Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI: | http://purl.tuc.gr/dl/dias/CA480050-A068-47EC-8B2F-3F16E7F3327A | ||
| Έτος | 2022 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | 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. https://doi.org/10.1007/978-3-031-20716-7_12 | ||
| Εμφανίζεται στις Συλλογές |
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.
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