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Media of things: Supporting the production of metadata rich media through IoT sensing

Lookup NU author(s): Dr Gerard Wilkinson, Dr Tom Bartindale, Tom Nappey, Emeritus Professor Pete Wright, Professor Patrick OlivierORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2018 Copyright is held by the owner/author(s). Rich metadata is becoming a key part of the broadcast production pipeline. This information can be used to deliver compelling new consumption experiences which are personalized, location-aware, interactive and multi-screen. However, media producers are struggling to generate the metadata required for such experiences, using inefficient post-production solutions which are limited in how much of the original context they can capture. In response, we present Media of Things (MoT), a tool for on-location media productions. MoT enables practical and flexible generation of sensor based point-of-capture metadata. We demonstrate how embedded ubiquitous sensing technologies such as the Internet of Things can be leveraged to produce context rich, time sequenced metadata in a production studio. We reflect on how this workflow can be integrated within the constraints of broadcast production and the possibilities that emerge from access to rich data at the beginning of the production lifecycle to produce well described media for reconfigurable consumption.


Publication metadata

Author(s): Wilkinson G, Bartindale T, Nappey T, Evans M, Wright P, Olivier P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Conference on Human Factors in Computing Systems - Proceedings

Year of Conference: 2018

Online publication date: 21/04/2018

Acceptance date: 02/04/2018

Date deposited: 27/06/2018

Publisher: Association for Computing Machinery

URL: https://doi.org/10.1145/3173574.3173780

DOI: 10.1145/3173574.3173780

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450356206


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