{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T14:18:40Z","timestamp":1761401920789,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T00:00:00Z","timestamp":1507766400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,10,12]]},"DOI":"10.1145\/3132211.3134456","type":"proceedings-article","created":{"date-parts":[[2017,11,3]],"date-time":"2017-11-03T12:36:10Z","timestamp":1509712570000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":32,"title":["Precog"],"prefix":"10.1145","author":[{"given":"Utsav","family":"Drolia","sequence":"first","affiliation":[{"name":"Carnegie Mellon University"}]},{"given":"Katherine","family":"Guo","sequence":"additional","affiliation":[{"name":"Nokia Bell Labs"}]},{"given":"Priya","family":"Narasimhan","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University"}]}],"member":"320","published-online":{"date-parts":[[2017,10,12]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Amazon Flow. https:\/\/www.a9.com\/whatwedo\/mobile-technology\/flow-powered-by-amazon\/.  Amazon Flow. https:\/\/www.a9.com\/whatwedo\/mobile-technology\/flow-powered-by-amazon\/."},{"key":"e_1_3_2_1_2_1","unstructured":"Amazon Rekognition. https:\/\/aws.amazon.com\/rekognition\/.  Amazon Rekognition. https:\/\/aws.amazon.com\/rekognition\/."},{"key":"e_1_3_2_1_3_1","unstructured":"Artbit. http:\/\/www.artbit.com\/.  Artbit. http:\/\/www.artbit.com\/."},{"key":"e_1_3_2_1_4_1","unstructured":"Catchoom. https:\/\/catchoom.com\/.  Catchoom. https:\/\/catchoom.com\/."},{"key":"e_1_3_2_1_5_1","unstructured":"Facebook's image recognition can now tell what you're wearing. http:\/\/mashable.com\/2017\/02\/02\/facebook-computer-vision-ai-upgrade\/.  Facebook's image recognition can now tell what you're wearing. http:\/\/mashable.com\/2017\/02\/02\/facebook-computer-vision-ai-upgrade\/."},{"key":"e_1_3_2_1_6_1","unstructured":"Google Cloud Vision. https:\/\/cloud.google.com\/vision\/.  Google Cloud Vision. https:\/\/cloud.google.com\/vision\/."},{"key":"e_1_3_2_1_7_1","unstructured":"Google Glass. https:\/\/en.wikipedia.org\/wiki\/Google_Glass.  Google Glass. https:\/\/en.wikipedia.org\/wiki\/Google_Glass."},{"key":"e_1_3_2_1_8_1","unstructured":"Google protocol buffers. http:\/\/developers.google.com\/protocol-buffers\/.  Google protocol buffers. http:\/\/developers.google.com\/protocol-buffers\/."},{"key":"e_1_3_2_1_9_1","unstructured":"How Apple can fix Siri. http:\/\/www.businessinsider.com\/how-apple-could-fix-siri-2016-6.  How Apple can fix Siri. http:\/\/www.businessinsider.com\/how-apple-could-fix-siri-2016-6."},{"key":"e_1_3_2_1_10_1","unstructured":"IBM Watson. https:\/\/www.ibm.com\/watson\/developercloud\/visual-recognition.html.  IBM Watson. https:\/\/www.ibm.com\/watson\/developercloud\/visual-recognition.html."},{"key":"e_1_3_2_1_11_1","unstructured":"Latency Is Everywhere And It Costs You Sales - How To Crush It. http:\/\/highscalability.com\/latency-everywhere-and-it-costs-you-sales-how-crush-it.  Latency Is Everywhere And It Costs You Sales - How To Crush It. http:\/\/highscalability.com\/latency-everywhere-and-it-costs-you-sales-how-crush-it."},{"key":"e_1_3_2_1_12_1","unstructured":"Microsoft Cognitive Services. https:\/\/www.microsoft.com\/cognitive-services.  Microsoft Cognitive Services. https:\/\/www.microsoft.com\/cognitive-services."},{"key":"e_1_3_2_1_13_1","unstructured":"Microsoft Hololens. https:\/\/www.microsoft.com\/microsoft-hololens\/en-us.  Microsoft Hololens. https:\/\/www.microsoft.com\/microsoft-hololens\/en-us."},{"key":"e_1_3_2_1_14_1","unstructured":"Mobileye. http:\/\/www.mobileye.com\/our-technology\/.  Mobileye. http:\/\/www.mobileye.com\/our-technology\/."},{"key":"e_1_3_2_1_15_1","unstructured":"NavVis. http:\/\/www.navvis.com\/products\/navigation-app\/.  NavVis. http:\/\/www.navvis.com\/products\/navigation-app\/."