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Smartmedia: Locally & Contextually-Adapted Streaming Media

Published: 13 November 2020 Publication History

Abstract

Streaming media is gaining popularity, with numerous new services for video on demand and live broadcast. These services stream requested media content to user devices like smart TVs, personal computers and smartphones. Many of these devices are mobile devices, yet streaming media services do not adapt the delivered content to the context of the request, e.g., the location of the user, the time of the request or who are the people near the viewer. In this paper we illustrate how geofencing and geoblocking can be combined with adaptive streaming media to create a new technology of contextually-adapted streaming media. The new technology has the potential to create a new type of experience for streaming media by applying real-time modification of streamed content according to the viewer and the context, e.g., modify inappropriate content when the media is played in public places, change the length of a video played by a train passenger according to a train schedule, etc. The suggested technology can also be used for preventing password sharing in a non-intrusive way and for hyperlocal geoblocking, to facilitate copyright protection. We discuss the vision of modifying streaming media in real time based on the context, elaborate on some of the challenges in implementing this vision, and present novel applications of this new technology.

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Cited By

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  • (2023)Cellular Network Optimization by Deep Reinforcement Learning and AI-Enhanced Ray TracingProceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications10.1145/3615888.3627814(41-50)Online publication date: 13-Nov-2023
  • (2022)Geospatial accessibility and inclusion by combining contextual filters, the metaverse and ambient intelligenceProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3561032(1-4)Online publication date: 1-Nov-2022

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    cover image ACM Conferences
    SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems
    November 2020
    687 pages
    ISBN:9781450380195
    DOI:10.1145/3397536
    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 ACM 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: 13 November 2020

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    Author Tags

    1. Streaming media
    2. VOD
    3. adaptive video
    4. geoblocking
    5. geofencing
    6. password sharing
    7. personalization
    8. video on demand

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    Overall Acceptance Rate 257 of 1,238 submissions, 21%

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    View all
    • (2023)Cellular Network Optimization by Deep Reinforcement Learning and AI-Enhanced Ray TracingProceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications10.1145/3615888.3627814(41-50)Online publication date: 13-Nov-2023
    • (2022)Geospatial accessibility and inclusion by combining contextual filters, the metaverse and ambient intelligenceProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3561032(1-4)Online publication date: 1-Nov-2022

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