REMAP is pursuing new approaches to networked video using Named Data Networking (NDN). It is using several of its own artistic productions as use cases. NDN suggests a powerful data-centric approach to video and future media formats, introduced in this paper. REMAP is researching how to use it for efficient multicasting, seamless streaming between live and stored video, and synchronization of video streams from multiple sources.
Integrated with Derivative’s TouchDesigner, a visual programming language for real-time interactive multimedia content, NDN was used for a recent workshop of ENTROPY BOUND, a new performance being developed by REMAP that uses machine learning to influence the choices of its lead character and continue developing performance by performance. The new toolset, TouchNDN (TouchDesigner + NDN) allows for low-latency video dissemination and live video multi-dimensional editing, specifically, edge-assisted live video analysis with machine learning components and generating frame metadata for playback manipulation and “media” message bus for distributed systems.
Jeff Burke and Peter Gusev will conduct a day-long workshop for media artists to begin experimenting with the toolset at the City University of Hong Kong’s School of Creative Media on September 23. On September 24, Burke and Gusev will provide a half-day tutorial on the underlying technology approach to TouchNDN at the ACM Conference on Information-Centric Networking 2019.
Our 2019 ICCCN paper introducing the concept: Data-Centric Video for Mixed Reality.
Touching the Future Internet workshop (Sept 23, Hong Kong, free) —http://touchndn.com/.
Tutorial at ACM Conference on Information-Centric Networking 2019 (Sept 24, Hong Kong, conference registration required) —https://conferences.sigcomm.org/acm-icn/2019/.
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UCLA REMAP—2019-present.