<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/CA480050-A068-47EC-8B2F-3F16E7F3327A"><efrbr-work:titleOfTheWork>V2F: real time video segmentation with Apache Flink</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/CA480050-A068-47EC-8B2F-3F16E7F3327A"><efrbr-expression:titleOfTheExpression>V2F: real time video segmentation with Apache Flink</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Πλήρης Δημοσίευση σε Συνέδριο
            Conference Full Paper
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2024-11-26</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2022</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>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.</efrbr-expression:summarizationOfContent><efrbr-expression:contextForTheExpression>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.</efrbr-expression:contextForTheExpression><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">153–164</efrbr-expression:note><efrbr-expression:note type="conference name">17th International Symposium on Visual Computing</efrbr-expression:note><efrbr-expression:note type="proceedings title">Advances in Visual Computing</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~dkastrinakis1"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Kastrinakis Dimitrios
            Καστρινακης Δημητριος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~epetrakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Petrakis Evripidis
            Πετρακης Ευριπιδης
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="https://v2.sherpa.ac.uk/id/publisher/3291"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Springer
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="984A3905-58FA-40D5-A884-0BFA62A265FF"><efrbr-concept:termForTheConcept>
            Video segmentation
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="B1597123-A8DF-4A85-84F1-27EC1A8AB039"><efrbr-concept:termForTheConcept>
            Twin comparison
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="8F49EA94-DE9F-4D82-8C5D-F82FA93CD863"><efrbr-concept:termForTheConcept>
            Apache Flink
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