乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T10:48:11Z","timestamp":1744800491161},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T00:00:00Z","timestamp":1501545600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers & Electrical Engineering"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1016\/j.compeleceng.2016.11.008","type":"journal-article","created":{"date-parts":[[2016,11,22]],"date-time":"2016-11-22T09:18:18Z","timestamp":1479806298000},"page":"485-498","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":32,"special_numbering":"C","title":["Dynamic texture recognition using multiresolution edge-weighted local structure pattern"],"prefix":"10.1016","volume":"62","author":[{"given":"Deepshikha","family":"Tiwari","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4994-3686","authenticated-orcid":false,"given":"Vipin","family":"Tyagi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compeleceng.2016.11.008_bib0001","series-title":"Proceedings of the international conference on pattern recognition","first-page":"594","article-title":"Edge-based texture measures for surface inspection","author":"Ojala","year":"1992"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0002","series-title":"Proceedings of the European conference on computer vision","first-page":"223","article-title":"Maximum margin distance learning for dynamic texture recognition","author":"Ghanem","year":"2010"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0003","series-title":"Proceedings of the workshop on dynamical vision WDV 2005\/2006, LNCS","first-page":"165","article-title":"Dynamic texture recognition using volume local binary patterns","volume":"4358","author":"Zhao","year":"2007"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0004","series-title":"Proceedings of the IEEE transactions on pattern analysis and machine intelligence","first-page":"915","article-title":"Dynamic texture recognition using local binary patterns with an application to facial expressions","volume":"29","author":"Zhao","year":"2007"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0005","series-title":"Proceedings of the IEEE international conference on acoustics, speech, and signal processing (ICASSP)","first-page":"2400","article-title":"Dynamic texture recognition using enhanced LBP features","author":"Ren","year":"2013"},{"issue":"11","key":"10.1016\/j.compeleceng.2016.11.008_bib0006","doi-asserted-by":"crossref","first-page":"1346","DOI":"10.1109\/LSP.2014.2336252","article-title":"Optimizing LBP structure for visual recognition using binary quadratic programming","volume":"21","author":"Ren","year":"2014","journal-title":"IEEE Signal Process Lett"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0007","doi-asserted-by":"crossref","unstructured":"Tiwari D, Tyagi V. Dynamic texture recognition based on completed volume local binary pattern. Multidimens Syst Signal Process, DOI 10.1007\/s11045-015-0319-6.","DOI":"10.1007\/s11045-015-0319-6"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0008","article-title":"Improved Weber's law based local binary pattern for dynamic texture recognition","author":"Tiwari","year":"2016","journal-title":"Multimed Tools Appl"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2016.04.010","article-title":"A Novel LBP Based Scheme for Dynamic Texture Recognition","author":"Tiwari","year":"2016","journal-title":"Comput Vis Image Underst"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0010","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/1049-9660(92)90087-J","article-title":"Qualitative recognition of motion using temporal texture","volume":"56","author":"Nelson","year":"1992","journal-title":"CVGIP Image Underst"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0011","series-title":"Proceedings of the IEEE international conference on computer vision (ICCV)","first-page":"1219","article-title":"Dynamic texture classification using dynamic fractal analysis","author":"Xu","year":"2011"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0012","series-title":"Proceedings of the IEEE computer vision and pattern recognition","first-page":"1","article-title":"Classifying video with kernel dynamic textures","author":"Chan","year":"2007"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0013","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)","first-page":"1651","article-title":"View-invariant dynamic texture recognition using a bag of dynamical systems","author":"Ravichandran","year":"2009"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0014","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"58","article-title":"Dynamic texture recognition","volume":"2","author":"Saisan","year":"2001"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0015","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.neucom.2014.12.001","article-title":"Exploiting high level feature for dynamic textures recognition","volume":"154","author":"Wang","year":"2015","journal-title":"Neurocomputing"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0016","article-title":"Chaotic features for dynamic textures recognition","author":"Wang","year":"2016","journal-title":"Soft