{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T14:08:30Z","timestamp":1762956510949,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T00:00:00Z","timestamp":1614124800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T00:00:00Z","timestamp":1614124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1007\/s11042-020-10355-0","type":"journal-article","created":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T18:02:58Z","timestamp":1614189778000},"page":"19157-19177","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Weber\u2019s law based multi-level convolution correlation features for image retrieval"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7313-8914","authenticated-orcid":false,"given":"LaiHang","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"NingZhong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"WenGang","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khushnood","family":"Abbas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,24]]},"reference":[{"issue":"1","key":"10355_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.jestch.2015.06.008","volume":"19","author":"A Bala","year":"2016","unstructured":"Bala A, Kaur T (2016) Local texton XOR patterns: A new feature descriptor for content-based image retrieval[J]. Eng Sci Technol Int J 19(1):101\u2013112. https:\/\/doi.org\/10.1016\/j.jestch.2015.06.008","journal-title":"Eng Sci Technol Int J"},{"key":"10355_CR2","doi-asserted-by":"publisher","unstructured":"Bay H, Tuytelaars T, Van Gool L (2006) SURF: Speeded Up robust features. Lecture Notes in Computer Science (Including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), 3951 LNCS: 404\u2013417, https:\/\/doi.org\/10.1007\/11744023-32","DOI":"10.1007\/11744023-32"},{"key":"10355_CR3","doi-asserted-by":"crossref","unstructured":"Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: IEEE conference on computer vision and pattern recognition (CVPR). https:\/\/hal.inria.fr\/file\/index\/docid\/548512\/filename\/hog-cvpr2005.pdf, pp 886\u2013893","DOI":"10.1109\/CVPR.2005.177"},{"key":"10355_CR4","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1016\/j.sigpro.2017.02.013","volume":"137","author":"S Fadaei","year":"2017","unstructured":"Fadaei S, Amirfattahi R, Ahmadzadeh MR (2017) Local derivative radial patterns: A new texture descriptor for content-based image retrieval[J]. Signal Process 137:274\u2013286. https:\/\/doi.org\/10.1016\/j.sigpro.2017.02.013","journal-title":"Signal Process"},{"issue":"12","key":"10355_CR5","doi-asserted-by":"publisher","first-page":"1943","DOI":"10.1109\/TVCG.2014.2346979","volume":"20","author":"L Harrison","year":"2014","unstructured":"Harrison L, Yang F, Franconeri S et al (2014) Ranking visualizations of correlation using Weber\u2019s Law[J]. IEEE Trans Vis Comput Graph 20 (12):1943\u20131952. https:\/\/doi.org\/10.1109\/TVCG.2014.2346979","journal-title":"IEEE Trans Vis Comput Graph"},{"issue":"17","key":"10355_CR6","doi-asserted-by":"publisher","first-page":"24519","DOI":"10.1007\/s11042-019-7157-8","volume":"78","author":"L He","year":"2019","unstructured":"He L, Xie L, Shu H, et al. (2019) Discrete semi-supervised learning for multi-label image classification and large-scale image retrieval[J]. Multimedia Tools Appl 78(17):24519\u201324537. https:\/\/doi.org\/10.1007\/s11042-019-7157-8","journal-title":"Multimedia Tools Appl"},{"issue":"9","key":"10355_CR7","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1109\/TPAMI.2009.155","volume":"32","author":"C Jie","year":"2010","unstructured":"Jie C, Shiguang S, Chu H (2010) WLD: A Robust local image descriptor[J]. IEEE Trans Pattern Anal Mach Intell 32(9):1705\u20131720. https:\/\/doi.org\/10.1109\/TPAMI.2009.155","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10355_CR8","doi-asserted-by":"publisher","unstructured":"Kalaiarasi