{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T15:44:52Z","timestamp":1762875892607,"version":"3.37.3"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,7,29]],"date-time":"2017-07-29T00:00:00Z","timestamp":1501286400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61173163","61370200"],"award-info":[{"award-number":["61173163","61370200"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672130"],"award-info":[{"award-number":["61672130"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1007\/s11760-017-1152-1","type":"journal-article","created":{"date-parts":[[2017,7,29]],"date-time":"2017-07-29T04:54:12Z","timestamp":1501304052000},"page":"247-254","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval"],"prefix":"10.1007","volume":"12","author":[{"given":"Laihang","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huibing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenglan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,29]]},"reference":[{"issue":"1","key":"1152_CR1","doi-asserted-by":"crossref","first-page":"6204","DOI":"10.1109\/ACCESS.2016.2607841","volume":"4","author":"L Yu","year":"2016","unstructured":"Yu, L., Feng, L., Chen, C., Qiu, T., Li, L., Wu, J.: A novel multi-feature representation of images for heterogeneous iots. IEEE Access. 4(1), 6204\u20136215 (2016)","journal-title":"IEEE Access."},{"issue":"1","key":"1152_CR2","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/s11760-014-0681-0","volume":"8","author":"A Bozkurt","year":"2014","unstructured":"Bozkurt, A., Suhre, A., Cetin, A.E.: Multi-scale directional-filtering-based method for follicular lymphoma grading. SIViP 8(1), 63\u201370 (2014)","journal-title":"SIViP"},{"issue":"1","key":"1152_CR3","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1109\/TPAMI.2015.2430329","volume":"38","author":"WG Zhou","year":"2016","unstructured":"Zhou, W.G., Yang, M., Wang, X.Y., Li, H.Q., Lin, Y.Q., Tian, Q.: Scalable feature matching by dual cascaded scalar quantization for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 38(1), 159\u2013171 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"1152_CR4","doi-asserted-by":"crossref","first-page":"2827","DOI":"10.1109\/TIP.2015.2421443","volume":"24","author":"JH Tang","year":"2015","unstructured":"Tang, J.H., Li, Z.C., Wang, M., Zhao, R.Z.: Neighborhood discriminant hashing for large-scale image retrieval. IEEE Trans. Image Process. 24(9), 2827\u20132840 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"1152_CR5","first-page":"1097","volume-title":"Advances in Neural Information Processing Systems","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 1097\u20131105. Curran Associates, Inc., Red Hook (2012)"},{"key":"1152_CR6","doi-asserted-by":"crossref","unstructured":"Wu, P., Steven, C.H., Zhao, P., et\u00a0al.: Online multimodal deep similarity learning with application to image retrieval. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 153\u2013162. ACM (2013)","DOI":"10.1145\/2502081.2502112"},{"key":"1152_CR7","unstructured":"Krizhevsky, A., Hinton, G.E.: Using very deep autoencoders for content-based image retrieval. In: ESANN, pp. 489\u2013494 (2011)"},{"key":"1152_CR8","doi-asserted-by":"crossref","unstructured":"Torralba, A., Fergus, R., Weiss, Y.; Small codes and large image databases for recognition. In: IEEE Conference on Computer Vision and Pattern Recognition CVPR, pp. 1\u20138. IEEE (2008)","DOI":"10.1109\/CVPR.2008.4587633"},{"key":"1152_CR9","doi-asserted-by":"crossref","unstructured":"Wan, J., Wang, D., Steven, C.H., et\u00a0al.: Deep learning for content-based image retrieval: a comprehensive study. