Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387491256> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4387491256 endingPage "1" @default.
- W4387491256 startingPage "1" @default.
- W4387491256 abstract "Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society. Governments and enterprises are deploying innumerable cameras for a variety of applications, e.g., law enforcement, emergency management, traffic control, and security surveillance, all facilitated by video analytics (VA). This trend is spurred by the rapid advancement of deep learning (DL), which enables more precise models for object classification, detection, and tracking. Meanwhile, with the proliferation of Internet-connected devices, massive amounts of data are generated daily, overwhelming the cloud. Edge computing, an emerging paradigm that moves workloads and services from the network core to the network edge, has been widely recognized as a promising solution. The resulting new intersection, edge video analytics (EVA), begins to attract widespread attention. Nevertheless, only a few loosely-related surveys exist on this topic. The basic concepts of EVA (e.g., definition, architectures) were not fully elucidated due to the rapid development of this domain. To fill these gaps, we provide a comprehensive survey of the recent efforts on EVA. In this paper, we first review the fundamentals of edge computing, followed by an overview of VA. EVA systems and their enabling techniques are discussed next. In addition, we introduce prevalent frameworks and datasets to aid future researchers in the development of EVA systems. Finally, we discuss existing challenges and foresee future research directions. We believe this survey will help readers comprehend the relationship between VA and edge computing, and spark new ideas on EVA." @default.
- W4387491256 created "2023-10-11" @default.
- W4387491256 creator A5031121913 @default.
- W4387491256 creator A5053959797 @default.
- W4387491256 creator A5056442083 @default.
- W4387491256 date "2023-01-01" @default.
- W4387491256 modified "2023-10-16" @default.
- W4387491256 title "Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques" @default.
- W4387491256 doi "https://doi.org/10.1109/comst.2023.3323091" @default.
- W4387491256 hasPublicationYear "2023" @default.
- W4387491256 type Work @default.
- W4387491256 citedByCount "0" @default.
- W4387491256 crossrefType "journal-article" @default.
- W4387491256 hasAuthorship W4387491256A5031121913 @default.
- W4387491256 hasAuthorship W4387491256A5053959797 @default.
- W4387491256 hasAuthorship W4387491256A5056442083 @default.
- W4387491256 hasConcept C111919701 @default.
- W4387491256 hasConcept C124101348 @default.
- W4387491256 hasConcept C127413603 @default.
- W4387491256 hasConcept C136197465 @default.
- W4387491256 hasConcept C138236772 @default.
- W4387491256 hasConcept C146978453 @default.
- W4387491256 hasConcept C154945302 @default.
- W4387491256 hasConcept C162307627 @default.
- W4387491256 hasConcept C199360897 @default.
- W4387491256 hasConcept C2522767166 @default.
- W4387491256 hasConcept C2778456923 @default.
- W4387491256 hasConcept C2781215313 @default.
- W4387491256 hasConcept C38652104 @default.
- W4387491256 hasConcept C41008148 @default.
- W4387491256 hasConcept C64543145 @default.
- W4387491256 hasConcept C75684735 @default.
- W4387491256 hasConcept C76155785 @default.
- W4387491256 hasConcept C79158427 @default.
- W4387491256 hasConcept C79974875 @default.
- W4387491256 hasConcept C84418412 @default.
- W4387491256 hasConceptScore W4387491256C111919701 @default.
- W4387491256 hasConceptScore W4387491256C124101348 @default.
- W4387491256 hasConceptScore W4387491256C127413603 @default.
- W4387491256 hasConceptScore W4387491256C136197465 @default.
- W4387491256 hasConceptScore W4387491256C138236772 @default.
- W4387491256 hasConceptScore W4387491256C146978453 @default.
- W4387491256 hasConceptScore W4387491256C154945302 @default.
- W4387491256 hasConceptScore W4387491256C162307627 @default.
- W4387491256 hasConceptScore W4387491256C199360897 @default.
- W4387491256 hasConceptScore W4387491256C2522767166 @default.
- W4387491256 hasConceptScore W4387491256C2778456923 @default.
- W4387491256 hasConceptScore W4387491256C2781215313 @default.
- W4387491256 hasConceptScore W4387491256C38652104 @default.
- W4387491256 hasConceptScore W4387491256C41008148 @default.
- W4387491256 hasConceptScore W4387491256C64543145 @default.
- W4387491256 hasConceptScore W4387491256C75684735 @default.
- W4387491256 hasConceptScore W4387491256C76155785 @default.
- W4387491256 hasConceptScore W4387491256C79158427 @default.
- W4387491256 hasConceptScore W4387491256C79974875 @default.
- W4387491256 hasConceptScore W4387491256C84418412 @default.
- W4387491256 hasFunder F4320320994 @default.
- W4387491256 hasFunder F4320335564 @default.
- W4387491256 hasLocation W43874912561 @default.
- W4387491256 hasOpenAccess W4387491256 @default.
- W4387491256 hasPrimaryLocation W43874912561 @default.
- W4387491256 hasRelatedWork W3111395152 @default.
- W4387491256 hasRelatedWork W3191926225 @default.
- W4387491256 hasRelatedWork W3216099748 @default.
- W4387491256 hasRelatedWork W4205963435 @default.
- W4387491256 hasRelatedWork W4238233472 @default.
- W4387491256 hasRelatedWork W4312996489 @default.
- W4387491256 hasRelatedWork W4313463218 @default.
- W4387491256 hasRelatedWork W4313526662 @default.
- W4387491256 hasRelatedWork W4322761281 @default.
- W4387491256 hasRelatedWork W3106131444 @default.
- W4387491256 isParatext "false" @default.
- W4387491256 isRetracted "false" @default.
- W4387491256 workType "article" @default.