G, Thyagharajan KK (2013) Visual content based clustering of near duplicate web search images. In: Proceedings of the 2013 international conference on green computing, communication and conservation of energy, ICGCE 2013, pp 767\u2013771, DOI https:\/\/doi.org\/10.1109\/ICGCE.2013.6823537, (to appear in print)","DOI":"10.1109\/ICGCE.2013.6823537"},{"key":"10355_CR9","doi-asserted-by":"publisher","first-page":"11997","DOI":"10.1007\/s10586-017-1539-3","volume":"22","author":"G Kalaiarasi","year":"2019","unstructured":"Kalaiarasi G, Thyagharajan KK (2019) Clustering of near duplicate images using bundled features. Clust Comput 22:11997\u201312007. https:\/\/doi.org\/10.1007\/s10586-017-1539-3","journal-title":"Clust Comput"},{"issue":"25","key":"10355_CR10","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1145\/3065386","volume":"2","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton G (2012) ImageNet classification with deep convolutional neural networks[J]. Adv Neural Inf Process Sys 2 (25):1097\u20131105. https:\/\/doi.org\/10.1145\/3065386","journal-title":"Adv Neural Inf Process Sys"},{"key":"10355_CR11","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.neucom.2013.05.038","volume":"122","author":"S Li","year":"2013","unstructured":"Li S, Gong D, Yuan Y (2013) Face recognition using Weber local descriptors[J]. Neurocomputing 122:272\u2013283. https:\/\/doi.org\/10.1016\/j.neucom.2013.05.038","journal-title":"Neurocomputing"},{"issue":"17","key":"10355_CR12","doi-asserted-by":"publisher","first-page":"24431","DOI":"10.1007\/s11042-018-7072-4","volume":"78","author":"Y Li","year":"2019","unstructured":"Li Y, Wan L, Fu T et al (2019) Piecewise supervised deep hashing for image retrieval[J]. Multimedia Tools Appl 78 (17):24431\u201324451. https:\/\/doi.org\/10.1007\/s11042-018-7072-4","journal-title":"Multimedia Tools Appl"},{"issue":"2","key":"10355_CR13","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"D Love","year":"2004","unstructured":"Love D (2004) Distinctive image features from scale invariant features. Int J Comput Vis 60(2):91\u2013110","journal-title":"Int J Comput Vis"},{"key":"10355_CR14","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/978-3-642-32063-7-35","volume":"182 AISC","author":"RI Minu","year":"2013","unstructured":"Minu RI, Thyagarajan KK (2013) A novel approach to build image ontology using texton. Adv Intell Sys Comput 182 AISC:333\u2013339. https:\/\/doi.org\/10.1007\/978-3-642-32063-7-35","journal-title":"Adv Intell Sys Comput"},{"issue":"5","key":"10355_CR15","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/s11633-014-0832-3","volume":"11","author":"RI Minu","year":"2014","unstructured":"Minu RI, Thyagharajan KK (2014) Semantic rule based image visual feature ontology creation. Int J Autom Comput 11(5):489\u2013499. https:\/\/doi.org\/10.1007\/s11633-014-0832-3","journal-title":"Int J Autom Comput"},{"issue":"4","key":"10355_CR16","doi-asserted-by":"publisher","first-page":"86630T","DOI":"10.1117\/12.2002185","volume":"8663","author":"S Murala","year":"2013","unstructured":"Murala S, Wu QMJ, Balasubramanian R et al (2013) Joint histogram between color and local extrema patterns for object tracking[J]. Proc SPIE Int Soc Opt Eng 8663(4):86630T-86630T-7. https:\/\/doi.org\/10.1117\/12.2002185","journal-title":"Proc SPIE Int Soc Opt Eng"},{"issue":"7","key":"10355_CR17","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala T, Pietikainen M, Maenpaa T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971\u2013987. https:\/\/doi.org\/10.1109\/TPAMI.2002.1017623","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"99","key":"10355_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2018.2852918","volume":"PP","author":"L