{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:20:39Z","timestamp":1771024839257,"version":"3.50.1"},"publisher-location":"New York, New York, USA","reference-count":33,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shanghai Science and Technology Commision","award":["No.1751110420"],"award-info":[{"award-number":["No.1751110420"]}]},{"name":"NSFC","award":["No. 61472087"],"award-info":[{"award-number":["No. 61472087"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3184558.3186581","type":"proceedings-article","created":{"date-parts":[[2018,4,18]],"date-time":"2018-04-18T18:04:25Z","timestamp":1524074665000},"page":"647-654","source":"Crossref","is-referenced-by-count":27,"title":["Urban Perception of Commercial Activeness from Satellite Images and Streetscapes"],"prefix":"10.1145","author":[{"given":"Wenshan","family":"Wang","sequence":"first","affiliation":[{"name":"Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Su","family":"Yang","sequence":"additional","affiliation":[{"name":"Fudan University & Xi'an University of Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"He","sequence":"additional","affiliation":[{"name":"Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiulong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xi'an University of Technology, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weishan","family":"Zhang","sequence":"additional","affiliation":[{"name":"China University of Petroleum, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3184558.3186581-1","doi-asserted-by":"crossref","unstructured":"S. M. Arietta, A. A. Efros, R. Ramamoorthi, and M. Agrawala. 2014. City Forensics: Using Visual Elements to Predict Non-Visual City Attributes. IEEE Transactions on Visualization and Computer Graphics 20, 12 (Dec 2014), 2624--2633. https: \/\/doi.org\/10.1109\/TVCG.2014.2346446","DOI":"10.1109\/TVCG.2014.2346446"},{"key":"key-10.1145\/3184558.3186581-2","doi-asserted-by":"crossref","unstructured":"S. Bakhshi, P. Kanuparthy, and E. Gilbert. 2014. Demographics, Weather and Online Reviews: A Study of Restaurant Recommendations. In Proceedings of the 23rd International Conference on World Wide Web (WWW '14). ACM, New York, NY, USA, 443--454. https:\/\/doi.org\/10.1145\/2566486.2568021","DOI":"10.1145\/2566486.2568021"},{"key":"key-10.1145\/3184558.3186581-3","unstructured":"Ssb. Chen, S. Ma., and D. Dl. 2001. Atomic decomposition by basis pursuit. Siam Review 43, 1 (2001), 33--61."},{"key":"key-10.1145\/3184558.3186581-4","doi-asserted-by":"crossref","unstructured":"Y. Chen, Z. Lin, X. Zhao, G. Wang, and Y. Gu. 2014. Deep Learning-Based Classification of Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, 6 (June 2014), 2094--2107. https:\/\/doi. org\/10.1109\/JSTARS.2014.2329330","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"key-10.1145\/3184558.3186581-5","unstructured":"G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray. 2004. Visual categorization with bags of keypoints. Workshop on Statistical Learning in Computer Vision Eccv (2004), 1--22."},{"key":"key-10.1145\/3184558.3186581-6","unstructured":"N. Dalal and B. Triggs. 2005. Histograms of oriented gradients for human detection. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), Vol. 1. 886--893 vol. 1. https:\/\/doi.org\/10.1109\/CVPR.2005. 177"},{"key":"key-10.1145\/3184558.3186581-7","doi-asserted-by":"crossref","unstructured":"M. De Nadai, R. L. Vieriu, G. Zen, S. Dragicevic, N. Naik, M. Caraviello, C. A. Hidalgo, N. Sebe, and B. Lepri. 2016. Are Safer Looking Neighborhoods More Lively: A Multimodal Investigation into Urban Life. In Proceedings of the 2016 ACM on Multimedia Conference (MM '16). ACM, New York, NY, USA, 1127--1135. https:\/\/doi.org\/10.1145\/2964284.2964312","DOI":"10.1145\/2964284.2964312"},{"key":"key-10.1145\/3184558.3186581-8","doi-asserted-by":"crossref","unstructured":"A. Dubey, N. Naik, D. Parikh, R. Raskar, and C. A. Hidalgo. 2016. Deep Learning the City: Quantifying Urban Perception at a Global Scale. In Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part I. Springer International Publishing, Cham, 196--212. https:\/\/doi.org\/10.1007\/978--3--319--46448-0_12","DOI":"10.1007\/978-3-319-46448-0_12"},{"key":"key-10.1145\/3184558.3186581-9","doi-asserted-by":"crossref","unstructured":"P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. 2010. Object Detection with Discriminatively Trained Part-Based Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 9 (Sept 2010), 1627--1645. https: \/\/doi.org\/10.1109\/TPAMI.2009.167","DOI":"10.1109\/TPAMI.2009.167"},{"key":"key-10.1145\/3184558.3186581-10","doi-asserted-by":"crossref","unstructured":"T. Gebru, J. Krause, Y. Wang, D. Chen, J. Deng, E. L. Aiden, and L. Fei-Fei. 2017. Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. Proceedings of the National Academy of Sciences 114, 50 (2017), 13108--13113. https:\/\/doi.org\/10.1073\/pnas.1700035114 arXiv:http:\/\/www.pnas.org\/content\/114\/50\/13108.full.pdf","DOI":"10.1073\/pnas.1700035114"},{"key":"key-10.1145\/3184558.3186581-11","unstructured":"D. Gimenez, A. Posadas, and M. Cooper. 2003. Multifractal Characterization of Soil Pore Shapes. Soil Science Society of America Journal 08901, 12 (2003), 6388--6394."},{"key":"key-10.1145\/3184558.3186581-12","doi-asserted-by":"crossref","unstructured":"G. E. Hinton and R. R. Salakhutdinov. 2006. Reducing the Dimensionality of Data with Neural Networks. Science 313, 5786 (2006), 504--507. https:\/\/doi.org\/10.1126\/science.1127647 arXiv:http:\/\/science.sciencemag.org\/content\/313\/5786\/504.full.pdf","DOI":"10.1126\/science.1127647"},{"key":"key-10.1145\/3184558.3186581-13","doi-asserted-by":"crossref","unstructured":"M. Hu and B. Liu. 2004. Mining and Summarizing Customer Reviews. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '04). ACM, New York, NY, USA, 168--177. https:\/\/doi.org\/10.1145\/1014052.1014073","DOI":"10.1145\/1014052.1014073"},{"key":"key-10.1145\/3184558.3186581-14","doi-asserted-by":"crossref","unstructured":"N. Jean, M. Burke, M. Xie, W. M. Davis, D. B. Lobell, and S. Ermon. 2016. Combining satellite imagery and machine learning to predict poverty. Science 353, 6301 (2016), 790--794.","DOI":"10.1126\/science.aaf7894"},{"key":"key-10.1145\/3184558.3186581-15","doi-asserted-by":"crossref","unstructured":"A. Khosla, B. An, J. J. Lim, and A. Torralba. 2014. Looking Beyond the Visible Scene. In 2014 IEEE Conference on Computer Vision and Pattern Recognition. 3710-- 3717. https:\/\/doi.org\/10.1109\/CVPR.2014.474","DOI":"10.1109\/CVPR.2014.474"},{"key":"key-10.1145\/3184558.3186581-16","doi-asserted-by":"crossref","unstructured":"J. Levy Vehel, P. Mignot, and J. Berroir. 1992. Multifractals, texture, and image analysis. In Computer Vision and Pattern Recognition, 1992. Proceedings CVPR 92., 1992 IEEE Computer Society Conference on. 661--664.","DOI":"10.1109\/CVPR.1992.223207"},{"key":"key-10.1145\/3184558.3186581-17","doi-asserted-by":"crossref","unstructured":"R. Lopes and N. Betrouni. 2009. Fractal and multifractal analysis: A review. Medical Image Analysis 13, 4 (2009), 634--649.","DOI":"10.1016\/j.media.2009.05.003"},{"key":"key-10.1145\/3184558.3186581-18","doi-asserted-by":"crossref","unstructured":"J. Mairal, F. Bach, J. Ponce, and G. Sapiro. 2009. Online dictionary learning for sparse coding. In International Conference on Machine Learning. 689--696.","DOI":"10.1145\/1553374.1553463"},{"key":"key-10.1145\/3184558.3186581-19","doi-asserted-by":"crossref","unstructured":"N. Naik, S. D. Kominers, R. Raskar, E. L. Glaeser, and C. A. Hidalgo. 2017. Computer vision uncovers predictors of physical urban change. Proceedings of the National Academy of Sciences 114, 29 (2017), 7571--7576. https:\/\/doi.org\/10.1073\/pnas. 1619003114 arXiv:http:\/\/www.pnas.org\/content\/114\/29\/7571.full.pdf","DOI":"10.1073\/pnas"},{"key":"key-10.1145\/3184558.3186581-20","doi-asserted-by":"crossref","unstructured":"N. Naik, J. Philipoom, R. Raskar, and C. Hidalgo. 2014. Streetscore--Predicting the Perceived Safety of One Million Streetscapes. In 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops. 793--799. https:\/\/doi.org\/10. 1109\/CVPRW.2014.121","DOI":"10.1109\/CVPRW.2014.121"},{"key":"key-10.1145\/3184558.3186581-21","doi-asserted-by":"crossref","unstructured":"A. Oliva and A. Torralba. 2001. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. International Journal of Computer Vision 42, 3 (2001), 145--175.","DOI":"10.1023\/A:1011139631724"},{"key":"key-10.1145\/3184558.3186581-22","doi-asserted-by":"crossref","unstructured":"V. Ordonez and T. L. Berg. 2014. Learning High-Level Judgments of Urban Perception. In Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6--12, 2014, Proceedings, Part VI. Springer International Publishing, Cham, 494--510. https:\/\/doi.org\/10.1007\/978--3--319--10599--4_32","DOI":"10.1007\/978-3-319-10599-4_32"},{"key":"key-10.1145\/3184558.3186581-23","doi-asserted-by":"crossref","unstructured":"A. P. Pentland. 