Saturday, February 2, 2013

In Video-Streaming Rat Race, Fast Is Never Fast Enough | Synopsis

In Video-Streaming Rat Race, Fast Is Never Fast Enough

Punchline | Bryan Gutmann
Punchline | Bryan Gutmann by That Other Paper
License (according to Flickr): Attribution-ShareAlike License
Excerpt:

Audio for this story from Morning Edition will be available at approximately 9:00 a.m. ET. On average, YouTube streams 4 billion hours of video per month. That's a lot of video, but it's only a fraction of the larger online-streaming ecosystem. For video-streaming services, making sure clips always load properly is extremely challenging, and a new study reveals that it's important to video providers, too. Maybe this has happened to you: You're showing a friend some hilarious video that you found online. And right before you get to the punch line, a little loading dial pops up in the middle of the screen. Buffering kills comedic timing, and according to a study published by University of Massachusetts professor Ramesh Sitaraman, it kills attention spans, too "What we found was that people are pretty patient for up to two seconds," Sitaraman says.

Keywords:

video Berkheimer bandwidth time sure clips always load properly is extremely people video providers punch lines YouTube load time study larger online-streaming ecosystem Sitaraman video shortens load Massachusetts professor Ramesh kills comedic timing empirically supported fact little loading dial unbearable loading time problem matter pipe state-of-the-art camera equipment Andy Berkheimer Filmmaker Gregory Wilson hilarious video video time video-streaming services viewers video online video-streaming quality video streams punch line new study Morning Edition users fiber-optic connection Mobile users attention spans viewer behavior grainy cheetahs large-scale study engineering manager Share Facebook ad base network conditions high-definition piece liquid information different versions best light

People:

Andy Berkheimer

Overall Sentiment: 0

Relevance: 0.882394

SentimentQuote
-0.0795406"When we started to look into this problem, we found that the existing player we had was not up to the task," says Andy Berkheimer, ...
0.04173"We had to rewrite our whole player to give us more flexibility in how we handled network conditions," Berkheimer says. ...
0"No matter where you are, no matter what type of device you're using, no matter what type of network you're on — at any time while you're watching a video, bandwidth can change," Berkheimer says. ...
Sentiment Stats:
  • Number of Quotes: 3
  • Aggregate Sentiment: -0.0378106
  • Mean: -0.012603533333333
  • Standard Deviation: 1.4142135623731

Ramesh Sitaraman

Overall Sentiment: -0.0226183

Relevance: 0.582177

SentimentQuote
0.440546"What we found was that people are pretty patient for up to two seconds," Sitaraman says. ...
0.334962"What we found was that people are pretty patient for up to two seconds," Sitaraman says. "If you start out with, say, 100 users — if the video hasn't started in five seconds, about one-quarter of those viewers are gone, and if the video doesn't start in 10 seconds, almost half of those viewers are gone."
0.0206889"This is really the first large-scale study of its kind that tries to relate video-streaming quality to viewer behavior," Sitaraman says. ...
-0.0270564"We found that people who had a lot of connectivity had also a lot of expectation potentially, and so they abandoned much sooner," Sitaraman says. ...
Sentiment Stats:
  • Number of Quotes: 4
  • Aggregate Sentiment: 0.7691405
  • Mean: 0.192285125
  • Standard Deviation: 1.7320508075689

Gregory Wilson

Overall Sentiment: 0.343911

Relevance: 0.401362

SentimentQuote
0.112136"I would hope that the quality could be the best that it could be and that it would be more on par with what I had originally captured," Wilson says. ...
Sentiment Stats:
  • Number of Quotes: 1
  • Aggregate Sentiment: 0.112136
  • Mean: 0.112136
  • Standard Deviation: 1.4142135623731

Key:

  • Aggregate Sentiment is meant to be an indicator of an individual's overall sentiment.
  • The Mean is meant to be an indicator of an individual's average comment sentiment.
  • The Standard Deviation, when there are enough quotes, will indicate an individual's consistency of sentiment (i.e. a Standard Deviation of 0 would mean they were very consistent in their sentiment and 1 would mean they were very inconsistent).

Note that quote stats are likely to be meaningless beyond the aggregate score due to the tiny sample size. However, they are always provided just in case you find something useful there.

Additional Info:

Company: YouTube

Overall Sentiment: -0.12871

Relevance: 0.691773

Disambiguation: Website | BroadcastDistributor | FilmDistributor | VentureFundedCompany | AwardWinnerReferences:

Company: Twitter

Overall Sentiment: 0

Relevance: 0.332596

Disambiguation: Website | VentureFundedCompanyReferences:

Organization: University of Massachusetts

Overall Sentiment: -0.376879

Relevance: 0.321314

FieldTerminology: Bandwidth

Overall Sentiment: -0.0135541

Relevance: 0.750392

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