hierarchical semantic\n   model is used to organize the multi-scale semantic into a level-by-level\n   structure. Experiments are performed based on the LabelMe dataset, the\n   performance of our scheme is evaluated and compared with the traditional BOVW\n   scheme, experimental results demonstrate the efficiency and flexibility of\n   our scheme.<\/jats:p>","DOI":"10.2298\/csis100423035j","type":"journal-article","created":{"date-parts":[[2011,7,7]],"date-time":"2011-07-07T11:10:09Z","timestamp":1310037009000},"page":"931-951","source":"Crossref","is-referenced-by-count":1,"title":["Multi-scale image semantic recognition with hierarchical visual vocabulary"],"prefix":"10.2298","volume":"8","author":[{"given":"Xinghao","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Information Security Engineering Shanghai Jiao Tong University, Shanghai, China + Key Lab. of Shanghai Information Security Management and Technology Research, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tanfeng","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Information Security Engineering Shanghai Jiao Tong University, Shanghai, China + Key Lab. of Shanghai Information Security Management and Technology Research, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fu","family":"Guanglei","sequence":"additional","affiliation":[{"name":"School of Information Security Engineering Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2008.2009692"}],"container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:30:19Z","timestamp":1685349019000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141100035J"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"references-count":2,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2011]]}},"URL":"https:\/\/doi.org\/10.2298\/csis100423035j","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}