Qiwu","year":"2018","unstructured":"Qiwu L, Yichuang S, Pengcheng L et al (2018) Generalized completed local binary patterns for time-efficient steel surface defect classification[J]. IEEE Trans Inst Meas PP(99):1\u201313. https:\/\/doi.org\/10.1109\/TIM.2018.2852918","journal-title":"IEEE Trans Inst Meas"},{"issue":"6","key":"10355_CR19","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.1016\/j.sigpro.2011.12.005","volume":"92","author":"M Subrahmanyam","year":"2012","unstructured":"Subrahmanyam M, Maheshwari RP, Balasubramanian R (2012) Local maximum edge binary patterns: A new descriptor for image retrieval and object tracking[J]. Signal Process 92(6):1467\u20131479. https:\/\/doi.org\/10.1016\/j.sigpro.2011.12.005","journal-title":"Signal Process"},{"issue":"6","key":"10355_CR20","doi-asserted-by":"publisher","first-page":"1635","DOI":"10.1109\/TIP.2010.2042645","volume":"19","author":"X Tan","year":"2010","unstructured":"Tan X, Triggs B (2010) Enhanced local texture feature sets for face recognition under difficult lighting Conditions[J]. IEEE Trans Image Process 19 (6):1635\u20131650. https:\/\/doi.org\/10.1109\/TIP.2010.2042645","journal-title":"IEEE Trans Image Process"},{"issue":"1582\u20137445","key":"10355_CR21","doi-asserted-by":"publisher","first-page":"87","DOI":"10.4316\/AECE.2018.03012","volume":"18","author":"KK Thyagharajan","year":"2018","unstructured":"Thyagharajan KK, Kalaiarasi G (2018) Pulse coupled neural network based near-duplicate detection of images. Adv Elec Comput Eng 18 (1582\u20137445):87\u201396. https:\/\/doi.org\/10.4316\/AECE.2018.03012","journal-title":"Adv Elec Comput Eng"},{"issue":"4","key":"10355_CR22","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1007\/s11831-018-9266-3","volume":"26","author":"KK Thyagharajan","year":"2019","unstructured":"Thyagharajan KK, Kiruba Raji I (2019) A review of visual descriptors and classification techniques used in leaf species identification. Arch Comput Methods Eng 26(4):933\u2013960. https:\/\/doi.org\/10.1007\/s11831-018-9266-3","journal-title":"Arch Comput Methods Eng"},{"issue":"5","key":"10355_CR23","doi-asserted-by":"publisher","first-page":"6623","DOI":"10.1007\/s11042-016-3362-x","volume":"76","author":"D Tiwari","year":"2017","unstructured":"Tiwari D, Tyagi V (2017) Improved Webers law based local binary pattern for dynamic texture recognition[J]. Multimedia Tools Appl 76(5):6623\u20136640. https:\/\/doi.org\/10.1007\/s11042-016-3362-x","journal-title":"Multimedia Tools Appl"},{"key":"10355_CR24","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.neunet.2018.11.007","volume":"110","author":"M Uzuntarla","year":"2018","unstructured":"Uzuntarla M, Torres JJ, Calim A et al (2018) Synchronization-induced spike termination in networks of bistable neurons[J]. Neural Netw 110:131\u2013140. https:\/\/doi.org\/10.1016\/j.neunet.2018.11.007","journal-title":"Neural Netw"},{"key":"10355_CR25","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.neucom.2015.03.015","volume":"165","author":"M Verma","year":"2015","unstructured":"Verma M, Raman B, Murala S (2015) Local extrema co-occurrence pattern for color and texture image retrieval[J]. Neurocomputing 165:255\u2013269. https:\/\/doi.org\/10.1016\/j.neucom.2015.03.015","journal-title":"Neurocomputing"},{"key":"10355_CR26","doi-asserted-by":"publisher","unstructured":"Vigneshl T, Thyagharajan KK (2014) Local binary pattern texture feature for satellite imagery classification. In: 2014 international conference on science engineering and management research, ICSEMR, vol 2014, pp 1\u20136, DOI https:\/\/doi.org\/10.1109\/ICSEMR.2014.7043591","DOI":"10.1109\/ICSEMR.2014.7043591"},{"key":"10355_CR27","doi-asserted-by":"publisher","unstructured":"Wan J, Wang D, Hoi SCH et al (2014) Deep learning for Content-Based image retrieval: A