URI | http://purl.tuc.gr/dl/dias/CA480050-A068-47EC-8B2F-3F16E7F3327A | - |
Identifier | https://doi.org/10.1007/978-3-031-20716-7_12 | - |
Identifier | https://link.springer.com/chapter/10.1007/978-3-031-20716-7_12 | - |
Language | en | - |
Extent | 12 pages | en |
Title | V2F: real time video segmentation with Apache Flink | en |
Creator | Kastrinakis Dimitrios | en |
Creator | Καστρινακης Δημητριος | el |
Creator | Petrakis Evripidis | en |
Creator | Πετρακης Ευριπιδης | el |
Publisher | Springer | en |
Description | We are grateful to Google for the Google Cloud Platform Education Grants program. The work has received funding from the European Union’s Horizon 2020 - Research and Innovation Framework Programme H2020-SU-SEC-2019, under Grant Agreement No 883272- BorderUAS. | en |
Content Summary | V2F is a distributed video processing system for bounded (i.e., stored) and unbounded (i.e., continuous) or real time video streams. Apache Flink applies a series of operators in a pipeline to transform a video stream into shots. These operators are replicated to work in parallel on Flink-managed computing nodes. The V2F deployment of the standard twin-comparison video segmentation method is more than 7 times faster than its non-parallel (i.e., sequential) implementation. | en |
Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2024-11-26 | - |
Date of Publication | 2022 | - |
Subject | Video segmentation | en |
Subject | Twin comparison | en |
Subject | Apache Flink | en |
Bibliographic Citation | D. Kastrinakis and E. G. M. Petrakis, “V2F: real time video segmentation with Apache Flink,” in Advances in Visual Computing, vol 13599, Lecture Notes in Computer Science, G. Bebis, B. Li, A. Yao, Y. Liu, Y. Duan, M. Lau, R. Khadka, A. Crisan, R. Chang, Eds., Cham, Switzerland: Springer, 2022, pp. 153–164, doi: 10.1007/978-3-031-20716-7_12. | en |