{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:30:28Z","timestamp":1725888628061},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319594798"},{"type":"electronic","value":"9783319594804"}],"license":[{"start":{"date-parts":[[2017,5,28]],"date-time":"2017-05-28T00:00:00Z","timestamp":1495929600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-59480-4_1","type":"book-chapter","created":{"date-parts":[[2017,5,27]],"date-time":"2017-05-27T03:23:39Z","timestamp":1495855419000},"page":"1-10","source":"Crossref","is-referenced-by-count":3,"title":["Hand-Designed Local Image Descriptors vs. Off-the-Shelf CNN-Based Features for Texture Classification: An Experimental Comparison"],"prefix":"10.1007","author":[{"given":"Raquel","family":"Bello-Cerezo","sequence":"first","affiliation":[]},{"given":"Francesco","family":"Bianconi","sequence":"additional","affiliation":[]},{"given":"Silvia","family":"Cascianelli","sequence":"additional","affiliation":[]},{"given":"Mario Luca","family":"Fravolini","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"di Maria","sequence":"additional","affiliation":[]},{"given":"Fabrizio","family":"Smeraldi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,28]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.patrec.2016.08.016","volume":"84","author":"V Andrearczyk","year":"2016","unstructured":"Andrearczyk, V., Whelan, P.F.: Using filter banks in convolutional neural networks for texture classification. Pattern Recogn. Lett. 84, 63\u201369 (2016)","journal-title":"Pattern Recogn. Lett."},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Bianconi, F., Bello, R., Fern\u00e1ndez, A., Gonz\u00e1lez, E.: On comparing colour spaces from a performance perspective: application to automated classification of polished natural stones. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds.) New Trends in Image Analysis and Processing, ICIAP 2015 Workshops, Genoa, Italy. LNCS, vol. 9281, pp. 71\u201378. Springer (2015)","DOI":"10.1007\/978-3-319-23222-5_9"},{"issue":"12","key":"1_CR3","doi-asserted-by":"crossref","first-page":"3325","DOI":"10.1016\/j.patcog.2007.04.023","volume":"40","author":"F Bianconi","year":"2007","unstructured":"Bianconi, F., Fern\u00e1ndez, A.: Evaluation of the effects of Gabor filter parameters on texture classification. Pattern Recogn. 40(12), 3325\u20133335 (2007)","journal-title":"Pattern Recogn."},{"key":"1_CR4","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.patrec.2014.04.006","volume":"48","author":"F Bianconi","year":"2014","unstructured":"Bianconi, F., Fern\u00e1ndez, A.: Rotation invariant co-occurrence features based on digital circles and discrete Fourier transform. Pattern Recogn. Lett. 48, 34\u201341 (2014)","journal-title":"Pattern Recogn. Lett."},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Bianconi, F., Fern\u00e1ndez, A.: A unifying framework for LBP and related methods. In: Brahnam, S., Jain, L.C., Nanni, L., Lumini, A. (eds.) Local Binary Patterns: New Variants and Applications. Studies in computational intelligence, vol. 506, pp. 17\u201346. Springer (2014)","DOI":"10.1007\/978-3-642-39289-4_2"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Caputo, B., Hayman, E., Mallikarjuna, P.: Class-specific material categorisation. In: Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV 2005), vol. II, pp. 1597\u20131604 (2005)","DOI":"10.1109\/ICCV.2005.54"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: Proceedings of the British Machine Vision Conference 2014, Nottingham, United Kingdom, September 2014","DOI":"10.5244\/C.28.6"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Cimpoi, M., Maji, S., Vedaldi, A.: Deep filter banks for texture recognition and segmentation. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Boston, USA, pp. 3828\u20133836, June 2015","DOI":"10.1109\/CVPR.2015.7299007"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Clarke, A.D.F., Halley, F., Newell, A.J., Griffin, L.D., Chantler, M.J.: Perceptual similarity: a texture challenge. In: Proceedings of the British Machine Vision Conference 2011, Dundee, UK, August\u2013September 2011","DOI":"10.5244\/C.25.120"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Cusano, C., Napoletano, P., Schettini, R.: Combining multiple features for color texture classification. J. Electron. Imaging 25(6) (2016)","DOI":"10.1117\/1.JEI.25.6.061410"},{"issue":"1","key":"1_CR11","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1364\/JOSAA.33.000017","volume":"33","author":"C Cusano","year":"2016","unstructured":"Cusano, C., Napoletano, P., Schettini, R.: Evaluating color texture descriptors under large variations of controlled lighting conditions. J. Opt. Soc. Am. A 33(1), 17\u201330 (2016)","journal-title":"J. Opt. Soc. Am. A"},{"issue":"6","key":"1_CR12","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"3","author":"RM Haralick","year":"1973","unstructured":"Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. 3(6), 610\u2013621 (1973)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Hayman, E., Caputo, B., Fritz, M., Eklundh, J.