{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T23:01:18Z","timestamp":1785279678924,"version":"3.55.0"},"reference-count":58,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T00:00:00Z","timestamp":1476921600000},"content-version":"vor","delay-in-days":366,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"crossref","award":["61325009, 61390514, 61472378 and 61429201"],"award-info":[{"award-number":["61325009, 61390514, 61472378 and 61429201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["WK2100060014 and WK2100060011"],"award-info":[{"award-number":["WK2100060014 and WK2100060011"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Faculty Research Awards by NEC Laboratories of America"},{"name":"Professor Houqiang Li by 973 Program","award":["2015CB351803"],"award-info":[{"award-number":["2015CB351803"]}]},{"name":"ARO","award":["W911NF-12-1-0057"],"award-info":[{"award-number":["W911NF-12-1-0057"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2016,3,3]]},"abstract":"<jats:p>In content-based visual object retrieval, image representation is one of the fundamental issues in improving retrieval performance. Existing works adopt either local SIFT-like features or holistic features, and may suffer sensitivity to noise or poor discrimination power. In this article, we propose a compact representation for scalable object retrieval from few generic object regions. The regions are identified with a general object detector and are described with a fusion of learning-based features and aggregated SIFT features. Further, we compress feature representation in large-scale image retrieval scenarios. We evaluate the performance of the proposed method on two public ground-truth datasets, with promising results. Experimental results on a million-scale image database demonstrate superior retrieval accuracy with efficiency gain in both computation and memory usage.<\/jats:p>","DOI":"10.1145\/2818708","type":"journal-article","created":{"date-parts":[[2015,10,24]],"date-time":"2015-10-24T14:27:12Z","timestamp":1445696832000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Scalable Object Retrieval with Compact Image Representation from Generic Object Regions"],"prefix":"10.1145","volume":"12","author":[{"given":"Shaoyan","family":"Sun","sequence":"first","affiliation":[{"name":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wengang","family":"Zhou","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Tian","sequence":"additional","affiliation":[{"name":"University of Texas at San Antonio, San Antonio, TX"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Houqiang","family":"Li","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,10,20]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.28"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2264677"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2355123"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_32"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Yoshua Bengio. 2009. Learning deep architectures for AI. Foundations and Trends\u00ae in Machine Learning 2 1 1--127. 10.1561\/2200000006","DOI":"10.1561\/2200000006"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995460"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.414"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2270455"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2014.6890176"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539997"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/1888150.1888195"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587597"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_26"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1823746.1823752"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1459359.1459449"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/2964398.2964456"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_24"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0285-2"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.57"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540039"},{"key":"e_1_2_1_22_1","volume-title":"Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093.","author":"Jia Yangqing","year":"2014","unstructured":"Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24670-1_18"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/1896300.1896374"},{"key":"e_1_2_1_25_1","volume-title":"Hinton","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012. ImageNet classification with deep convolutional neural networks. In Neural Information Processing Systems."},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1126004.1126005"},{"key":"e_1_2_1_27_1","article-title":"Cross-indexing of binary SIFT codes for large-scale image search","author":"Liu Zhen","year":"2014","unstructured":"Zhen Liu, Houqiang Li, Liyan Zhang, Wengang Zhou, and Qi Tian. 2014. Cross-indexing of binary SIFT codes for large-scale image search. IEEE Transactions on Image Processing.","journal-title":"IEEE Transactions on Image Processing."},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2399851"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2305072"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","unstructured":"David G. Lowe. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 91--110. 10.1023\/B:VISI.0000029664.99615.94","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2536798"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000027790.02288.f2"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.264"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","unstructured":"Aude Oliva and Antonio Torralba. 2001. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision 145--175. 10.1023\/A:1011139631724","DOI":"10.1023\/A:1011139631724"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/1888089.1888101"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.465"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2354756"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/946247.946751"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632856.2632923"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","unstructured":"JRR Uijlings KEA van de Sande T. Gevers and A. W. M. Smeulders. 2013. Selective search for object recognition. International Journal of Computer Vision 154--171. 10.1007\/s11263-013-0620-5","DOI":"10.1007\/s11263-013-0620-5"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654948"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2700292"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126244"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072034"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.12.011"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2408566"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2128333"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2251650"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_47"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.210"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.250"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.252"},{"key":"e_1_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2389624"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2422956.2422960"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-014-1472-3"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.08.016"},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2301979"}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2818708","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2818708","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2818708","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:44:56Z","timestamp":1763459096000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2818708"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,20]]},"references-count":58,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,3,3]]}},"alternative-id":["10.1145\/2818708"],"URL":"https:\/\/doi.org\/10.1145\/2818708","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"value":"1551-6857","type":"print"},{"value":"1551-6865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,10,20]]},"assertion":[{"value":"2014-12-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-05-01","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-10-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}