{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T09:55:48Z","timestamp":1773482148162,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["2238431"],"award-info":[{"award-number":["2238431"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["1908984"],"award-info":[{"award-number":["1908984"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1145\/3595360.3595858","type":"proceedings-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T18:23:38Z","timestamp":1686939818000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["EVA: An End-to-End Exploratory Video Analytics System"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2750-5052","authenticated-orcid":false,"given":"Gaurav Tarlok","family":"Kakkar","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0079-2146","authenticated-orcid":false,"given":"Jiashen","family":"Cao","sequence":"additional","affiliation":[{"name":"Georgia Tech, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5163-6234","authenticated-orcid":false,"given":"Pramod","family":"Chunduri","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1507-6975","authenticated-orcid":false,"given":"Zhuangdi","family":"Xu","sequence":"additional","affiliation":[{"name":"Georgia Tech, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4968-0583","authenticated-orcid":false,"given":"Suryatej Reddy","family":"Vyalla","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0330-3700","authenticated-orcid":false,"given":"Prashanth","family":"Dintyala","sequence":"additional","affiliation":[{"name":"Georgia Tech, Atlanta, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2374-7121","authenticated-orcid":false,"given":"Anirudh","family":"Prabakaran","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1656-3372","authenticated-orcid":false,"given":"Jaeho","family":"Bang","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0390-2615","authenticated-orcid":false,"given":"Aubhro","family":"Sengupta","sequence":"additional","affiliation":[{"name":"Georgia Tech, Atlanta, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0413-6058","authenticated-orcid":false,"given":"Kaushik","family":"Ravichandran","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, IN"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5022-6169","authenticated-orcid":false,"given":"Ishwarya","family":"Sivakumar","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6945-4281","authenticated-orcid":false,"given":"Aryan","family":"Rajoria","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1470-5891","authenticated-orcid":false,"given":"Ashmita","family":"Raju","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2443-7912","authenticated-orcid":false,"given":"Tushar","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7972-1665","authenticated-orcid":false,"given":"Abdullah","family":"Shah","sequence":"additional","affiliation":[{"name":"Georgia Tech, Atlanta, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1000-2371","authenticated-orcid":false,"given":"Sanjana","family":"Garg","sequence":"additional","affiliation":[{"name":"Georgia Tech, Atlanta, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1543-9485","authenticated-orcid":false,"given":"Shashank","family":"Suman","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1890-8482","authenticated-orcid":false,"given":"Myna Prasanna","family":"Kalluraya","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8436-3119","authenticated-orcid":false,"given":"Subrata","family":"Mitra","sequence":"additional","affiliation":[{"name":"Adobe Research, Bangalore, IN"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4054-2958","authenticated-orcid":false,"given":"Ali","family":"Payani","sequence":"additional","affiliation":[{"name":"Cisco Systems Inc., California, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6025-1878","authenticated-orcid":false,"given":"Yao","family":"Lu","sequence":"additional","affiliation":[{"name":"Microsoft Research, Redmond, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4071-684X","authenticated-orcid":false,"given":"Umakishore","family":"Ramachandran","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, US"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7706-6978","authenticated-orcid":false,"given":"Joy","family":"Arulraj","sequence":"additional","affiliation":[{"name":"Georgia Tech, Atlanta, US"}]}],"member":"320","published-online":{"date-parts":[[2023,6,18]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Apache Parquet. https:\/\/parquet.apache.org\/."