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 157\u2013166. ACM (2014)","DOI":"10.1145\/2647868.2654948"},{"key":"1152_CR10","unstructured":"Krizhevsky, A., Hinton, G.E.: Learning multiple layers of features from tiny images. Technical Report, University of Toronto (2009)"},{"key":"1152_CR11","doi-asserted-by":"publisher","unstructured":"Song, T., Li, H., Meng, F., Wu, Q., Cai, J.: Letrist: locally encoded transform feature histogram for rotation-invariant texture classification. IEEE Trans. Circuits. Syst. Video Technol. (2017). doi: 10.1109\/TCSVT.2017.2671899","DOI":"10.1109\/TCSVT.2017.2671899"},{"issue":"8","key":"1152_CR12","first-page":"3636","volume":"26","author":"Y Duan","year":"2017","unstructured":"Duan, Y., Lu, J., Feng, J., Zhou, J.: Learning rotation-invariant local binary descriptor. IEEE Trans. Image Process. 26(8), 3636\u20133651 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"1152_CR13","doi-asserted-by":"crossref","first-page":"2554","DOI":"10.1016\/j.patcog.2015.02.005","volume":"48","author":"GH Liu","year":"2015","unstructured":"Liu, G.H., Yang, J.Y., Li, Z.: Content-based image retrieval using computational visual attention model. Pattern Recogn. 48(8), 2554\u20132566 (2015)","journal-title":"Pattern Recogn."},{"key":"1152_CR14","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.dsp.2016.02.002","volume":"51","author":"M Verma","year":"2016","unstructured":"Verma, M., Raman, B.: Local tri-directional patterns: a new texture feature descriptor for image retrieval. Digit. Sig. Proc. 51, 62\u201372 (2016)","journal-title":"Digit. Sig. Proc."},{"key":"1152_CR15","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Zhong, G., Liu, J., Cai, X., Dong, J.: Visual texture perception with feature learning models and deep architectures. In: Chinese Conference on Pattern Recognition, pp. 401\u2013410. Springer (2014)","DOI":"10.1007\/978-3-662-45646-0_41"},{"issue":"6","key":"1152_CR16","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1109\/TSMCC.2011.2118750","volume":"41","author":"D Huang","year":"2011","unstructured":"Huang, D., Shan, C., Ardabilian, M., Wang, Y., Chen, L.: Local binary patterns and its application to facial image analysis: a survey. IEEE Trans. Syst. Man Cybern. C: Appl. Rev. 41(6), 765\u2013781 (2011)","journal-title":"IEEE Trans. Syst. Man Cybern. C: Appl. Rev."},{"key":"1152_CR17","doi-asserted-by":"crossref","unstructured":"Murala, S., Wu, Q., Balasubramanian, R., Maheshwari, R.; Joint histogram between color and local extrema patterns for object tracking. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 8663, pp. 1\u20137 (2013)","DOI":"10.1117\/12.2002185"},{"issue":"6","key":"1152_CR18","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1109\/TIP.2010.2042645","volume":"19","author":"X Tan","year":"2010","unstructured":"Tan, X., Triggs, B.: Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Trans. Image Process. 19(6), 1635\u20131650 (2010)","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"1152_CR19","doi-asserted-by":"crossref","first-page":"1467","DOI":"10.1016\/j.sigpro.2011.12.005","volume":"92","author":"M Subrahmanyam","year":"2012","unstructured":"Subrahmanyam, M., Maheshwari, R., Balasubramanian, R.: Local maximum edge binary patterns: a new descriptor for image retrieval and object tracking. Sig. Process. 92(6), 1467\u20131479 (2012)","journal-title":"Sig. Process."},{"issue":"10","key":"1152_CR20","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.neucom.2015.03.015","volume":"180","author":"M Verma","year":"2015","unstructured":"Verma, M., Raman, B., Murala, S.: Local extrema co-occurrence pattern for color and texture image retrieval. Neurocomputing 180(10), 255\u2013269 (2015)","journal-title":"Neurocomputing"},{"issue":"3","key":"1152_CR21","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/s13735-012-0008-2","volume":"1","author":"S Murala","year":"2012","unstructured":"Murala, S., Maheshwari, R., Balasubramanian, R.: Directional local extrema patterns: a new descriptor for content based image retrieval. Int. J. Multimed. Inf. Retr. 1(3), 191\u2013203 (2012)","journal-title":"Int. J. Multimed. Inf. Retr."},{"key":"1152_CR22","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.jvcir.2016.02.016","volume":"38","author":"M Zhao","year":"2016","unstructured":"Zhao, M., Zhang, H., Sun, J.: A novel image retrieval method based on multi-trend structure descriptor. J. Vis. Commun. Image Represent. 