{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T20:36:27Z","timestamp":1768422987151,"version":"3.49.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,20]]},"DOI":"10.1109\/infocom52122.2024.10621116","type":"proceedings-article","created":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T17:25:41Z","timestamp":1723483541000},"page":"1191-1200","source":"Crossref","is-referenced-by-count":2,"title":["Crucio: End-to-End Coordinated Spatio-Temporal Redundancy Elimination for Fast Video Analytics"],"prefix":"10.1109","author":[{"given":"Andong","family":"Zhu","sequence":"first","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,China"}]},{"given":"Sheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,China"}]},{"given":"Xiaohang","family":"Shi","sequence":"additional","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,China"}]},{"given":"Ke","family":"Cheng","sequence":"additional","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,China"}]},{"given":"Hesheng","family":"Sun","sequence":"additional","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,China"}]},{"given":"Sanglu","family":"Lu","sequence":"additional","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine","volume-title":"Proceedings of Conference on Innovative Data Systems Research (CIDR)","author":"Kang"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.3641638"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488741"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3458305.3463381"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405887"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3300061.3300116"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0923-5965(01)00026-1"},{"key":"ref8","first-page":"406","article-title":"Scaling Video Analytics on Constrained Edge Nodes","volume-title":"Proceedings of Machine Learning and Systems","volume":"1","author":"Canel"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2970413"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809711"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405874"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796657"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3162598"},{"key":"ref14","first-page":"707","article-title":"CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics","volume-title":"Proceedings of USENIX Annual Technical Conference (ATC)","author":"Hwang"},{"key":"ref15","first-page":"103","article-title":"Swift: Adaptive Video Streaming with Layered Neural Codecs","volume-title":"Proceedings of USENIX Symposium on Networked Systems Design and Implementation (NSDI)","author":"Dasari"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3524273.3532906"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419185"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01594"},{"key":"ref19","article-title":"MAR: Masked Autoencoders for Efficient Action Recognition","author":"Qing","year":"2023","journal-title":"IEEE Transactions on Multimedia"},{"key":"ref20","article-title":"VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training","volume-title":"Proceedings of Advances in Neural Information Processing Systems (NeurIPS)","author":"Tong"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/DCC50243.2021.00024"},{"key":"ref22","article-title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","author":"Chung","year":"2014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00240"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230554"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/PACCS.2009.89"},{"key":"ref28","article-title":"SqueezeNet: AlexNet-level Accuracy with 50x Fewer Parameters and< 0.5 MB Model Size","author":"Iandola","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.33564\/ijeast.2020.v04i12.054"},{"key":"ref30","article-title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","volume-title":"Proceedings of Advances in Neural Information Processing Systems (NeurIPS)","volume":"32","author":"Paszke"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1561\/2200000044"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139176224"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084827"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4236\/jcc.2019.73002"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20870-7_36"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICECCT.2017.8117850"},{"key":"ref37","article-title":"Youtube-Objects dataset: A Large-scale Database of Object Videos from YouTube","author":"Prest","year":"2012"},{"key":"ref38","article-title":"Measuring Broadband Raw Data Releases - Fixed","year":"2023"}],"event":{"name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","location":"Vancouver, BC, Canada","start":{"date-parts":[[2024,5,20]]},"end":{"date-parts":[[2024,5,23]]}},"container-title":["IEEE INFOCOM 2024 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10621050\/10621073\/10621116.pdf?arnumber=10621116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T05:23:44Z","timestamp":1723526624000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10621116\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,20]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/infocom52122.2024.10621116","relation":{},"subject":[],"published":{"date-parts":[[2024,5,20]]}}}