{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T23:29:59Z","timestamp":1722986999669},"reference-count":10,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2021,7]]},"abstract":"<jats:p>Many recent video applications---including traffic monitoring, drone analytics, autonomous driving, and virtual reality---require piecing together, combining, and operating over many related video streams. Despite the massive data volumes involved and the need to jointly reason (both spatially and temporally) about these videos, current techniques to store and manipulate such data are often limited to file systems and simple video processing frameworks that reason about a single video in isolation.<\/jats:p>\n          <jats:p>We present Apperception, a new type of database management system optimized for geospatial video applications. Apperception comes with an easy to use data model to reason about multiple geospatial video data streams, and a programming interface for developers to collectively reason about the entities observed in those videos. Our demo will let users write queries over video using Apperception and retrieve (in real-time) both metadata and rendered video data. Users can also compare results and observe speedups achieved by using Apperception.<\/jats:p>","DOI":"10.14778\/3476311.3476340","type":"journal-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T22:48:43Z","timestamp":1635461323000},"page":"2767-2770","source":"Crossref","is-referenced-by-count":2,"title":["Demonstration of apperception"],"prefix":"10.14778","volume":"14","author":[{"given":"Yongming","family":"Ge","sequence":"first","affiliation":[{"name":"University of California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vanessa","family":"Lin","sequence":"additional","affiliation":[{"name":"University of California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maureen","family":"Daum","sequence":"additional","affiliation":[{"name":"University of Washington"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brandon","family":"Haynes","sequence":"additional","affiliation":[{"name":"Microsoft"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alvin","family":"Cheung","sequence":"additional","affiliation":[{"name":"University of California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Magdalena","family":"Balazinska","sequence":"additional","affiliation":[{"name":"University of Washington"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.14778\/3415478.3415498"},{"key":"e_1_2_1_2_1","unstructured":"Alexey Bochkovskiy et al. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. CoRR abs\/2004.10934 (2020).  Alexey Bochkovskiy et al. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. CoRR abs\/2004.10934 (2020)."},{"key":"e_1_2_1_3_1","volume-title":"TASM: A Tile-Based Storage Manager for Video Analytics. In 37th IEEE International Conference on Data Engineering, ICDE. IEEE, 1775--1786","author":"Daum Maureen","year":"2021","unstructured":"Maureen Daum . Brandon Haynes . Dong He , Amrita Mazumdar , and Magdalena Balazinska . 2021 . TASM: A Tile-Based Storage Manager for Video Analytics. In 37th IEEE International Conference on Data Engineering, ICDE. IEEE, 1775--1786 . Maureen Daum. Brandon Haynes. Dong He, Amrita Mazumdar, and Magdalena Balazinska. 2021. TASM: A Tile-Based Storage Manager for Video Analytics. In 37th IEEE International Conference on Data Engineering, ICDE. IEEE, 1775--1786."},{"key":"e_1_2_1_4_1","volume-title":"Fu et al","author":"Daniel","year":"2019","unstructured":"Daniel Y. Fu et al . 2019 . Rekall : Specifying Video Events using Compositions of Spatiotemporai Labels. CoRR abs\/1910.02993 (2019). Daniel Y. Fu et al. 2019. Rekall: Specifying Video Events using Compositions of Spatiotemporai Labels. CoRR abs\/1910.02993 (2019)."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/0734016808316778"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3459242"},{"key":"e_1_2_1_7_1","volume-title":"VisualWorldDB: A DBMS for the Visual World. CIDR","author":"Haynes Brandon","year":"2020","unstructured":"Brandon Haynes , Maureen Daum , Amrita Mazumdar . Magdalena Balazinska . Luis Ceze , and Alvin Cheung . 2020. VisualWorldDB: A DBMS for the Visual World. CIDR ( 2020 ). Brandon Haynes, Maureen Daum, Amrita Mazumdar. Magdalena Balazinska. Luis Ceze, and Alvin Cheung. 2020. VisualWorldDB: A DBMS for the Visual World. CIDR (2020)."},{"key":"e_1_2_1_8_1","unstructured":"Chien-Chuu Hung etal 2018. VideoEdge: Processing Camera Streams using Hierarchical Clusters. IEEE. 115--131.  Chien-Chuu Hung et al. 2018. VideoEdge: Processing Camera Streams using Hierarchical Clusters. IEEE. 115--131."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/1134782.1134792"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3406534"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3476311.3476340","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T11:29:39Z","timestamp":1672226979000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3476311.3476340"}},"subtitle":["a database management system for geospatial video data"],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":10,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2021,7]]}},"alternative-id":["10.14778\/3476311.3476340"],"URL":"https:\/\/doi.org\/10.14778\/3476311.3476340","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}