{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T09:50:25Z","timestamp":1773481825840,"version":"3.50.1"},"reference-count":12,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:p>In this paper, we will present SketchQL, a video database management system (VDBMS) for retrieving video moments with a sketch-based query interface. This novel interface allows users to specify object trajectory events with simple mouse drag-and-drop operations. Users can use trajectories of single objects as building blocks to compose complex events. Using a pre-trained model that encodes trajectory similarity, SketchQL achieves zero-shot video moments retrieval by performing similarity searches over the video to identify clips that are the most similar to the visual query. In this demonstration, we introduce the graphic user interface of SketchQL and detail its functionalities and interaction mechanisms. We also demonstrate the end-to-end usage of SketchQL from query composition to video moments retrieval using real-world scenarios.<\/jats:p>","DOI":"10.14778\/3685800.3685892","type":"journal-article","created":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T17:25:21Z","timestamp":1731086721000},"page":"4429-4432","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["SketchQL Demonstration: Zero-Shot Video Moment Querying with Sketches"],"prefix":"10.14778","volume":"17","author":[{"given":"Renzhi","family":"Wu","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Pramod","family":"Chunduri","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Dristi J","family":"Shah","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Ashmitha Julius","family":"Aravind","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Ali","family":"Payani","sequence":"additional","affiliation":[{"name":"Cisco"}]},{"given":"Xu","family":"Chu","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Joy","family":"Arulraj","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Kexin","family":"Rong","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]}],"member":"320","published-online":{"date-parts":[[2024,11,8]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Analysis of the trajectories of left-turning vehicles at signalized intersections. Transportation research procedia 48","author":"Abdeljaber Osama","year":"2020","unstructured":"Osama Abdeljaber, Adel Younis, and Wael Alhajyaseen. 2020. Analysis of the trajectories of left-turning vehicles at signalized intersections. Transportation research procedia 48 (2020), 1288--1295."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.618"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389692"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/3551793.3551865"},{"key":"e_1_2_1_5_1","first-page":"533","article-title":"BlazeIt: optimizing declarative aggregation and limit queries for neural network-based video analytics","volume":"13","author":"Kang Daniel","year":"2019","unstructured":"Daniel Kang, Peter Bailis, and Matei Zaharia. 2019. BlazeIt: optimizing declarative aggregation and limit queries for neural network-based video analytics. VLDB 13, 4 (2019), 533--546.","journal-title":"VLDB"},{"key":"e_1_2_1_6_1","first-page":"1","article-title":"A survey on video moment localization","volume":"55","author":"Liu Meng","year":"2023","unstructured":"Meng Liu, Liqiang Nie, Yunxiao Wang, Meng Wang, and Yong Rui. 2023. A survey on video moment localization. Comput. Surveys 55, 9 (2023), 1--37.","journal-title":"Comput. Surveys"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995586"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00852"},{"key":"e_1_2_1_9_1","volume-title":"Proceedings of the 2025 ACM SIGMOD International Conference on Management of Data.","author":"Wu Renzhi","year":"2025","unstructured":"Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, and Kexin Rong. 2025. SketchQL: Video Moment Querying with a Visual Query Interface. In Proceedings of the 2025 ACM SIGMOD International Conference on Management of Data."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3514221.3526142"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6984"},{"key":"e_1_2_1_12_1","volume-title":"Bytetrack: Multi-object tracking by associating every detection box","author":"Zhang Yifu","year":"2022","unstructured":"Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang. 2022. Bytetrack: Multi-object tracking by associating every detection box. In ECCV. Springer, 1--21."}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3685800.3685892","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T05:33:46Z","timestamp":1735623226000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3685800.3685892"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":12,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["10.14778\/3685800.3685892"],"URL":"https:\/\/doi.org\/10.14778\/3685800.3685892","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2024,8]]},"assertion":[{"value":"2024-11-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}