{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T08:47:00Z","timestamp":1775292420992,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2018,12,1]]},"DOI":"10.1587\/transinf.2018edp7107","type":"journal-article","created":{"date-parts":[[2018,11,30]],"date-time":"2018-11-30T17:27:31Z","timestamp":1543598851000},"page":"3170-3180","source":"Crossref","is-referenced-by-count":0,"title":["Local Feature Reliability Measure Consistent with Match Conditions for Mobile Visual Search"],"prefix":"10.1587","volume":"E101.D","author":[{"given":"Kohei","family":"MATSUZAKI","sequence":"first","affiliation":[{"name":"KDDI Research, Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuyuki","family":"TASAKA","sequence":"additional","affiliation":[{"name":"KDDI Research, Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiromasa","family":"YANAGIHARA","sequence":"additional","affiliation":[{"name":"KDDI Research, Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] J. Panda, M.S. Brown, and C.V. Jawahar, \u201cOffline mobile instance retrieval with a small memory footprint,\u201d Proc. International Conference on Computer Vision, pp.1257-1264, 2013. 10.1109\/iccv.2013.159","DOI":"10.1109\/ICCV.2013.159"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] D.M. Chen and B. Girod, \u201cMemory-efficient image databases for mobile visual search,\u201d IEEE Multimedia Mag. Mag., vol.21, no.1, pp.14-23, 2014. 10.1109\/mmul.2013.46","DOI":"10.1109\/MMUL.2013.46"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] J. Sivic and A. Zisserman, \u201cVideo google: A text retrieval approach to object matching in videos,\u201d Proc. International Conference on Computer Vision, pp.1470-1477, 2003. 10.1109\/iccv.2003.1238663","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] H. J\u00e9gou, M. Douze, C. Schmid, and P. P\u00e9rez, \u201cAggregating local descriptors into a compact image representation,\u201d Proc. Computer Vision and Pattern Recognition, pp.3384-3391, 2010. 10.1109\/cvpr.2010.5540039","DOI":"10.1109\/CVPR.2010.5540039"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] P. Piccinini, A. Prati, and R. Cucchiara, \u201cReal-time object detection and localization with SIFT-based clustering,\u201d Image. Vision. Comput., vol.30, no.8, pp.573-587, 2012. 10.1016\/j.imavis.2012.06.004","DOI":"10.1016\/j.imavis.2012.06.004"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] T. Sattler, M. Havlena, K. Schindler, and M. Pollefeys, \u201cLarge-scale location recognition and the geometric burstiness problem,\u201d Proc. Computer Vision and Pattern Recognition, pp.1582-1590, 2016. 10.1109\/cvpr.2016.175","DOI":"10.1109\/CVPR.2016.175"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] D.G. Lowe, \u201cDistinctive image feature from scale-invariant keypoints,\u201d Int. J. Comput. Vision., vol.60, no.2, pp.91-110, 2004. 10.1023\/b:visi.0000029664.99615.94","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] H. Bay, T. Tuytelaars, and L.V. Gool, \u201cSURF: Speeded up robust features,\u201d Proc. European Conference on Computer Vision, pp.404-417, 2006. 10.1007\/11744023_32","DOI":"10.1007\/11744023_32"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] S. Leutenegger, M. Chli, and R.Y. Siegwart, \u201cBRISK: Binary Robust Invariant Scalable Keypoints,\u201d Proc. International Conference on Computer Vision, pp.2548-2555, 2011. 10.1109\/iccv.2011.6126542","DOI":"10.1109\/ICCV.2011.6126542"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] E. Rubee, V. Rabaud, K. Konolige, and G. Bradski, \u201cORB: An efficient alternative to SIFT or SURF,\u201d Proc. International Conference on Computer Vision, pp.2564-2571, 2011. 10.1109\/iccv.2011.6126544","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] A. Alahi, R. Ortiz, and P. Vandergheynst, \u201cFREAK: Fast retina keypoint,\u201d Proc. International Conference on Computer Vision, pp.510-517, 2012. 10.1109\/cvpr.2012.6247715","DOI":"10.1109\/CVPR.2012.6247715"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] F. Perronnin, Y. Liu, J. S\u00e1nchez, and H. Poirier, \u201cLarge-scale image retrieval with compressed fisher vectors,\u201d Proc. Computer Vision and Pattern Recognition, pp.3384-3391, 2010. 