comprehensive study[C]\/\/Proceedings of the ACM Int Conf Multimedia. ACM, https:\/\/doi.org\/10.1145\/2647868.2654948","DOI":"10.1145\/2647868.2654948"},{"issue":"3","key":"10355_CR28","doi-asserted-by":"publisher","first-page":"1845","DOI":"10.1109\/TIT.2017.2776228","volume":"64","author":"T Wiatowski","year":"2015","unstructured":"Wiatowski T, Bolcskei H (2015) A mathematical theory of deep convolutional neural networks for feature extraction. IEEE Trans Inf Theory 64 (3):1845\u20131866. https:\/\/doi.org\/10.1109\/TIT.2017.2776228","journal-title":"IEEE Trans Inf Theory"},{"key":"10355_CR29","doi-asserted-by":"publisher","first-page":"6204","DOI":"10.1109\/ACCESS.2016.2607841","volume":"4","author":"L Yu","year":"2016","unstructured":"Yu L, Feng L, Chen C, et al. (2016) A novel multi-feature representation of images for heterogeneous IoTs[J]. IEEE Access 4:6204\u20136215. https:\/\/doi.org\/10.1109\/ACCESS.2016.2607841","journal-title":"IEEE Access"},{"issue":"2","key":"10355_CR30","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s11760-017-1152-1","volume":"12","author":"L Yu","year":"2018","unstructured":"Yu L, Feng L, Wang H, et al. (2018) Multi-trend binary code descriptor: a novel local texture feature descriptor for image retrieval[J]. SIViP 12 (2):247\u2013254. https:\/\/doi.org\/10.1007\/s11760-017-1152-1","journal-title":"SIViP"},{"issue":"22","key":"10355_CR31","doi-asserted-by":"publisher","first-page":"32419","DOI":"10.1007\/s11042-019-07980-9","volume":"78","author":"F Zeng","year":"2019","unstructured":"Zeng F, Hu S, Xiao K (2019) Deep hash for latent image retrieval[J]. Multimedia Tools Appl 78(22):32419\u201332435. https:\/\/doi.org\/10.1007\/s11042-019-07980-9","journal-title":"Multimedia Tools Appl"},{"issue":"10","key":"10355_CR32","doi-asserted-by":"publisher","first-page":"2357","DOI":"10.1109\/TNNLS.2016.2586194","volume":"28","author":"S Zhang","year":"2017","unstructured":"Zhang S, Lan X, Yao H, et al. (2017) A biologically inspired appearance model for robust visual Tracking[J]. IEEE Trans Neural Netw Learn Sys 28(10):2357\u20132370. https:\/\/doi.org\/10.1109\/TNNLS.2016.2586194","journal-title":"IEEE Trans Neural Netw Learn Sys"},{"key":"10355_CR33","doi-asserted-by":"publisher","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 (2016) A novel image retrieval method based on multi-trend structure descriptor[J]. J Vis Commun Image Represent 38:73\u201381. https:\/\/doi.org\/10.1016\/j.jvcir.2016.02.016","journal-title":"J Vis Commun Image Represent"},{"key":"10355_CR34","unstructured":"Zhou W, Li H, Tian Q (2017) Recent advance in content-based image retrieval: a literature survey. arXiv:1706.06064"},{"issue":"17","key":"10355_CR35","doi-asserted-by":"publisher","first-page":"24391","DOI":"10.1007\/s11042-018-7036-8","volume":"78","author":"H Zhou","year":"2019","unstructured":"Zhou H, Tao Y, Shi J et al (2019) Large scale image retrieval with DCNN and local geometrical constraint model[J]. Multimedia Tools Appl 78(17):24391\u201324406. https:\/\/doi.org\/10.1007\/s11042-018-7036-8","journal-title":"Multimedia Tools Appl"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10355-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-10355-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10355-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,21]],"date-time":"2021-05-21T06:04:35Z","timestamp":1621577075000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-10355-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,24]]},"references-count":35,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["10355"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-10355-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2021,2,24]]},"assertion":[{"value":"15 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}