},{"key":"e_1_3_2_1_16_1","unstructured":"OpenCV Library. http:\/\/opencv.org\/.  OpenCV Library. http:\/\/opencv.org\/."},{"key":"e_1_3_2_1_17_1","unstructured":"Snapchat applies for patent to serve ads by recognizing objects in your snaps. http:\/\/www.theverge.com\/2016\/7\/18\/12211292\/snapchat-object-recognition-advertising.  Snapchat applies for patent to serve ads by recognizing objects in your snaps. http:\/\/www.theverge.com\/2016\/7\/18\/12211292\/snapchat-object-recognition-advertising."},{"key":"e_1_3_2_1_18_1","unstructured":"Vuforia. https:\/\/www.vuforia.com\/.  Vuforia. https:\/\/www.vuforia.com\/."},{"key":"e_1_3_2_1_19_1","unstructured":"Wikitude. http:\/\/www.wikitude.com\/.  Wikitude. http:\/\/www.wikitude.com\/."},{"key":"e_1_3_2_1_20_1","unstructured":"ZeroMQ. http:\/\/zeromq.org\/.  ZeroMQ. http:\/\/zeromq.org\/."},{"key":"e_1_3_2_1_21_1","volume-title":"Global Mobile Data Traffic Forecast Update","author":"Networking Index Cisco Visual","year":"2016","unstructured":"Cisco Visual Networking Index : Global Mobile Data Traffic Forecast Update , 2016 --2021 White Paper . http:\/\/www.cisco.com\/c\/en\/us\/solutions\/collateral\/service-provider\/visual-networking-index-vni\/mobile-white-paper-c11-520862.html, March 2017. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016--2021 White Paper. http:\/\/www.cisco.com\/c\/en\/us\/solutions\/collateral\/service-provider\/visual-networking-index-vni\/mobile-white-paper-c11-520862.html, March 2017."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_32"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2342509.2342513"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1943552.1943568"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809711"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/997817.997857"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.94"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2795381.2795388"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/IC2E.2013.17"},{"key":"e_1_3_2_1_30_1","volume-title":"August","author":"Hecht J.","year":"2016","unstructured":"J. Hecht . The bandwidth bottleneck that is throttling the Internet . http:\/\/www.nature.com\/news\/the-bandwidth-bottleneck-that-is-throttling-the-internet-1.20392 , August 2016 . J. Hecht. The bandwidth bottleneck that is throttling the Internet. http:\/\/www.nature.com\/news\/the-bandwidth-bottleneck-that-is-throttling-the-internet-1.20392, August 2016."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2307636.2307651"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2699343.2699351"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/NetGames.2014.7008961"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2742647.2742666"},{"key":"e_1_3_2_1_35_1","first-page":"1097","volume-title":"Advances in neural information processing systems","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever , and G. E. Hinton . Imagenet classification with deep convolutional neural networks . In Advances in neural information processing systems , pages 1097 -- 1105 , 2012 . A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097--1105, 2012."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2016.7460664"},{"key":"e_1_3_2_1_37_1","first-page":"64","volume-title":"IEEE\/ACM Symposium on","author":"Li D.","year":"2016","unstructured":"D. Li , T. Salonidis , N. V. Desai , and M. C. Chuah . Deepcham: Collaborative edge-mediated adaptive deep learning for mobile object recognition. In Edge Computing (SEC) , IEEE\/ACM Symposium on , pages 64 -- 76 . IEEE, 2016 . D. Li, T. Salonidis, N. V. Desai, and M. C. Chuah. Deepcham: Collaborative edge-mediated adaptive deep learning for mobile object recognition. In Edge Computing (SEC), IEEE\/ACM Symposium on, pages 64--76. IEEE, 2016."