10.1109\/cvpr.2010.5540009","DOI":"10.1109\/CVPR.2010.5540009"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] Y. Uchida, S. Sakazawa, and S. Satoh, \u201cImage retrieval with fisher vectors of binary features,\u201d ITE Trans. Media Technology and Applications, vol.4, no.4, pp.326-336, 2016. 10.3169\/mta.4.326","DOI":"10.3169\/mta.4.326"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] J.-M. Morel and G. Yu, \u201cASIFT: A new framework for fully affine invariant image comparison,\u201d SIAM J. Imaging Sci., vol.2, no.2, pp.438-469, 2009. 10.1137\/080732730","DOI":"10.1137\/080732730"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] K. Matsuzaki, Y. Uchida, S. Sakazawa, and S. Satoh, \u201cLocal feature reliability measure using multiview synthetic images for mobile visual search,\u201d Proc. Asian Conference on Pattern Recognition, pp.156-160, 2015. 10.1109\/acpr.2015.7486485","DOI":"10.1109\/ACPR.2015.7486485"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] Z. Wang, Q. Zhao, D. Chu, F. Zhao, and L.J. Guibas, \u201cSelect Informative Features for Recognition,\u201d Proc. International Conference on Image Processing, pp.2477-2480, 2011. 10.1109\/icip.2011.6116163","DOI":"10.1109\/ICIP.2011.6116163"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] M.A. Fischler and R.C. Bolles, \u201cRandom sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,\u201d Commun. ACM, vol.24, no.6, pp.381-395, 1981. 10.1145\/358669.358692","DOI":"10.1145\/358669.358692"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, \u201cLost in quantization: Improving particular object retrieval in large scale image databases,\u201d Proc. Computer Vision and Pattern Recognition, pp.1-8, 2008. 10.1109\/cvpr.2008.4587635","DOI":"10.1109\/CVPR.2008.4587635"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] A. Mikul\u00edk, M. Perdoch, O. Chum, and J. Matas, \u201cLearning a fine vocabulary,\u201d Proc. European Conference on Computer Vision, pp.1-14, 2010. 10.1007\/978-3-642-15558-1_1","DOI":"10.1007\/978-3-642-15558-1_1"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] D. Chen, M. Rabbani, R.L. Stevenson, S.S. Tsai, V. Chandrasekhar, G. Takacs, J. Singh, and B. Girod, \u201cRobust image retrieval using multiview scalable vocabulary trees,\u201d Proc. Visual Communications and Image Processing, pp.72570V, 2009. 10.1117\/12.805606","DOI":"10.1117\/12.805606"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] H. J\u00e9gou, M. Douze, and C. Schmid, \u201cImproving bag-of-features for large scale image search,\u201d Int. J. Comput. Vision., vol.87, no.3, pp.316-336, 2010. 10.1007\/s11263-009-0285-2","DOI":"10.1007\/s11263-009-0285-2"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] M. Shi, Y. Avrithis, and H. J\u00e9gou, \u201cEarly burst detection for memory-efficient image retrieval,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.605-613, 2015. 10.1109\/cvpr.2015.7298659","DOI":"10.1109\/CVPR.2015.7298659"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] D. G\u00e1lvez-L\u00f3pez and J.D. Tard\u00f3s, \u201cReal-time loop detection with bags of binary words,\u201d Proc. International Conference on Intelligent Robots and Systems, pp.51-58, 2011. 10.1109\/iros.2011.6094885","DOI":"10.1109\/IROS.2011.6094885"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] W. Zhou, Y. Lu, H. Li, and Q. Tian, \u201cScalar quantization for large scale image search,\u201d Proc. 20th ACM international conference on Multimedia, pp.169-178, 2012. 10.1145\/2393347.2393377","DOI":"10.1145\/2393347.2393377"},{"key":"25","doi-asserted-by":"publisher","unstructured":"[25] Y. Uchida, S. Sakazawa, and S. Satoh, \u201cAdaptive Substring Extraction and Modified Local NBNN Scoring for Binary Feature-based Local Mobile Visual Search without False Positives,\u201d ITE Trans. Media Technology and Applications, vol.5, no.1, pp.24-34, 2017. 10.3169\/mta.5.24","DOI":"10.3169\/mta.5.24"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] S. McCann and D.G. Lowe, \u201cLocal naive bayes nearest neighbor for image classification,\u201d Proc. International Conference on Computer Vision, pp.3650-3656, 2012. 