-O.: On the significance of real-world conditions for material classification. In: Proceedings of the 8th European Conference on Computer Vision (ECCV 2004), Prague, Czech Republic. LNCS, vol. 3024, pp. 253\u2013266. Springer, May 2004","DOI":"10.1007\/978-3-540-24673-2_21"},{"key":"1_CR14","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Proceedings of Advances in Neural Information Processing Systems, Lake Tahoe, USA, vol. 2, pp. 1097\u20131105 (2012)"},{"key":"1_CR15","unstructured":"The KTH-TIPS and KTH-TIPS2 image databases (2004). \nhttp:\/\/www.nada.kth.se\/cvap\/databases\/kth-tips\/\n\n. Last Accessed 17 Oct 2016"},{"key":"1_CR16","unstructured":"Kylberg, G.: The Kylberg texture dataset v. 1.0. External report (Blue series) 35, Centre for Image Analysis, Swedish University of Agricultural Sciences and Uppsala University, Uppsala, Sweden, September 2011"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Kylberg, G., Sintorn, I.-M.: On the influence of interpolation method on rotation invariance in texture recognition. EURASIP J. Image Video Process. 2016(1) (2016)","DOI":"10.1186\/s13640-016-0117-6"},{"key":"1_CR18","unstructured":"Kylberg Sintorn Rotation dataset (2013). \nhttp:\/\/www.cb.uu.se\/~gustaf\/KylbergSintornRotation\/\n\n. Last Accessed 17 Oct 2016"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Liu, L., Fieguth, P., Wang, X., Pietik\u00e4inen, M., Hu, D.: Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark. In: Proceedings of the 14th European Conference on Computer Vision (ECCV 2016). LNCS, Amsterdam, The Netherlands, vol. 9907, pp. 69\u201386. Springer (2016)","DOI":"10.1007\/978-3-319-46487-9_5"},{"key":"1_CR20","unstructured":"MatConvNet: CNNs for MATLAB (2016). \nhttp:\/\/www.vlfeat.org\/matconvnet\/\n\n. Last Accessed 25 Oct 2016"},{"key":"1_CR21","unstructured":"MondialMarmi: A collection of images of polished natural stones for colour and texture analysis. version 2.0 (2015). \nhttp:\/\/dismac.dii.unipg.it\/mm\n\n. Last Accessed 17 Oct 2016"},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Ojala, T., Pietik\u00e4inen, M., M\u00e4enp\u00e4\u00e4, T., Viertola, J., Kyll\u00f6nen, J., Huovinen, S.: Outex - new framework for empirical evaluation of texture analysis algorithms. In: Proceedings of the 16th International Conference on Pattern Recognition (ICPR 2002), Quebec, Canada, vol. 1, pp. 701\u2013706. IEEE Computer Society (2002)","DOI":"10.1109\/ICPR.2002.1044854"},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"Parkhi, O.M., Vedaldi, A., Zissermann, A.: Deep face recognition. In: Proceedings of the British Machine Vision Conference 2015, Swansea, United Kingdom, September 2015","DOI":"10.5244\/C.29.41"},{"key":"1_CR24","unstructured":"Pertex database (2011). \nhttp:\/\/www.macs.hw.ac.uk\/texturelab\/resources\/databases\/pertex\/\n\n. Last Accessed 17 Oct 2016"},{"key":"1_CR25","unstructured":"RawFooT, D.B.: Raw food texture database (2015). \nhttp:\/\/projects.ivl.disco.unimib.it\/rawfoot\/\n\n. Last Accessed 17 Oct 2016"},{"key":"1_CR26","doi-asserted-by":"crossref","unstructured":"Razavian, A.S., Azizpour, H., Sullivan, J., Carlsson, S.: CNN features off-the-shelf: an astounding baseline for recognition. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Columbus, USA, pp. 512\u2013519, June 2014","DOI":"10.1109\/CVPRW.2014.131"},{"key":"1_CR27","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556 (2014)"},{"key":"1_CR28","doi-asserted-by":"crossref","unstructured":"Vedaldi, A., Lenc, K.: MatConvNet: convolutional neural networks for MATLAB. In: MM 2015 - Proceedings of the 2015 ACM Multimedia Conference, Brisbane, Australia, pp. 689\u2013692, October 2015","DOI":"10.1145\/2733373.2807412"},{"key":"1_CR29","doi-asserted-by":"crossref","unstructured":"Xie, X., Mirmehdi, M.: A galaxy of texture features. In: Mirmehdi, M., Xie, X., Suri, J. (eds.) Handbook of Texture Analysis, pp. 375\u2013406. Imperial College Press (2008)","DOI":"10.1142\/9781848161160_0013"},{"issue":"2","key":"1_CR30","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s11263-006-9794-4","volume":"73","author":"J Zhang","year":"2007","unstructured":"Zhang, J., Marsza\u0142ek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. Int. J. Comput. Vision 73(2), 213\u2013238 (2007)","journal-title":"Int. J. Comput. Vision"},{"key":"1_CR31","doi-asserted-by":"crossref","unstructured":"Zhong, Y., Sullivan, J., Li, H.: Face attribute prediction using off-the-shelf CNN features. In Proocedings of the 2016 International Conference on Biometrics, ICB 2016, Halmstad, Sweden, 6 2016","DOI":"10.1109\/ICB.2016.7550092"}],"container-title":["Smart Innovation, Systems and Technologies","Intelligent Interactive Multimedia Systems and Services 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59480-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,5,27]],"date-time":"2017-05-27T03:25:16Z","timestamp":1495855516000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59480-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,28]]},"ISBN":["9783319594798","9783319594804"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59480-4_1","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2017,5,28]]}}}