{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:56:31Z","timestamp":1750308991535,"version":"3.41.0"},"reference-count":16,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2007,6,1]],"date-time":"2007-06-01T00:00:00Z","timestamp":1180656000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGKDD Explor. Newsl."],"published-print":{"date-parts":[[2007,6]]},"abstract":"<jats:p>\n            Biological videos are very different from conventional videos. Automatic spatiotemporal mining of moving cells from in vivo microscopy videos is extremely difficult because of the severe noises, camera\/subject movements, deformations, and strong dependencies on microscopy operators. In this paper, we present an automatic spatiotemporal mining system of rolling and adherent leukocytes for intravital videos. The magnitude of leukocyte adhesion and decrease in rolling velocity are common interests in inflammation response studies. Currently, there is no existing system which is perfect for such purposes. Several approaches have been proposed for tracking leukocytes. However, these approaches can either only track leukocytes that roll along the centerline of the blood vessel, or can only handle leukocytes with fixed morphologies. In addition, the camera\/subject movement is a severe problem which occurs frequently while analyzing\n            <jats:italic>in vivo<\/jats:italic>\n            microscopy videos. In this paper, we proposed a new method for automatic recognition of non-adherent and adherent leukocytes. The proposed method includes three steps: (1) camera\/subject movement alignment; (2) moving leukocytes detection; (3) adherent leukocytes detection. The experimental results demonstrate the effectiveness of the proposed method.\n          <\/jats:p>","DOI":"10.1145\/1294301.1294309","type":"journal-article","created":{"date-parts":[[2007,10,12]],"date-time":"2007-10-12T15:47:29Z","timestamp":1192204049000},"page":"30-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Automatic\n            <i>in vivo<\/i>\n            microscopy video mining for leukocytes"],"prefix":"10.1145","volume":"9","author":[{"given":"Chengcui","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Alabama at Birmingham, Alabama"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Bang","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Alabama at Birmingham, Alabama"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Alabama at Birmingham, Alabama"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Alabama at Birmingham, Alabama"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John K.","family":"Johnstone","sequence":"additional","affiliation":[{"name":"University of Alabama at Birmingham, Alabama"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2007,6]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_1_1_1","DOI":"10.1006\/mvre.2001.2373"},{"doi-asserted-by":"publisher","key":"e_1_2_1_2_1","DOI":"10.1016\/j.mvr.2006.03.003"},{"doi-asserted-by":"publisher","key":"e_1_2_1_3_1","DOI":"10.5555\/794189.794431"},{"key":"e_1_2_1_4_1","first-page":"4","article-title":"Neural network for time series processing","volume":"6","author":"Dorffner G","year":"1996","unstructured":"Dorffner , G . 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Cambridge University Press, 2003."},{"doi-asserted-by":"publisher","key":"e_1_2_1_9_1","DOI":"10.1016\/0092-8674(91)90393-D"},{"doi-asserted-by":"publisher","key":"e_1_2_1_10_1","DOI":"10.5555\/850924.851523"},{"doi-asserted-by":"publisher","key":"e_1_2_1_11_1","DOI":"10.1109\/TPAMI.2005.188"},{"doi-asserted-by":"publisher","key":"e_1_2_1_12_1","DOI":"10.1109\/TSMC.1979.4310076"},{"doi-asserted-by":"publisher","key":"e_1_2_1_14_1","DOI":"10.1667\/RR3361"},{"key":"e_1_2_1_15_1","volume-title":"International Workshop RobVis","author":"Mclvor A.","year":"2001","unstructured":"Mclvor , A. , Zang , Q. , and Klette , R . The background subtraction problem for video surveillance systems. Lecture Notes in Computer Science, Springer Berlin \/ Heidelberg , International Workshop RobVis , ( Auckland, New Zealand , 2001 ), 176--188. Mclvor, A., Zang, Q., and Klette, R. The background subtraction problem for video surveillance systems. Lecture Notes in Computer Science, Springer Berlin \/ Heidelberg, International Workshop RobVis, (Auckland, New Zealand, 2001), 176--188."},{"doi-asserted-by":"publisher","key":"e_1_2_1_16_1","DOI":"10.1016\/S0006-3495(97)78139-6"},{"doi-asserted-by":"publisher","key":"e_1_2_1_17_1","DOI":"10.1016\/S0006-3495(94)80939-7"}],"container-title":["ACM SIGKDD Explorations Newsletter"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1294301.1294309","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1294301.1294309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T21:41:18Z","timestamp":1750282878000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1294301.1294309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,6]]},"references-count":16,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2007,6]]}},"alternative-id":["10.1145\/1294301.1294309"],"URL":"https:\/\/doi.org\/10.1145\/1294301.1294309","relation":{},"ISSN":["1931-0145","1931-0153"],"issn-type":[{"type":"print","value":"1931-0145"},{"type":"electronic","value":"1931-0153"}],"subject":[],"published":{"date-parts":[[2007,6]]},"assertion":[{"value":"2007-06-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}