Atlas Obscura and the New Yorker report on a new documentary about a remarkable woman, Marion Stokes, who recorded 70,000 (!!) hours of television on VHS tapes from 1975 until 2012.

Marion Stokes was secretly recording television twenty-four hours a day for thirty years. It started in 1979 with the Iranian Hostage Crisis at the dawn of the twenty-four hour news cycle. It ended on December 14, 2012 while the Sandy Hook massacre played on television as Marion passed away. In between, Marion recorded on 70,000 VHS tapes, capturing revolutions, lies, wars, triumphs, catastrophes, bloopers, talk shows, and commercials that tell us who we were, and show how television shaped the world of today. 

From the documentary’s website “RECORDER: The Marion Stokes Project”.

The 70,000 VHS tapes are currently awaiting digitization by the Internet Archive to be made available to the public. But these tapes also represent the ideal use case for Machine Learning technology like Google Vision to make it all searchable.

This also clearly demonstrates the need for a new editing metaphor, something like Tom Ohanian wrote about on his excellent State of Digital Nonlinear Editing series on LinkedIn.

Because a massive amount of people can read. And if they interact with content not first and foremost via video and audio, but with words, manipulation of content becomes really easy and very accessible. And it will / should work along these lines: Content that is recorded will then be processed by a variety of AI application suites. Each suite will provide different functionality (e.g. tonal analysis, speech-to-text, etc.) based on the characteristics of the content. When a live or recorded stream of content is digitized, it will be subjected to a variety of these suites.


At that point, the user will be presented with the text associated with the content. Each word, with exact reference to its precise positioning within the data stream, will be indexed. Manipulation of text (e.g. cut, copy, paste), will, in effect, be the method of editing that content. Picture and sound will follow along.

Tom Ohanian’s State of Digital Nonlinear Editing and Digital Media 10

(Note: Linkedin’s poor formatting makes these articles more difficult to read than necessary, but stick with it, his series is very insightful and thought provoking.)

Published by lowbudgetfun

Seasoned Television Producer specializing in Post Production. Team builder. GTD enthusiast. Lifelong learner.

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