{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T14:44:57Z","timestamp":1761662697482,"version":"3.37.3"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2008,11,1]],"date-time":"2008-11-01T00:00:00Z","timestamp":1225497600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["TVC"],"published-print":{"date-parts":[[2009,1]]},"DOI":"10.1007\/s00371-008-0294-0","type":"journal-article","created":{"date-parts":[[2008,10,31]],"date-time":"2008-10-31T09:34:47Z","timestamp":1225445687000},"page":"13-23","source":"Crossref","is-referenced-by-count":22,"title":["Toward a higher-level visual representation for object-based image retrieval"],"prefix":"10.1007","volume":"25","author":[{"given":"Yan-Tao","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi-Yong","family":"Neo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tat-Seng","family":"Chua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2008,11,1]]},"reference":[{"key":"294_CR1","unstructured":"Agarwal, A., Triggs, W.: Hyperfeatures\u2014multilevel local coding for visual recognition. In: ECCV International Workshop on Statistical Learning in Computer Vision (2006). http:\/\/lear.inrialpes.fr\/pubs\/2006\/AT06b\/Agarwal-Triggs-eccv06.pdf"},{"key":"294_CR2","unstructured":"Baker, L., McCallum, A.: Distributional clustering of words for text classification. In: Croft, W.B., Moffat, A., van Rijsbergen, C.J., Wilkinson, R., Zobel, J. (eds.) Proceedings of ACM SIGIR, pp. 96\u2013103. Melbourne, AU (1998). citeseer.ist.psu.edu\/baker98distributional.html"},{"key":"294_CR3","first-page":"1183","volume":"3","author":"R. Bekkerman","year":"2003","unstructured":"Bekkerman, R., El-Yaniv, R., Tishby, N., Winter, Y.: Distributional word clusters vs. words for text categorization. J. Mach. Learn. Res. G 3, 1183\u20131208 (2003)","journal-title":"J. Mach. Learn. Res. G"},{"issue":"8","key":"294_CR4","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1109\/TPAMI.2002.1023800","volume":"24","author":"C. Carson","year":"2002","unstructured":"Carson, C., Belongie, S., Greenspan, H., Malik, J.: Blobworld: Image segmentation using expectation-maximization and its application to image querying. IEEE Trans. Pattern Anal. Mach. Intell. 24(8), 1026\u20131038 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"294_CR5","unstructured":"Dance, C., Willamowski, J., Fan, L., Bray, C., Csurka, G.: Visual categorization with bags of keypoints. In: Proceedings of ECCV Workshop on Statistical Learning in Computer Vision (2004)"},{"key":"294_CR6","doi-asserted-by":"crossref","unstructured":"Donoser, M., Bischof, H.: Efficient maximally stable extremal region (MSER) tracking. In: Proceedings of Conference on Computer Vision and Pattern Recognition, pp. 553\u2013560 (2006)","DOI":"10.1109\/CVPR.2006.107"},{"issue":"3\/4","key":"294_CR7","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/BF00962238","volume":"3","author":"C. Faloutsos","year":"1994","unstructured":"Faloutsos, C., Barber, R., Flickner, M., Hafner, J., Niblack, W., Petkovic, D., Equitz, W.: Efficient and effective querying by image content. J. Intell. Inf. Syst. 3(3\/4), 231\u2013262 (1994)","journal-title":"J. Intell. Inf. Syst."},{"key":"294_CR8","unstructured":"Griffin, A.H., Perona, P.: Caltech-256 object category dataset. Tech. rep., California Institute of Technology (2007)"},{"key":"294_CR9","doi-asserted-by":"crossref","unstructured":"Grauman, K., Darrell, T.: The pyramid match kernel: discriminative classification with sets of image features. In: Proceedings of International Conference on Computer Vision, pp. 1458\u20131465. IEEE Computer Society, USA (2005). http:\/\/dx.doi.org\/10.1109\/ICCV.2005.239","DOI":"10.1109\/ICCV.2005.239"},{"issue":"5","key":"294_CR10","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1145\/253769.253798","volume":"40","author":"A. Gupta","year":"1997","unstructured":"Gupta, A., Jain, R.: Visual information retrieval. Commun. ACM 40(5), 70\u201379 (1997). http:\/\/doi.acm.org\/10.1145\/253769.253798","journal-title":"Commun. ACM"},{"key":"294_CR11","doi-asserted-by":"crossref","unstructured":"Han, J., Cheng, H., Xin, D., Yan, X.: Frequent pattern mining: Current status and future directions. Data Min. Know. Discov. 