{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T15:53:27Z","timestamp":1778601207876,"version":"3.51.4"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319124353","type":"print"},{"value":"9783319124360","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"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":[[2014]]},"DOI":"10.1007\/978-3-319-12436-0_63","type":"book-chapter","created":{"date-parts":[[2014,11,21]],"date-time":"2014-11-21T13:16:45Z","timestamp":1416575805000},"page":"568-575","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Fast and Effective Image Segmentation via Superpixels and Adaptive Thresholding"],"prefix":"10.1007","author":[{"given":"Yunsheng","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwen","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,11,19]]},"reference":[{"key":"63_CR1","unstructured":"MacQueen, J.: Some Methods for Classification and Analysis of Multivariate Observations. In: Berkeley Symposium on Mathematical Statistics and Probability, California, USA, vol. 1, pp. 281\u2013297 (1967)"},{"issue":"1","key":"63_CR2","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/TIT.1975.1055330","volume":"21","author":"K Fukunaga","year":"1975","unstructured":"Fukunaga, K., Hostetler, L.: The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition. IEEE Transactions on Information Theory 21(1), 32\u201340 (1975)","journal-title":"IEEE Transactions on Information Theory"},{"issue":"5","key":"63_CR3","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comaniciu","year":"2002","unstructured":"Comaniciu, D., Meer, P.: Mean Shift: A Robust Approach toward Feature Space Analysis. Pattern Analysis and Machine Intelligence 24(5), 603\u2013619 (2002)","journal-title":"Pattern Analysis and Machine Intelligence"},{"issue":"8","key":"63_CR4","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized Cuts and Image Segmentation. Pattern Analysis and Machine Intelligence 22(8), 888\u2013905 (2000)","journal-title":"Pattern Analysis and Machine Intelligence"},{"issue":"2","key":"63_CR5","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","volume":"59","author":"P Felzenszwalb","year":"2004","unstructured":"Felzenszwalb, P., Huttenlocher, D.: Efficient Graph-based Image Segmentation. International Journal of Computer Vision 59(2), 167\u2013181 (2004)","journal-title":"International Journal of Computer Vision"},{"issue":"5","key":"63_CR6","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2011","unstructured":"Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour Detection and Hierarchical Image Segmentation. Pattern Analysis and Machine Intelligence 33(5), 898\u2013916 (2011)","journal-title":"Pattern Analysis and Machine Intelligence"},{"key":"63_CR7","doi-asserted-by":"crossref","unstructured":"Ren, X., Malik, J.: Learning A Classification Model for Segmentation. In: International Conference on Computer Vision, vol. 1, 10\u201317 (2003)","DOI":"10.1109\/ICCV.2003.1238308"},{"issue":"11","key":"63_CR8","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Susstrunk, S.: Slic Superpixels Compared to State-of-the-art Superpixel Methods. Pattern Analysis and Machine Intelligence 34(11), 2274\u20132282 (2012)","journal-title":"Pattern Analysis and Machine Intelligence"},{"key":"63_CR9","doi-asserted-by":"crossref","unstructured":"Cour, T., Benezit, F., Shi, J.: Spectral Segmentation with Multiscale Graph Decomposition. In: Computer Vision and Pattern Recognition, vol. 2, pp. 1124\u20131131 (2005)","DOI":"10.1109\/CVPR.2005.332"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2014"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-12436-0_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T20:11:52Z","timestamp":1747167112000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-12436-0_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319124353","9783319124360"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-12436-0_63","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"19 November 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}