{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T04:01:25Z","timestamp":1649131285072},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2012,11,22]],"date-time":"2012-11-22T00:00:00Z","timestamp":1353542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2014,8]]},"DOI":"10.1007\/s11042-012-1289-4","type":"journal-article","created":{"date-parts":[[2012,11,22]],"date-time":"2012-11-22T17:10:05Z","timestamp":1353604205000},"page":"1559-1576","source":"Crossref","is-referenced-by-count":3,"title":["Image classification based on nearest neighbor basis vectors"],"prefix":"10.1007","volume":"71","author":[{"given":"Xianzhong","family":"Long","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongtao","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenbin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,11,22]]},"reference":[{"key":"1289_CR1","doi-asserted-by":"crossref","unstructured":"Boiman O, Shechtman E, Irani M (2008) In defense of nearest-neighbor based image classification. In: IEEE conference on computer vision and pattern recognition, pp 1\u20138","DOI":"10.1109\/CVPR.2008.4587598"},{"issue":"4","key":"1289_CR2","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TPAMI.2007.70716","volume":"30","author":"A Bosch","year":"2008","unstructured":"Bosch A, Zisserman A, Muoz X (2008) Scene classification using a hybrid generative\/discriminative approach. IEEE Trans Pattern Anal Mach Intell 30(4):712\u2013727","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1289_CR3","unstructured":"Coates A, Ng AY (2011) The importance of encoding versus training with sparse coding and vector quantization. In: International conference on machine learning"},{"issue":"3","key":"1289_CR4","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273\u2013297","journal-title":"Mach Learn"},{"key":"1289_CR5","unstructured":"Csurka G, Dance CR, Fan LX, Willamowski J, Bray C (2004) Visual categorization with bags of keypoints. In: workshop on statistical learning in computer vision, ECCV, vol 1, p 22"},{"key":"1289_CR6","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, vol 1, pp 886\u2013893","DOI":"10.1109\/CVPR.2005.177"},{"issue":"12","key":"1289_CR7","doi-asserted-by":"crossref","first-page":"3736","DOI":"10.1109\/TIP.2006.881969","volume":"15","author":"M Elad","year":"2006","unstructured":"Elad M, Aharon M (2006) Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans Image Process 15(12):3736\u20133745","journal-title":"IEEE Trans Image Process"},{"key":"1289_CR8","doi-asserted-by":"crossref","unstructured":"Freund Y, Schapire R, (1995) A desicion-theoretic generalization of on-line learning and an application to boosting. In: Computational learning theory, pp 23\u201337","DOI":"10.1007\/3-540-59119-2_166"},{"key":"1289_CR9","doi-asserted-by":"crossref","unstructured":"Gao SH, Tsang IWH, Chia LT, Zhao PL (2010) Local features are not lonely\u2013laplacian sparse coding for image classification. In: IEEE conference on computer vision and pattern recognition, pp 3555\u20133561","DOI":"10.1109\/CVPR.2010.5539943"},{"key":"1289_CR10","doi-asserted-by":"crossref","unstructured":"Grauman K, Darrell T (2005) The pyramid match kernel: discriminative classification with sets of image features. In: International conference on computer vision, vol\u00a02, pp 1458\u20131465","DOI":"10.1109\/ICCV.2005.239"},{"key":"1289_CR11","doi-asserted-by":"crossref","unstructured":"Harada T, Ushiku Y, Yamashita Y, Kuniyoshi Y (2011) Discriminative spatial pyramid. In: IEEE conference on computer vision and pattern recognition, pp 1617\u20131624","DOI":"10.1109\/CVPR.2011.5995691"},{"key":"1289_CR12","doi-asserted-by":"crossref","unstructured":"Huang YZ, Huang KQ, Yu YN, Tan TN (2011) Salient coding for image classification. In: IEEE conference on computer vision and pattern recognition, pp 1753\u20131760","DOI":"10.1109\/CVPR.2011.5995682"},{"key":"1289_CR13","doi-asserted-by":"crossref","unstructured":"Jurie F, Triggs B (2005) Creating efficient codebooks for visual recognition. In: International conference on computer vision, vol\u00a01, pp 604\u2013610","DOI":"10.1109\/ICCV.2005.66"},{"key":"1289_CR14","doi-asserted-by":"crossref","unstructured":"Kulkarni N, Li BX (2011) Discriminative affine sparse codes for image classification. In: IEEE conference on computer vision and pattern recognition, pp 1609\u20131616","DOI":"10.1109\/CVPR.2011.5995701"},{"key":"1289_CR15","doi-asserted-by":"crossref","unstructured":"Lazebnik S, Schmid C, Ponce J (2006) Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: IEEE conference on computer vision and pattern recognition, vol 2, pp 2169\u20132178","DOI":"10.1109\/CVPR.2006.68"},{"key":"1289_CR16","unstructured":"Li FF, Pietro P (2005) A