38, 73\u201381 (2016)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"1","key":"1152_CR23","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.jestch.2015.06.008","volume":"19","author":"A Bala","year":"2016","unstructured":"Bala, A., Kaur, T.: Local texton xor patterns: a new feature descriptor for content-based image retrieval. Eng. Sci. Technol. Int. J. 19(1), 101\u2013112 (2016)","journal-title":"Eng. Sci. Technol. Int. J."},{"key":"1152_CR24","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.patrec.2015.11.019","volume":"71","author":"R Mehta","year":"2016","unstructured":"Mehta, R., Egiazarian, K.: Dominant rotated local binary patterns (DRLBP) for texture classification. Pattern Recogn. Lett. 71, 16\u201322 (2016)","journal-title":"Pattern Recogn. Lett."},{"key":"1152_CR25","unstructured":"Nanni, L., Brahnam, S., Ghidoni, S., Menegatti, E.: Improving the descriptors extracted from the co-occurrence matrix using preprocessing approaches. Expert Syst. Appl. 42(22), 8989\u20139000 (2015)"},{"key":"1152_CR26","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.neucom.2012.09.042","volume":"120","author":"FR Siqueira de","year":"2013","unstructured":"de Siqueira, F.R., Schwartz, W.R., Pedrini, H.: Multi-scale gray level co-occurrence matrices for texture description. Neurocomputing 120, 336\u2013345 (2013)","journal-title":"Neurocomputing"},{"key":"1152_CR27","doi-asserted-by":"crossref","unstructured":"Papushoy, A., Bors, A.G.: Content based image retrieval based on modelling human visual attention. In: Azzopardi, G., Petkov, N. (eds.) Computer analysis of images and patterns. CAIP 2015, Valetta, Malta. Lecture notes in computer science, vol. 9256. Springer, Cham (2015)","DOI":"10.1007\/978-3-319-23192-1_12"},{"issue":"7","key":"1152_CR28","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.1007\/s00138-013-0558-1","volume":"25","author":"J Han","year":"2014","unstructured":"Han, J., Wang, D., Shao, L., Qian, X., Cheng, G., Han, J.: Image visual attention computation and application via the learning of object attributes. Mach. Vis. Appl. 25(7), 1671\u20131683 (2014)","journal-title":"Mach. Vis. Appl."},{"key":"1152_CR29","unstructured":"Wang, J.Z., Li, J., Wiederhold, G.: Simplicity: semantics-sensitive integrated matching for picture libraries. IEEE Trans. Pattern Anal. Mach. Intell. 23(9), 947\u2013963 (2001)"},{"key":"1152_CR30","doi-asserted-by":"crossref","unstructured":"Herve\u00a0Jegou, M.D., Schmid, C.: Hamming embedding and weak geometry consistency for large scale image search. In: Proceedings of the 10th European conference on Computer Vision, vol. 6709, p. 27 (2008)","DOI":"10.1007\/978-3-540-88682-2_24"},{"key":"1152_CR31","unstructured":"Nene, S.A., Nayar, S.K., Murase, H.: Columbia object image library (coil-100). Technical Report CUCS-006-96 (1996)"},{"key":"1152_CR32","first-page":"1","volume":"20","author":"H Wang","year":"2015","unstructured":"Wang, H., Feng, L., Liu, Y.: Metric learning with geometric mean for similarities measurement. Soft Comput. 20, 1\u201311 (2015)","journal-title":"Soft Comput."},{"key":"1152_CR33","doi-asserted-by":"crossref","first-page":"1579","DOI":"10.1109\/TMM.2016.2569412","volume":"18","author":"H Wang","year":"2016","unstructured":"Wang, H., Feng, L., Zhang, J., Liu, Y.: Semantic discriminative metric learning for image similarity measurement. IEEE Trans. Multimed. 18, 1579\u20131589 (2016)","journal-title":"IEEE Trans. Multimed."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-017-1152-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1152-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1152-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T16:06:13Z","timestamp":1569945973000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-017-1152-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,29]]},"references-count":33,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2018,2]]}},"alternative-id":["1152"],"URL":"https:\/\/doi.org\/10.1007\/s11760-017-1152-1","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2017,7,29]]}}}