In this issue
Archives
â–¶Issue #43 May 22, 2014 May 22, 2014 May 22
â–¶Issue #24 August 29, 2013 Aug 29, 2013 Aug 29
â–¶Issue #9 January 31, 2013 Jan 31, 2013 Jan 31
â–¶Issue #8 January 17, 2013 Jan 17, 2013 Jan 17
â–¶Issue #1 October 11, 2012 Oct 11, 2012 Oct 11
 
 
 
From Issue #57 â—† December 4, 2014

G7054.mp4

The future arrived when we weren’t looking.

By Eileen Gunn  ↪

G7054.mp4

: If the file has sound, use VGGish to extract acoustic embeddings that represent the environment or speech. 🧠 Conceptual "Deep Features"

A for the video file g7054.mp4 would depend on its specific content, but from a machine learning perspective, it refers to a high-dimensional vector representation (an embedding ) extracted from the video's data . g7054.mp4

To get a real deep feature vector, you would typically pass the video through a pre-trained : : If the file has sound, use VGGish

: A feature that describes the rhythm or pace of the video (e.g., high-action vs. static landscape). static landscape)

: A deep feature representing the direction and intensity of motion between frames.

Here are a few ways to "come up with" or extract a deep feature for this file: 🚀 Technical Extraction

%!s(int=2026) © %!d(string=Clear Outlook). The Magazine's online ISSN: 2334-4970. We ceased publication on December 18, 2014. You can purchase our complete archives, almost 300 articles, as a DRM-free ebook in PDF, EPUB, and MOBI formats. Read our privacy policy. Learn more about us. Billing troubles? Email us. Talk with us on Facebook and Twitter. Consult our FAQ for more answers. iPhone, iPad, and iPod touch are trademarks of Apple Inc., registered in the U.S. and other countries. App Store is a service mark of Apple Inc.