{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:47:05Z","timestamp":1772725625530,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":7,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,6,12]],"date-time":"2019-06-12T00:00:00Z","timestamp":1560297600000},"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":[[2019,6,12]]},"DOI":"10.1145\/3307334.3328589","type":"proceedings-article","created":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T12:56:45Z","timestamp":1560776205000},"page":"695-696","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":49,"title":["Video Analytics - Killer App for Edge Computing"],"prefix":"10.1145","author":[{"given":"Ganesh","family":"Ananthanarayanan","sequence":"first","affiliation":[{"name":"Microsoft Research, Redmond, WA, USA"}]},{"given":"Victor","family":"Bahl","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, WA, USA"}]},{"given":"Landon","family":"Cox","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, WA, USA"}]},{"given":"Alex","family":"Crown","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmong, WA, USA"}]},{"given":"Shadi","family":"Nogbahi","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, WA, USA"}]},{"given":"Yuanchao","family":"Shu","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, WA, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,6,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Chien-Chun Hung Ganesh Ananthanarayanan Peter Bod\u00edk Leana Golubchik Minlan Yu Victor Bahl Matthai Philipose. 2018. VideoEdge: Processing Camera Streams using Hierarchical Clusters. In ACM SEC.  Chien-Chun Hung Ganesh Ananthanarayanan Peter Bod\u00edk Leana Golubchik Minlan Yu Victor Bahl Matthai Philipose. 2018. VideoEdge: Processing Camera Streams using Hierarchical Clusters. In ACM SEC.","DOI":"10.1109\/SEC.2018.00016"},{"key":"e_1_3_2_1_2_1","unstructured":"Haoyu Zhang Ganesh Ananthanarayanan Peter Bod\u00edk Matthai Philipose Victor Bahl Michael Freedman. 2017. Live Video Analytics at Scale with Approximation and Delay-Tolerance. In USENIX NSDI.   Haoyu Zhang Ganesh Ananthanarayanan Peter Bod\u00edk Matthai Philipose Victor Bahl Michael Freedman. 2017. Live Video Analytics at Scale with Approximation and Delay-Tolerance. In USENIX NSDI."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230574"},{"key":"e_1_3_2_1_4_1","volume-title":"Focus: Querying Large Video Datasets with Low Latency and Low Cost. In USENIX OSDI.","author":"Hsieh Kevin","year":"2018"},{"key":"e_1_3_2_1_5_1","unstructured":"Microsoft. 2018. Azure Brainwave . https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/service\/concept-accelerate-with-fpgas .  Microsoft. 2018. Azure Brainwave . https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/service\/concept-accelerate-with-fpgas ."},{"key":"e_1_3_2_1_6_1","volume-title":"YOLO: Real-Time Object Detection . https:\/\/pjreddie.com\/darknet\/yolo\/.","author":"Redmon Joseph","year":"2018"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Samvit Jain Ganesh Ananthanarayanan Junchen Jiang Yuanchao Shu Joseph E. Gonzalez. 2019. Scaling Video Analytics Systems to Large Camera Deployments. In ACM HotMobile.  Samvit Jain Ganesh Ananthanarayanan Junchen Jiang Yuanchao Shu Joseph E. Gonzalez. 2019. Scaling Video Analytics Systems to Large Camera Deployments. In ACM HotMobile.","DOI":"10.1145\/3301293.3302366"}],"event":{"name":"MobiSys '19: The 17th Annual International Conference on Mobile Systems, Applications, and Services","location":"Seoul Republic of Korea","acronym":"MobiSys '19","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3307334.3328589","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3307334.3328589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:21Z","timestamp":1750202001000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3307334.3328589"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,12]]},"references-count":7,"alternative-id":["10.1145\/3307334.3328589","10.1145\/3307334"],"URL":"https:\/\/doi.org\/10.1145\/3307334.3328589","relation":{},"subject":[],"published":{"date-parts":[[2019,6,12]]},"assertion":[{"value":"2019-06-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}