},{"key":"e_1_3_2_1_2_1","unstructured":"EVA Video Database System. https:\/\/pypi.org\/project\/evadb\/."},{"key":"e_1_3_2_1_3_1","volume-title":"VLDB","author":"Alekh Jindal S. R.","year":"2018","unstructured":"S. R. Alekh Jindal, Konstantions Karanasos and H. Patel. Selecting Subexpressions to Materialize at Datacenter Scale. In VLDB, 2018."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389692"},{"key":"e_1_3_2_1_5_1","volume-title":"The OpenCV Library. Dr. Dobb's Journal of Software Tools","author":"Bradski G.","year":"2000","unstructured":"G. Bradski. The OpenCV Library. Dr. Dobb's Journal of Software Tools, 2000."},{"key":"e_1_3_2_1_6_1","unstructured":"E. Brewer. Volcano & the Exchange Operator 2022."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3517857"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526181"},{"key":"e_1_3_2_1_9_1","volume-title":"TASM: A Tile-Based Storage Manager for Video Analytics. ArXiv, abs\/2006.02958","author":"Daum M.","year":"2020","unstructured":"M. Daum, B. Haynes, D. He, A. Mazumdar, M. Balazinska, and A. Cheung. TASM: A Tile-Based Storage Manager for Video Analytics. ArXiv, abs\/2006.02958, 2020."},{"key":"e_1_3_2_1_10_1","volume-title":"CIDR","author":"Daum M.","year":"2022","unstructured":"M. Daum, E. Zhang, D. He, M. Balazinska, B. Haynes, R. Krishna, A. Craig, and A. Wirsing. VOCAL: Video Organization and Interactive Compositional AnaLytics. In CIDR, 2022."},{"key":"e_1_3_2_1_11_1","volume-title":"A new golden age in computer architecture: Empowering the machine-learning revolution. MICRO, 38(2):21--29","author":"Dean J.","year":"2018","unstructured":"J. Dean, D. Patterson, and C. Young. A new golden age in computer architecture: Empowering the machine-learning revolution. MICRO, 38(2):21--29, 2018. Publisher: IEEE."},{"key":"e_1_3_2_1_12_1","first-page":"12","article-title":"Predators reduce niche overlap between sympatric prey","author":"Dellinger J.","year":"2021","unstructured":"J. Dellinger, C. Shores, A. Craig, S. Kachel, M. Heithaus, W. Ripple, and A. Wirsing. Predators reduce niche overlap between sympatric prey. Oikos, 12 2021.","journal-title":"Oikos"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/1331939.1331940"},{"key":"e_1_3_2_1_14_1","volume-title":"Importlib - the implementation of import","author":"Foundation P. S.","year":"2022","unstructured":"P. S. Foundation. Importlib - the implementation of import, 2022."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/375663.375748"},{"key":"e_1_3_2_1_16_1","volume-title":"CIDR","author":"Gandhi A.","year":"2023","unstructured":"A. Gandhi, Y. Asada, V. Fu, A. Gemawat, L. Zhang, R. Sen, C. Curino, J. Camacho-Rodr\u00edguez, and M. Interlandi. The Tensor Data Platform: Towards an AI-centric Database System. CIDR, 2023."},{"issue":"3","key":"e_1_3_2_1_17_1","first-page":"19","article-title":"The Cascades Framework for Query Optimization","volume":"18","author":"Graefe G.","year":"1995","unstructured":"G. Graefe. The Cascades Framework for Query Optimization. IEEE Data Eng. Bull., 18(3):19--29, 1995.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_1_18_1","first-page":"1567","volume-title":"Intra-Query Parallelism","author":"Hardavellas N.","year":"2009","unstructured":"N. Hardavellas and I. Pandis. Intra-Query Parallelism, pages 1567--1568. Springer US, Boston, MA, 2009."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00227-001-0711-7"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.14778\/3372716.3372725"},{"issue":"11","key":"e_1_3_2_1_21_1","first-page":"1586","article-title":"NoScope: Optimizing Neural Network Queries over Video at Scale","volume":"10","author":"Kang D.","year":"2017","unstructured":"D. Kang, J. Emmons, F. Abuzaid, P. Bailis, and M. Zaharia. NoScope: Optimizing Neural Network Queries over Video at Scale. VLDB, 10(11):1586--1597, Aug. 2017. Publisher: VLDB Endowment.","journal-title":"VLDB"},{"key":"e_1_3_2_1_22_1","volume-title":"CIDR","author":"Kang D.","year":"2022","unstructured":"D. Kang, F. Romero, P. D. Bailis, C. Kozyrakis, and M. Zaharia. VIVA: an end-to-end system for interactive video analytics. In CIDR, 2022."