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"e_1_3_2_1_39_1","first-page":"950","volume-title":"Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB '07","author":"Lv Q.","year":"2007","unstructured":"Q. Lv , W. Josephson , Z. Wang , M. Charikar , and K. Li . Multi-probe lsh: Efficient indexing for high-dimensional similarity search . In Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB '07 , pages 950 -- 961 . VLDB Endowment , 2007 . Q. Lv, W. Josephson, Z. Wang, M. Charikar, and K. Li. Multi-probe lsh: Efficient indexing for high-dimensional similarity search. In Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB '07, pages 950--961. VLDB Endowment, 2007."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2016.7456513"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1997.609310"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/235160.235164"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2493432.2493490"},{"key":"e_1_3_2_1_44_1","unstructured":"R. Rieland. Augmented Reality Livens up Museums. http:\/\/www.smithsonianmag.com\/innovation\/augmented-reality-livens-up-museums-22323417\/ August 2012.  R. Rieland. Augmented Reality Livens up Museums. http:\/\/www.smithsonianmag.com\/innovation\/augmented-reality-livens-up-museums-22323417\/ August 2012."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2009.82"},{"key":"e_1_3_2_1_47_1","volume-title":"January","author":"Sawers P.","year":"2017","unstructured":"P. Sawers . Google opens Tango augmented reality platform to museums, starting with Detroit Institute of Arts. https:\/\/venturebeat.com\/2017\/01\/09\/google-tango-museums\/ , January 2017 . P. Sawers. Google opens Tango augmented reality platform to museums, starting with Detroit Institute of Arts. https:\/\/venturebeat.com\/2017\/01\/09\/google-tango-museums\/, January 2017."},{"key":"e_1_3_2_1_48_1","first-page":"806","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition workshops","author":"Razavian A. Sharif","year":"2014","unstructured":"A. Sharif Razavian , H. Azizpour , J. Sullivan , and S. Carlsson . Cnn features off-the-shelf: an astounding baseline for recognition . In Proceedings of the IEEE conference on computer vision and pattern recognition workshops , pages 806 -- 813 , 2014 . A. Sharif Razavian, H. Azizpour, J. Sullivan, and S. Carlsson. Cnn features off-the-shelf: an astounding baseline for recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pages 806--813, 2014."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587638"},{"key":"e_1_3_2_1_50_1","volume-title":"algorithms and applications","author":"Szeliski R.","year":"2010","unstructured":"R. Szeliski . Computer vision : algorithms and applications . Springer Science & ; Business Media, 2010 . R. Szeliski. Computer vision: algorithms and applications. Springer Science &; Business Media, 2010."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126244"}],"event":{"name":"SEC '17: IEEE\/ACM Symposium on Edge Computing","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","IEEE-CS\\DATC IEEE Computer Society"],"location":"San Jose California","acronym":"SEC '17"},"container-title":["Proceedings of the Second ACM\/IEEE Symposium on Edge Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132211.3134456","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132211.3134456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:56Z","timestamp":1750212836000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132211.3134456"}},"subtitle":["&lt;u&gt;p&lt;\/u&gt;refetching for image &lt;u&gt;recog&lt;\/u&gt;nition applications at the edge"],"short-title":[],"issued":{"date-parts":[[2017,10,12]]},"references-count":52,"alternative-id":["10.1145\/3132211.3134456","10.1145\/3132211"],"URL":"https:\/\/doi.org\/10.1145\/3132211.3134456","relation":{},"subject":[],"published":{"date-parts":[[2017,10,12]]},"assertion":[{"value":"2017-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}