14(1) (2007)","DOI":"10.1007\/s10618-006-0059-1"},{"key":"294_CR12","doi-asserted-by":"crossref","unstructured":"Jing, F., Li, M., Zhang, L., Zhang, H., Zhang, B.: Learning in region-based image retrieval. In: CIVR, pp. 206\u2013215 (2003)","DOI":"10.1007\/3-540-45113-7_21"},{"key":"294_CR13","doi-asserted-by":"crossref","unstructured":"Jurie, F., Triggs, B.: Creating efficient codebooks for visual recognition. In: Proceedings of International Conference on Computer Vision. Washington, DC, USA (2005). http:\/\/dx.doi.org\/10.1109\/ICCV.2005.66","DOI":"10.1109\/ICCV.2005.66"},{"issue":"2","key":"294_CR14","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1023\/A:1012460413855","volume":"45","author":"T. Kadir","year":"2001","unstructured":"Kadir, T., Brady, M.: Saliency, scale and image description. Int. J. Comput. Vis. 45(2), 83\u2013105 (2001). http:\/\/dx.doi.org\/10.1023\/A:1012460413855","journal-title":"Int. J. Comput. Vis."},{"key":"294_CR15","doi-asserted-by":"crossref","unstructured":"Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: Proceedings of Conference on Computer Vision and Pattern Recognition, pp. 2169\u20132178. Washington, DC, USA (2006)","DOI":"10.1109\/CVPR.2006.68"},{"key":"294_CR16","unstructured":"Li, F.F., Fergus, R., Perona, P.: Learning generative visual models from few training examples: an incremental Bayesian approach based on 101 object categories. In: Proceedings of CVPR Workshop. Washington, DC, USA (2004)"},{"issue":"1","key":"294_CR17","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.patcog.2006.04.045","volume":"40","author":"Y. Liu","year":"2007","unstructured":"Liu, Y., Zhang, D., Lu, G., Ma, W.Y.: A survey of content-based image retrieval with high-level semantics. Pattern Recognit. 40(1), 262\u2013282 (2007). doi: 10.1016\/j.patcog.2006.04.045 . http:\/\/dx.doi.org\/10.1016\/j.patcog.2006.04.045","journal-title":"Pattern Recognit."},{"key":"294_CR18","first-page":"91","volume":"20","author":"D. Lowe","year":"2003","unstructured":"Lowe, D.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 20, 91\u2013110 (2003).","journal-title":"Int. J. Comput. Vis."},{"key":"294_CR19","unstructured":"Pereira, F., Tishby, N., Lee, L.: Distributional clustering of English words. In: Proceedings of ACL, pp. 183\u2013190. Morristown, NJ, USA (1993). http:\/\/portal.acm.org\/citation.cfm?id=981598"},{"key":"294_CR20","unstructured":"Quack, T., Ferrari, V., Leibe, B., Van-Gool, L.: Efficient mining of frequent and distinctive feature configurations. In: ICCV (2007). http:\/\/lear.inrialpes.fr\/pubs\/2006\/AT06b\/Agarwal-Triggs-eccv06.pdf"},{"key":"294_CR21","unstructured":"Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering object categories in image collections. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2005)"},{"key":"294_CR22","unstructured":"Slonim, N., Friedman, N., Tishby, N.: Agglomerative multivariate information bottleneck. In: Advances in Neural Information Processing Systems (NIPS) (2001). citeseer.ist.psu.edu\/article\/slonim01agglomerative.html"},{"key":"294_CR23","doi-asserted-by":"crossref","unstructured":"Smith, J.R., Chang, S.F.: Visualseek: a fully automated content-based image query system. In: Proceedings of the ACM International Conference on Multimedia, pp. 87\u201398. ACM, New York, NY, USA (1996). http:\/\/doi.acm.org\/10.1145\/244130.244151","DOI":"10.1145\/244130.244151"},{"key":"294_CR24","unstructured":"Squire, D., Muller, W., Muller, H., Raki, J.: Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback (1999). citeseer.ist.psu.edu\/squire98contentbased.html"},{"key":"294_CR25","unstructured":"Squire, D., Muller, W., Muller, H., Raki, J.: Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback (1999). citeseer.ist.psu.edu\/squire98contentbased.html"},{"key":"294_CR26","unstructured":"Tishby, N., Pereira, F., Bialek, W.: The information bottleneck method. In: Proceedings of Allerton Conference on Communication, Control and Computing, pp. 368\u2013377 (1999). citeseer.ist.psu.edu\/tishby99information.html"},{"key":"294_CR27","doi-asserted-by":"crossref","unstructured":"Wallraven, C., Caputo, B., Graf, A.: Recognition with local features: the kernel recipe. In: Proceedings of International Conference on Computer Vision, p. 257. IEEE Computer Society, Nice, France (2003)","DOI":"10.1109\/ICCV.2003.1238351"},{"issue":"9","key":"294_CR28","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1109\/34.955109","volume":"23","author":"J.Z. Wang","year":"2001","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). citeseer.ist.psu.edu\/wang01simplicity.html","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"294_CR29","unstructured":"Willamowski, J., Arregui, D., Csurka, G., Dance, C., Fan, L.: Categorizing nine visual classes using local appearance descriptors. In: Proceedings of ICPR Workshop on Learning for Adaptable Visual Systems (2004)"},{"key":"294_CR30","volume-title":"Managing Gigabytes: Compressing and Indexing Documents and Images","author":"I. Witten","year":"1999","unstructured":"Witten, I., Moffat, A., Bell, T.: Managing Gigabytes: Compressing and Indexing Documents and Images. Morgan Kaufmann, San Francisco (1999). citeseer.ist.psu.edu\/witten96managing.html"},{"key":"294_CR31","doi-asserted-by":"crossref","unstructured":"Yuan, J., Wu, Y., Yang, M.: Discovery of collocation patterns: from visual words to visual phrases. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining (2007)","DOI":"10.1109\/CVPR.2007.383222"},{"issue":"2","key":"294_CR32","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, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. Int. J. Comput. Vis. 73(2), 213\u2013238 (2007). http:\/\/dx.doi.org\/10.1007\/s11263-006-9794-4","journal-title":"Int. J. Comput. Vis."},{"key":"294_CR33","unstructured":"Zheng, Q.F., Wang, W.Q., Gao, W.: Effective and efficient object-based image retrieval using visual phrases. In: Proceedings of ACM International Conference on Multimedia, pp. 77\u201380. Santa Barbara, CA, USA (2006). http:\/\/doi.acm.org\/10.1145\/1180639.1180664"},{"key":"294_CR34","unstructured":"Zheng, Y.T., Zhao, M., Neo, S.Y., Chua, T.S.: Visual synset: towards a higher-level visual representation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, USA (2008)"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-008-0294-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00371-008-0294-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-008-0294-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T10:59:19Z","timestamp":1559041159000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00371-008-0294-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,11,1]]},"references-count":34,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,1]]}},"alternative-id":["294"],"URL":"https:\/\/doi.org\/10.1007\/s00371-008-0294-0","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2008,11,1]]}}}