bayesian hierarchical model for learning natural scene categories. In: IEEE conference on computer vision and pattern recognition, vol\u00a02, pp 524\u2013531"},{"key":"1289_CR17","unstructured":"Li LJ, Li FF (2007) What, where and who? classifying events by scene and object recognition. In: International conference on computer vision, pp 1\u20138"},{"issue":"2","key":"1289_CR18","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91\u2013110","journal-title":"Int J Comput Vis"},{"key":"1289_CR19","first-page":"985","volume":"19","author":"F Moosmann","year":"2007","unstructured":"Moosmann F, Triggs B, Jurie F (2007) Fast discriminative visual codebooks using randomized clustering forests. Adv Neural Inf Process Syst 19:985\u2013992","journal-title":"Adv Neural Inf Process Syst"},{"issue":"2","key":"1289_CR20","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1137\/080732730","volume":"2","author":"J Morel","year":"2009","unstructured":"Morel J, Yu G (2009) Asift: a new framework for fully affine invariant image comparison. SIAM J Imag Sci 2(2):438\u2013469","journal-title":"SIAM J Imag Sci"},{"key":"1289_CR21","doi-asserted-by":"crossref","unstructured":"Philbin J, Chum O, Isard M, Sivic J, Zisserman A (2007) Object retrieval with large vocabularies and fast spatial matching. In: IEEE conference on computer vision and pattern recognition, pp 1\u20138","DOI":"10.1109\/CVPR.2007.383172"},{"key":"1289_CR22","doi-asserted-by":"crossref","unstructured":"Quelhas P, Monay F, Odobez JM, Gatica-Perez D, Tuytelaars T, Van Gool L (2005) Modeling scenes with local descriptors and latent aspects. In: International conference on computer vision, vol 1, pp 883\u2013890","DOI":"10.1109\/ICCV.2005.152"},{"key":"1289_CR23","doi-asserted-by":"crossref","unstructured":"Rublee E, Rabaud V, Konolige K, Bradski G (2011) Orb: an efficient alternative to sift or surf. In: International conference on computer vision","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"1289_CR24","doi-asserted-by":"crossref","unstructured":"Sivic J, Zisserman A (2003) Video google: a text retrieval approach to object matching in videos. In: International conference on computer vision, pp 1470\u20131477","DOI":"10.1109\/ICCV.2003.1238663"},{"issue":"7","key":"1289_CR25","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1109\/TPAMI.2009.132","volume":"32","author":"J Gemert van","year":"2010","unstructured":"van Gemert J, Veenman C, Smeulders A, Geusebroek J (2010) Visual word ambiguity. IEEE Trans Pattern Anal Mach Intell 32(7):1271\u20131283","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1289_CR26","doi-asserted-by":"crossref","unstructured":"Wang JJ, Yang JC, Yu K, Lv FJ, Huang T, Gong YH (2010) Locality-constrained linear coding for image classification. In: IEEE conference on computer vision and pattern recognition, pp 3360\u20133367","DOI":"10.1109\/CVPR.2010.5540018"},{"issue":"11","key":"1289_CR27","doi-asserted-by":"crossref","first-page":"1985","DOI":"10.1109\/TPAMI.2008.129","volume":"30","author":"D Xu","year":"2008","unstructured":"Xu D, Chang S (2008) Video event recognition using kernel methods with multilevel temporal alignment. IEEE Trans Pattern Anal Mach Intell 30(11):1985\u20131997","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1289_CR28","unstructured":"Yang JC, Yu K, Gong YH, Huang T (2009) Linear spatial pyramid matching using sparse coding for image classification. In: IEEE conference on computer vision and pattern recognition, pp 1794\u20131801"},{"key":"1289_CR29","doi-asserted-by":"crossref","unstructured":"Yang L, Jin R, Sukthankar R, Jurie F (2008) Unifying discriminative visual codebook generation with classifier training for object category recognition. In: IEEE conference on computer vision and pattern recognition, pp 1\u20138","DOI":"10.1109\/CVPR.2008.4587504"},{"key":"1289_CR30","first-page":"2223","volume":"22","author":"K Yu","year":"2009","unstructured":"Yu K, Zhang T, Gong YH (2009) Nonlinear learning using local coordinate coding. Adv Neural Inf Process Syst 22:2223\u20132231","journal-title":"Adv Neural Inf Process Syst"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-012-1289-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-012-1289-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-012-1289-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,5]],"date-time":"2019-07-05T23:29:21Z","timestamp":1562369361000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-012-1289-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,11,22]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014,8]]}},"alternative-id":["1289"],"URL":"https:\/\/doi.org\/10.1007\/s11042-012-1289-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,11,22]]}}}