1984. Fractal-based description of natural scenes. IEEE Transactions on Pattern Analysis &#38; Machine Intelligence 6, 6 (1984), 661--74.","DOI":"10.1109\/TPAMI.1984.4767591"},{"key":"key-10.1145\/3184558.3186581-24","doi-asserted-by":"crossref","unstructured":"L. Porzi, S. Rota Bul&#242;, B. Lepri, and E. Ricci. 2015. Predicting and Understanding Urban Perception with Convolutional Neural Networks. In Proceedings of the 23rd ACM International Conference on Multimedia (MM '15). ACM, New York, NY, USA, 139--148. https:\/\/doi.org\/10.1145\/2733373.2806273","DOI":"10.1145\/2733373.2806273"},{"key":"key-10.1145\/3184558.3186581-25","doi-asserted-by":"crossref","unstructured":"D. Quercia, N. K. OHare, and H. Cramer. 2014. Aesthetic Capital: What Makes London Look Beautiful, Quiet, and Happy. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work; Social Computing (CSCW '14). ACM, New York, NY, USA, 945--955. https:\/\/doi.org\/10.1145\/2531602.2531613","DOI":"10.1145\/2531602.2531613"},{"key":"key-10.1145\/3184558.3186581-26","doi-asserted-by":"crossref","unstructured":"P. Salesses, K. Schechtner, and C. A. Hidalgo. 2013. The Collaborative Image of The City: Mapping the Inequality of Urban Perception. PLOS ONE 8, 7 (07 2013), 1--12. https:\/\/doi.org\/10.1371\/journal.pone.0068400","DOI":"10.1371\/journal.pone.0068400"},{"key":"key-10.1145\/3184558.3186581-27","doi-asserted-by":"crossref","unstructured":"B. Scholkopf, A. J. Smola, R. C. Williamson, and P. L. Bartlett. 2000. New support vector algorithms. Neural Computation 12, 5 (2000), 1207--1245.","DOI":"10.1162\/089976600300015565"},{"key":"key-10.1145\/3184558.3186581-28","doi-asserted-by":"crossref","unstructured":"J. Sivic and A. Zisserman. 2003. Video Google: a text retrieval approach to object matching in videos. In Proceedings Ninth IEEE International Conference on Computer Vision. 1470--1477 vol.2. https:\/\/doi.org\/10.1109\/ICCV.2003.1238663","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"key-10.1145\/3184558.3186581-29","unstructured":"P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P. A. Manzagol. 2010. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. J. Mach. Learn. Res. 11 (Dec. 2010), 3371--3408. http:\/\/dl.acm.org\/citation.cfmid=1756006.1953039"},{"key":"key-10.1145\/3184558.3186581-30","doi-asserted-by":"crossref","unstructured":"M. Wang, S. Yang, Y. Sun, and J. Gao. 2017. Human mobility prediction from region functions with taxi trajectories. PLOS ONE 12, 11 (11 2017), 1--23. https: \/\/doi.org\/10.1371\/journal.pone.0188735","DOI":"10.1371\/journal.pone.0188735"},{"key":"key-10.1145\/3184558.3186581-31","doi-asserted-by":"crossref","unstructured":"J. Yuan, Y. Zheng, and X. Xie. 2012. Discovering Regions of Different Functions in a City Using Human Mobility and POIs. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '12). ACM, New York, NY, USA, 186--194. https:\/\/doi.org\/10.1145\/2339530.2339561","DOI":"10.1145\/2339530.2339561"},{"key":"key-10.1145\/3184558.3186581-32","doi-asserted-by":"crossref","unstructured":"Y. Zhong, N. J. Yuan, W. Zhong, F. Zhang, and X. Xie. 2015. You Are Where You Go: Inferring Demographic Attributes from Location Check-ins. In Proceedings of the Eighth ACM International Conference on Web Search and Data Mining (WSDM '15). ACM, New York, NY, USA, 295--304. https:\/\/doi.org\/10.1145\/2684822.2685287","DOI":"10.1145\/2684822.2685287"},{"key":"key-10.1145\/3184558.3186581-33","doi-asserted-by":"crossref","unstructured":"B. Zhou, L. Liu, A. Oliva, and A. Torralba. 2014. Recognizing City Identity via Attribute Analysis of Geo-tagged Images. In Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6--12, 2014, Proceedings, Part III. Springer International Publishing, Cham, 519--534. https:\/\/doi.org\/10.1007\/ 978--3--319--10578--9_34","DOI":"10.1007\/978-3-319-10578-9_34"}],"event":{"name":"Companion of the The Web Conference 2018","location":"Lyon, France","acronym":"WWW '18","number":"2018","sponsor":["IW3C2, International World Wide Web Conference Committee","SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"start":{"date-parts":[[2018,4,23]]},"end":{"date-parts":[[2018,4,27]]}},"container-title":["Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3184558.3186581","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3186581&ftid=1958237&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:26:07Z","timestamp":1750213567000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3184558.3186581"}},"subtitle":[],"proceedings-subject":"The Web Conference 2018","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1145\/3184558.3186581","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}