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Towards autonomous semantic stream fusion for distributed video streams

Published: 28 June 2021 Publication History

Abstract

Video streams are becoming ubiquitous in smart cities and traffic monitoring. Recent advances in computer vision with deep neural networks enable querying a rich set of visual features from these video streams. However, it is challenging to deploy these queries on edge devices due to the resource intensive nature of the computing operations of this sort. Hence, this paper will demonstrate our approach in pushing these computing operations closer to the video stream sources via autonomous stream fusion agents. These agents will facilitate an edge computing paradigm that enables edge devices to utilize its computing resources to serve federated queries over video streams. Our demonstration shows that edge devices can significantly alleviate the bottleneck of the centralized server in dealing with distributed video streams.

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Cited By

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  • (2023)Towards a Decentralized Data Hub and Query System for Federated Dynamic Data SpacesCompanion Proceedings of the ACM Web Conference 202310.1145/3543873.3587646(1452-1457)Online publication date: 30-Apr-2023
  • (2023)Semantic Programming for Device-Edge-Cloud Continuum2023 IEEE 31st International Conference on Network Protocols (ICNP)10.1109/ICNP59255.2023.10355630(1-6)Online publication date: 10-Oct-2023
  • (2022)Semantic Stream Processing and ReasoningEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_287-2(1-10)Online publication date: 16-Mar-2022

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cover image ACM Conferences
DEBS '21: Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems
June 2021
207 pages
ISBN:9781450385558
DOI:10.1145/3465480
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 28 June 2021

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Author Tags

  1. datasets
  2. gaze detection
  3. neural networks
  4. text tagging

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DEBS '21 Paper Acceptance Rate 7 of 26 submissions, 27%;
Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

View all
  • (2023)Towards a Decentralized Data Hub and Query System for Federated Dynamic Data SpacesCompanion Proceedings of the ACM Web Conference 202310.1145/3543873.3587646(1452-1457)Online publication date: 30-Apr-2023
  • (2023)Semantic Programming for Device-Edge-Cloud Continuum2023 IEEE 31st International Conference on Network Protocols (ICNP)10.1109/ICNP59255.2023.10355630(1-6)Online publication date: 10-Oct-2023
  • (2022)Semantic Stream Processing and ReasoningEncyclopedia of Big Data Technologies10.1007/978-3-319-63962-8_287-2(1-10)Online publication date: 16-Mar-2022

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