{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:51:59Z","timestamp":1750308719288,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":20,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1145\/2676585.2676626","type":"proceedings-article","created":{"date-parts":[[2015,1,16]],"date-time":"2015-01-16T19:18:59Z","timestamp":1421435939000},"page":"263-270","source":"Crossref","is-referenced-by-count":0,"title":["Improvement of image representation for large-scale image retrieval"],"prefix":"10.1145","author":[{"given":"Nguyen Anh","family":"Tu","sequence":"first","affiliation":[]},{"given":"Young-Koo","family":"Lee","sequence":"additional","affiliation":[]}],"member":"320","reference":[{"key":"key-10.1145\/2676585.2676626-1","doi-asserted-by":"crossref","unstructured":"D. G. Lowe. 2004. Distinctive image features from scale-invariant key- points. International Journal of Computer Vision 60, (2004) 91--110.","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"key-10.1145\/2676585.2676626-2","doi-asserted-by":"crossref","unstructured":"J. Sivic, A. Zisserman. 2003. Video Google: a text retrieval approach to object matching in videos. In: IEEE International Conference on Computer Vision.","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"key-10.1145\/2676585.2676626-3","doi-asserted-by":"crossref","unstructured":"J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. 2007. Object retrieval with large vocabularies and fast spatial matching, in: IEEE Conference on Computer Vision and Pattern Recognition.","DOI":"10.1109\/CVPR.2007.383172"},{"key":"key-10.1145\/2676585.2676626-4","doi-asserted-by":"crossref","unstructured":"F. Perronnin, Y. Liu, J. Sánchez, H. Poirier. 2010. Large-scale image retrieval with compressed fisher vectors, in: IEEE Conference on Computer Vision and Pattern Recognition.","DOI":"10.1109\/CVPR.2010.5540009"},{"key":"key-10.1145\/2676585.2676626-5","unstructured":"H. Jégou, M. Douze, C. Schmid, P. Pérez. 2010. Aggregating local descriptors into a compact image representation, in: IEEE Conference on Computer Visionand Pattern Recognition."},{"key":"key-10.1145\/2676585.2676626-6","doi-asserted-by":"crossref","unstructured":"Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A. 2008. Lost in quantization: Improving particular object retrieval in large scale image databases. In: CVPR. (2008)","DOI":"10.1109\/CVPR.2008.4587635"},{"key":"key-10.1145\/2676585.2676626-7","doi-asserted-by":"crossref","unstructured":"B. A. Olshausen and D. J. Field. 1997. Sparse coding with an overcomplete basis set: A strategy employed by v1? Vision Research, 37: 3311--3325.","DOI":"10.1016\/S0042-6989(97)00169-7"},{"key":"key-10.1145\/2676585.2676626-8","doi-asserted-by":"crossref","unstructured":"J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. 2010. Locality-constrained linear coding for image classification. In CVPR.","DOI":"10.1109\/CVPR.2010.5540018"},{"key":"key-10.1145\/2676585.2676626-9","unstructured":"J. Yang, K. Yu, Y. Gong, and T. Huang. 2009. Linear spatial pyramid matching using sparse coding for image classification. In CVPR."},{"key":"key-10.1145\/2676585.2676626-10","doi-asserted-by":"crossref","unstructured":"X. Zhou, K. Yu, T. Zhang, and T. S. 2010. Huang. Image classification using super-vector coding of local image descriptors. In ECCV.","DOI":"10.1007\/978-3-642-15555-0_11"},{"key":"key-10.1145\/2676585.2676626-11","unstructured":"M. Belkin and P. Niyogi. 2004. Laplacian Eigenmaps and spectral techniques for embedding and clustering. In Advances in Neural Information Processing Systems."},{"key":"key-10.1145\/2676585.2676626-12","doi-asserted-by":"crossref","unstructured":"R Arandjelovic, A Zisserman. 2013. All about VLAD, in: IEEE Conference on Computer Vision and Pattern Recognition.","DOI":"10.1109\/CVPR.2013.207"},{"key":"key-10.1145\/2676585.2676626-13","unstructured":"J.-H. Park, Z. Zhang, H. Zha, and R. Kasturi. 2004. Local smoothing for manifold learning. in: IEEE Conference on Computer Vision and Pattern Recognition."},{"key":"key-10.1145\/2676585.2676626-14","doi-asserted-by":"crossref","unstructured":"X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang. 2005. Face recognition using laplacianfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (2005) 328--340.","DOI":"10.1109\/TPAMI.2005.55"},{"key":"key-10.1145\/2676585.2676626-15","unstructured":"X. He and P. Niyogi. 2004. Locality preserving projections. In Advances in Neural Information Processing Systems."},{"key":"key-10.1145\/2676585.2676626-16","unstructured":"M. Datar, N. Immorlica, P. Indyk, and V. Mirrokni. 2004. Locality-sensitive hashing scheme based on p-stable distributions. In Proceedings of the Symposium on Computational Geometry, pp. 253--262."},{"key":"key-10.1145\/2676585.2676626-17","unstructured":"M. Muja and D. G. Lowe. 2009. Fast approximate nearest neighbors with automatic algorithm configuration. In VISAPP, February 2009."},{"key":"key-10.1145\/2676585.2676626-18","unstructured":"B. Kulis and K. Grauman. 2009. Kernelized locality-sensitive hashing for scalable image search. In ICCV, October 2009."},{"key":"key-10.1145\/2676585.2676626-19","doi-asserted-by":"crossref","unstructured":"H. J'egou, M. Douze, and C. Schmid. 2011. Product quantization for nearest neighbor search. IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 33, pp. 117--128, January 2011.","DOI":"10.1109\/TPAMI.2010.57"},{"key":"key-10.1145\/2676585.2676626-20","unstructured":"H. Jégou, M. Douze, and C. Schmid. 2008. Hamming embedding and weak geometric consistency for large scale image search, In: European Conference on Computer Vision. http:\/\/lear.inrialpes.fr\/~jegou\/data.php."}],"event":{"name":"the Fifth Symposium","start":{"date-parts":[[2014,12,4]]},"number":"5","location":"Hanoi, Viet Nam","end":{"date-parts":[[2014,12,5]]},"acronym":"SoICT '14"},"container-title":["Proceedings of the Fifth Symposium on Information and Communication Technology - SoICT '14"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2676585.2676626","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=2676626&ftid=1529186&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:14:31Z","timestamp":1750277671000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=2676585.2676626"}},"subtitle":[],"proceedings-subject":"Information and Communication Technology","short-title":[],"issued":{"date-parts":[[2014]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1145\/2676585.2676626","relation":{},"subject":[],"published":{"date-parts":[[2014]]}}}