Comput"},{"issue":"1","key":"10.1016\/j.compeleceng.2016.11.008_bib0017","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1109\/TIP.2012.2214040","article-title":"Wavelet domain multifractal analysis for static and dynamic texture classification","volume":"22","author":"Ji","year":"2013","journal-title":"IEEE Trans Image Process"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0018","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1016\/j.cviu.2012.05.003","article-title":"Scale-space texture description on SIFT-like textons","volume":"116","author":"Xu","year":"2012","journal-title":"Comput Vis Image Underst"},{"issue":"12","key":"10.1016\/j.compeleceng.2016.11.008_bib0019","doi-asserted-by":"crossref","first-page":"2353","DOI":"10.1109\/TPAMI.2014.2339851","article-title":"Discriminative non-linear stationary subspace analysis for video classification","volume":"36","author":"Baktashmotlagh","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"10.1016\/j.compeleceng.2016.11.008_bib0020","doi-asserted-by":"crossref","first-page":"2099","DOI":"10.1109\/TMM.2014.2362855","article-title":"Dynamic texture recognition using multiscale binarized statistical image features","volume":"16","author":"Arashloo","year":"2014","journal-title":"IEEE Trans Multimed"},{"issue":"4","key":"10.1016\/j.compeleceng.2016.11.008_bib0021","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1007\/s11760-013-0532-4","article-title":"Characterization and recognition of dynamic textures based on the 2d+t curvelet transform","volume":"9","author":"Dubois","year":"2015","journal-title":"Signal Image Video Process"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0022","first-page":"437","article-title":"Video texture indexing using spatiotemporal wavelets","volume":"2","author":"Smith","year":"2002","journal-title":"Proc Int Conf Image Process"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0023","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/978-81-322-2752-6_36","article-title":"Dynamic texture recognition: A review","volume":"434","author":"Tiwari","year":"2016","journal-title":"Adv Intell Syst Comput"},{"issue":"7","key":"10.1016\/j.compeleceng.2016.11.008_bib0024","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","article-title":"Multiresolution gray-scale and rotation invariant texture classification with local binary patterns","volume":"24","author":"Ojala","year":"2002","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"16","key":"10.1016\/j.compeleceng.2016.11.008_bib0025","first-page":"1657","article-title":"A completed modeling of local binary pattern operator for texture classification","volume":"9","author":"Guo","year":"2010","journal-title":"IEEE Trans Image Process"},{"key":"10.1016\/j.compeleceng.2016.11.008_bib0026","series-title":"Proceedings of the IEEE international symposium on circuits and systems (ISCAS)","first-page":"978","article-title":"Gradient local binary patterns for human detection","author":"Jiang","year":"2013"},{"issue":"2","key":"10.1016\/j.compeleceng.2016.11.008_bib0027","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/34.982906","article-title":"A theoretical study on six classifier fusion strategies","volume":"24","author":"Kuncheva","year":"2002","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"12","key":"10.1016\/j.compeleceng.2016.11.008_bib0028","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1016\/j.patrec.2010.05.009","article-title":"DynTex: A comprehensive database of dynamic textures","volume":"31","author":"P\u00e9teri","year":"2010","journal-title":"Pattern Recognit Lett"},{"issue":"6","key":"10.1016\/j.compeleceng.2016.11.008_bib0029","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1109\/TPAMI.2011.221","article-title":"Spacetime texture representation and recognition based on a spatiotemporal orientation analysis","volume":"34","author":"Derpanis","year":"2012","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"10","key":"10.1016\/j.compeleceng.2016.11.008_bib0030","doi-asserted-by":"crossref","first-page":"2146","DOI":"10.1109\/TPAMI.2015.2392774","article-title":"Spatiotemporal directional number transitional graph for dynamic texture recognition","volume":"37","author":"Rivera","year":"2015","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Computers & Electrical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0045790616307169?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0045790616307169?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T00:40:41Z","timestamp":1692578441000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0045790616307169"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":30,"alternative-id":["S0045790616307169"],"URL":"https:\/\/doi.org\/10.1016\/j.compeleceng.2016.11.008","relation":{},"ISSN":["0045-7906"],"issn-type":[{"value":"0045-7906","type":"print"}],"subject":[],"published":{"date-parts":[[2017,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dynamic texture recognition using multiresolution edge-weighted local structure pattern","name":"articletitle","label":"Article Title"},{"value":"Computers & Electrical Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compeleceng.2016.11.008","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2016 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}