},{"key":"e_1_3_2_1_23_1","volume-title":"Smart Traffic Monitoring System using Computer Vision and Edge Computing","author":"Liu G.","year":"2021","unstructured":"G. Liu, H. Shi, A. Kiani, A. Khreishah, J. Lee, N. Ansari, C. Liu, and M. M. Yousef. Smart Traffic Monitoring System using Computer Vision and Edge Computing. IEEE Transactions on Intelligent Transportation Systems, 2021. Publisher: IEEE."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3183751"},{"key":"e_1_3_2_1_25_1","first-page":"561","volume-title":"13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)","author":"Moritz P.","year":"2018","unstructured":"P. Moritz, R. Nishihara, S. Wang, A. Tumanov, R. Liaw, E. Liang, M. Elibol, Z. Yang, W. Paul, M. I. Jordan, and I. Stoica. Ray: A distributed framework for emerging AI applications. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18), pages 561--577, Carlsbad, CA, Oct. 2018. USENIX Association."},{"key":"e_1_3_2_1_26_1","volume-title":"Feb.","year":"2020","unstructured":"Pandas. pandas-dev\/pandas: Pandas, Feb. 2020."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526141"},{"key":"e_1_3_2_1_28_1","volume-title":"PyTorch: An Imperative Style","author":"Paszke A.","year":"2019","unstructured":"A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. K\u00f6pf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. Bai, and S. Chintala. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In NeurIPS, 2019."},{"key":"e_1_3_2_1_29_1","volume-title":"Optimization of complex dataflows with user-defined functions. ACM Computing Surveys (CSUR), 50(3):1--39","author":"Rheinl\u00e4nder A.","year":"2017","unstructured":"A. Rheinl\u00e4nder, U. Leser, and G. Graefe. Optimization of complex dataflows with user-defined functions. ACM Computing Surveys (CSUR), 50(3):1--39, 2017. Publisher: ACM New York, NY, USA."},{"key":"e_1_3_2_1_30_1","volume-title":"arrow: Integration to Apache Arrow","author":"Richardson N.","year":"2022","unstructured":"N. Richardson, I. Cook, N. Crane, D. Dunnington, R. Fran\u00e7ois, J. Keane, D. Moldovan-Gr\u00fcnfeld, J. Ooms, and Apache Arrow. arrow: Integration to Apache Arrow, 2022. https:\/\/github.com\/apache\/arrow\/, https:\/\/arrow.apache.org\/docs\/r\/."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.14778\/3570690.3570695"},{"key":"e_1_3_2_1_32_1","volume-title":"Imagenet large scale visual recognition challenge. IJCV, 115(3):211--252","author":"Russakovsky O.","year":"2015","unstructured":"O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, and M. Bernstein. Imagenet large scale visual recognition challenge. IJCV, 115(3):211--252, 2015. Publisher: Springer."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-010-0114-3"},{"key":"e_1_3_2_1_34_1","volume-title":"IEEE","author":"Satyanarayanan M.","year":"2017","unstructured":"M. Satyanarayanan, P. B. Gibbons, L. B. Mummert, P. Pillai, P. Simoens, and R. Sukthankar. Cloudlet-based just-in-time indexing of iot video. In Global Internet of Things Summit, GIoTS 2017, Geneva, Switzerland, June 6--9, 2017, pages 1--8. IEEE, 2017."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2007.4425348"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.119"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17849-8"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526142"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops48775.2020.9156225"}],"event":{"name":"DEEM '23: Seventh Workshop on Data Management for End-to-End Machine Learning","location":"Seattle WA USA","acronym":"DEEM '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3595360.3595858","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3595360.3595858","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3595360.3595858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:48:39Z","timestamp":1750286919000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3595360.3595858"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":41,"alternative-id":["10.1145\/3595360.3595858","10.1145\/3595360"],"URL":"https:\/\/doi.org\/10.1145\/3595360.3595858","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]},"assertion":[{"value":"2023-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}