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Video2Flink: real-time video partitioning in Apache Flink and the cloud

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Bibliographic Details
Main Authors: Dimitrios, Kastrinakis, Euripides G. M. Petrakis, Petrakis
Format: Book
Language:English
Published: Springer 2023
Subjects:
Video2Flink
Apache Flink
Online Access:https://dlib.phenikaa-uni.edu.vn/handle/PNK/7677
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spelling oai:localhost:PNK-76772023-04-07T08:19:25Z Video2Flink: real-time video partitioning in Apache Flink and the cloud Dimitrios, Kastrinakis Euripides G. M. Petrakis, Petrakis Video2Flink Apache Flink CC BY Video2Flink is a distributed highly scalable video processing system for bounded (i.e., stored) or unbounded (i.e., continuous) and real-time video streams with the same efficiency. It shows how complicated video processing tasks can be expressed and executed as pipelined data flows on Apache Flink, an open-source stream processing platform. Video2Flink uses Apache Kafka to facilitate the machine-to-machine (m2m) communication between the video production and the video processing system that runs on Apache Flink. Features that make the combination of Apache Kafka and Apache Flink a desirable solution to the problem of video processing are the ease of customization, portability, scalability, and fault tolerance. 2023-04-07T08:19:25Z 2023-04-07T08:19:25Z 2023 Book https://dlib.phenikaa-uni.edu.vn/handle/PNK/7677 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Video2Flink
Apache Flink
spellingShingle Video2Flink
Apache Flink
Dimitrios, Kastrinakis
Euripides G. M. Petrakis, Petrakis
Video2Flink: real-time video partitioning in Apache Flink and the cloud
description CC BY
format Book
author Dimitrios, Kastrinakis
Euripides G. M. Petrakis, Petrakis
author_facet Dimitrios, Kastrinakis
Euripides G. M. Petrakis, Petrakis
author_sort Dimitrios, Kastrinakis
title Video2Flink: real-time video partitioning in Apache Flink and the cloud
title_short Video2Flink: real-time video partitioning in Apache Flink and the cloud
title_full Video2Flink: real-time video partitioning in Apache Flink and the cloud
title_fullStr Video2Flink: real-time video partitioning in Apache Flink and the cloud
title_full_unstemmed Video2Flink: real-time video partitioning in Apache Flink and the cloud
title_sort video2flink: real-time video partitioning in apache flink and the cloud
publisher Springer
publishDate 2023
url https://dlib.phenikaa-uni.edu.vn/handle/PNK/7677
_version_ 1762546699797004288
score 8.893527

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