{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T22:53:54Z","timestamp":1781477634619,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819541485","type":"print"},{"value":"9789819541492","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-4149-2_11","type":"book-chapter","created":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T22:46:33Z","timestamp":1781477193000},"page":"168-177","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SELVA: A Reliable and\u00a0Fast Selectivity Estimation Method for\u00a0Query Plan Optimization in\u00a0Video Analytics"],"prefix":"10.1007","author":[{"given":"Guang","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaquan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuanwen","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,2]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Anderson, M.R., Cafarella, M., et\u00a0al.: Physical representation-based predicate optimization for a visual analytics database. In: 2019 IEEE 35th International Conference on Data Engineering, pp. 1466\u20131477 (2019)","DOI":"10.1109\/ICDE.2019.00132"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Chao, D.R., Chen, Y.T., et\u00a0al.: Optimizing video queries with declarative clues. In: Proceedings of the VLDB Endowment, pp. 3256\u20133268 (2024)","DOI":"10.14778\/3681954.3681998"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Chunduri, P., Bang, J., et\u00a0al.: Zeus: efficiently localizing actions in videos using reinforcement learning. In: Proceedings of the 2022 International Conference on Management of Data, pp. 545\u2013558 (2022)","DOI":"10.1145\/3514221.3526181"},{"key":"11_CR4","unstructured":"Hammersley, J.: Monte Carlo methods (2013)"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Han, Y., et\u00a0al.: Cardinality estimation in DBMs: a comprehensive benchmark evaluation. In: Proceedings VLDB Endowment, pp. 752\u2013765 (2021)","DOI":"10.14778\/3503585.3503586"},{"key":"11_CR6","unstructured":"Hsieh, K., Ananthanarayanan, G., et\u00a0al.: Focus: querying large video datasets with low latency and low cost. In: Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, pp. 269\u2013286 (2018)"},{"key":"11_CR7","unstructured":"Jocher, G., Chaurasia, A., Qiu, J.: Ultralytics YOLOv8 (2023). https:\/\/github.com\/ultralytics\/ultralytics"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Kang, D., Bailis, P., et\u00a0al.: Blazeit: optimizing declarative aggregation and limit queries for neural network-based video analytics. In: Proceedings of the VLDB Endowment, pp. 533\u2013546 (2019)","DOI":"10.14778\/3372716.3372725"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Kang, D., Emmons, J., et\u00a0al.: Noscope: optimizing neural network queries over video at scale. In: Proceedings of the VLDB Endowment, pp. 1586\u20131597 (2017)","DOI":"10.14778\/3137628.3137664"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Kang, D., Gan, E., et\u00a0al.: Approximate selection with guarantees using proxies. In: Proceedings of the VLDB Endowment, pp. 1990\u20132003 (2020)","DOI":"10.14778\/3407790.3407804"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Kang, D., Guibas, J., et\u00a0al.: Accelerating approximate aggregation queries with expensive predicates. In: Proceedings of the VLDB Endowment, pp. 2341\u20132354 (2021)","DOI":"10.14778\/3476249.3476285"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Kang, D., Guibas, J., et\u00a0al.: Tasti: semantic indexes for machine learning-based queries over unstructured data. In: Proceedings of the 2022 International Conference on Management of Data, pp. 1934\u20131947 (2022)","DOI":"10.1145\/3514221.3517897"},{"key":"11_CR13","unstructured":"Kang, D., Romero, F., et\u00a0al.: Viva: an end-to-end system for interactive video analytics. In: CIDR (2022)"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Moll, O., Bastani, F., et\u00a0al.: Exsample: efficient searches on video repositories through adaptive sampling. In: 2022 IEEE 38th International Conference on Data Engineering, pp. 3065\u20133077 (2022)","DOI":"10.1109\/ICDE53745.2022.00275"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Romero, F., Hauswald, J., et\u00a0al.: Optimizing video analytics with declarative model relationships. In: Proceedings of the VLDB Endowment, pp. 447\u2013460 (2022)","DOI":"10.14778\/3570690.3570695"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Russo, M., Hashimoto, T., et\u00a0al.: Accelerating aggregation queries on unstructured streams of data. In: Proceedings of the VLDB Endowment, pp. 2897\u20132910 (2023)","DOI":"10.14778\/3611479.3611496"},{"key":"11_CR17","unstructured":"Ville, J.: Etude critique de la notion de collectif (1939)"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Waudby-Smith, I., Ramdas, A.: Estimating means of bounded random variables by betting. J. R. Stat. Soc. Ser. B: Stat. Methodol. 1\u201327 (2023)","DOI":"10.1093\/jrsssb\/qkad009"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Xu, Z.D., Kakkar, G.T., et\u00a0al.: Eva: a symbolic approach to accelerating exploratory video analytics with materialized views. In: Proceedings of the 2022 International Conference on Management of Data, pp. 602\u2013616 (2022)","DOI":"10.1145\/3514221.3526142"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, C., Cao, Q., et\u00a0al.: A fast filtering mechanism to improve efficiency of large-scale video analytics. IEEE Trans. Comput. 914\u2013928 (2020)","DOI":"10.1109\/TC.2020.2970413"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-4149-2_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T22:46:37Z","timestamp":1781477197000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-4149-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819541485","9789819541492"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-4149-2_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2025.github.io","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}