10.1109\/cvpr.2012.6248111","DOI":"10.1109\/CVPR.2012.6248111"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] S.S. Tsai, D.M. Chen, G. Takacs, V. Chandrasekhar, R. Vedantham, R. Grzeszczuk, and B. Girod, \u201cFast geometric re-ranking for image based retrieval,\u201d Proc. International Conference on Image Processing, pp.1029-1032, 2010. 10.1109\/icip.2010.5648942","DOI":"10.1109\/ICIP.2010.5648942"},{"key":"28","doi-asserted-by":"publisher","unstructured":"[28] U. Feige, \u201cA threshold of ln n for approximating set cover,\u201d J. ACM, vol.45, no.4, pp.634-652, 1998. 10.1145\/285055.285059","DOI":"10.1145\/285055.285059"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] D.P. Willamson and D.B. Shmoys, \u201cThe design of approximation algorithms,\u201d Cambridge University Press, 2011. 10.1017\/cbo9780511921735","DOI":"10.1017\/CBO9780511921735"},{"key":"30","unstructured":"[30] D.S. Hochbaum, \u201cApproximating covering and packing problems: Set cover, vertex cover, independent set, and related problems,\u201d Approximation Algorithms for NP-Hard Problem, pp.94-143, 1997."},{"key":"31","doi-asserted-by":"publisher","unstructured":"[31] M.A. Guvensan and A.G. Yavuz, \u201cOn coverage issues in directional sensor networks: A survey,\u201d Ad Hoc Networks, vol.9, no.7, pp.1238-1255, 2011. 10.1016\/j.adhoc.2011.02.003","DOI":"10.1016\/j.adhoc.2011.02.003"},{"key":"32","doi-asserted-by":"crossref","unstructured":"[32] E. Filatova and V. Hatzivassiloglou, \u201cA formal model for information selection in multi-sentence text extraction,\u201d Proc. 20th International Conference on Computational Linguistics, pp.397-403, 2004. 10.3115\/1220355.1220412","DOI":"10.3115\/1220355.1220412"},{"key":"33","doi-asserted-by":"publisher","unstructured":"[33] S. Hinterstoisser, V. Lepetit, S. Benhimane, P. Fua, and N. Navab, \u201cLearning real-time perspective patch rectification,\u201d Int. J. Comput. Vision., vol.91, no.1, pp.107-130, 2011. 10.1007\/s11263-010-0379-x","DOI":"10.1007\/s11263-010-0379-x"},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] D. Kurz, T. Olszamowski, and S. Benhimane, \u201cRepresentative feature descriptor sets for robust handheld camera localization,\u201d Proc. International Symposium on Mixed and Augmented Reality, pp.65-70, 2012. 10.1109\/ismar.2012.6402540","DOI":"10.1109\/ISMAR.2012.6402540"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[35] H. J\u00e9gou, M. Douze, and C. Schmid, \u201cOn the burstiness of visual elements,\u201d Proc. Computer Vision and Pattern Recognition, pp.1169-1176, 2009. 10.1109\/cvpr.2009.5206609","DOI":"10.1109\/CVPR.2009.5206609"},{"key":"36","doi-asserted-by":"crossref","unstructured":"[36] J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, \u201cObject retrieval with large vocabularies and fast spatial matching,\u201d Proc. Computer Vision and Pattern Recognition, pp.1-8, 2007. 10.1109\/cvpr.2007.383172","DOI":"10.1109\/CVPR.2007.383172"},{"key":"37","doi-asserted-by":"publisher","unstructured":"[37] I. \u015eahin, \u201cA comparative evaluation of well-known feature detectors and descriptors,\u201d International Journal of Applied Mathematics, Electronics and Computers, vol.3, no.1, pp.1-6, 2014. 10.18100\/ijamec.60004","DOI":"10.18100\/ijamec.60004"},{"key":"38","doi-asserted-by":"publisher","unstructured":"[38] K. Mikolajczyk and C. Schmid, \u201cScale &amp; affine invariant interest point detectors,\u201d Int. J. Comput. Vision., vol.60, no.1, pp.63-86, 2004. 10.1023\/b:visi.0000027790.02288.f2","DOI":"10.1023\/B:VISI.0000027790.02288.f2"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/12\/E101.D_2018EDP7107\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T07:48:53Z","timestamp":1775288933000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/12\/E101.D_2018EDP7107\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,1]]},"references-count":38,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2018edp7107","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,1]]}}}