Disney’s next movie could be watching you!

on . Posted in Articles of Interest

LOS ANGELES, Kalifornia (PNN) - July 24, 2017 - There’s this term in the processed food industry for when something is quantifiably at its most delicious, but also – critically - still unsatisfying enough that you always crave more. It’s called the bliss point, and it’s what ensures that you always want another sip of that soft drink, or another crunch of that potato chip. It’s about maximizing the bliss of consumption so that you consume more.

Now, Disney Research has developed a neural network that seems to be chasing a similar idea, but for the world of movies. The system has been trained to watch an audience of theatergoers as they watch a film. It can track reactions like smiling and laughter on hundreds of faces in a dark theater, allowing Disney to quantify whether or not a film is working as intended on a granular scale. It’s easy to imagine such technology eventually reaching well beyond the movie theater, into the real world, where Disney parks could react to your mood with real-time Disney magic.

Disney’s researchers tested the system across 150 showings of several Disney films like The Jungle Book and Star Wars: The Force Awakens in movie theaters. Studios like Disney have used the reactions of test audiences to gauge early cuts of films for decades, often making changes to the edit or ending if the film wasn’t hitting as hoped. What’s different in this instance is the sheer amount of analysis Disney Research was able to produce with this methodology: 3,179 people generated 16 million points of data.

As Disney Research scientist Peter Carr put it in Phys.org, “It’s more data than a human is going to look through. That’s where computers come in - to summarize the data without losing important details.”

Impressively, the neural net isn’t just capable of summarizing takeaways. Within just a few minutes of watching a filmgoer, it could predict their facial expressions throughout the rest of the film.

Disney is far from the only company working on big data in media. Snap, most notably, actually measures the shot-by-shot performance of its Snapchat Shows. That means the company can see if a certain 10-second blip is losing its audience’s attention. Such insights are actually shaping the way Snap produces content.

As artificial intelligence allows media companies to take advantage of these insights in real time, one can imagine Disney not just changing the way a film is cut during the test market phase, but actually recutting content in real time for a viewer’s maximum pleasure. In past decades, the industry was dominated by an arms race of CGI - a competition between who could present audiences with the most stunning special effects. Now we could be moving toward an age when AI is the crucial differentiator of media, an age where cameras lurk in movie theaters - or even our smart phones - and every entertainment company’s best weapon is its ability to reshape content, dynamically, to our liking.

Microsoft Research has used computer vision systems to measure facial and body language for a long time. In one instance, its researchers actually programmed an elevator to know whether it should open or close for a person walking past. How? The system measured each person’s facial expression and body language. Disney Research claims its system can scale beyond people in a movie theater, and can even capture the intricacies of real world movements, like trees blowing in the wind, with applications in animation. At the very least, one can imagine Disney bringing this technology into its parks, like the upcoming Star Wars world - customizing the space and the characters you interacted with to your liking. It’s easy to imagine sentiment-analysis cameras making their way into other consumer experiences, too, like vending machines or fast food restaurants.

As you take a bite of those new buffalo chicken fries, an AI could be watching, tallying your reaction with everyone else, ages 18-35. If you don’t mind how creepy it all is, camera-based AI might help the whole world find its bliss point, keeping us perpetually craving the next bite of life.

Eulogies

Eulogy for an Angel
1992-Dec. 20, 2005

Freedom
2003-2018

Freedom sm

My Father
1918-2010

brents dad

Dr. Stan Dale
1929-2007

stan dale

MICHAEL BADNARIK
1954-2022

L Neil Smith

A. Solzhenitsyn
1918-2008

solzhenitsyn

Patrick McGoohan
1928-2009

mcgoohan

Joseph A. Stack
1956-2010

Bill Walsh
1931-2007

Walter Cronkite
1916-2009

Eustace Mullins
1923-2010

Paul Harvey
1918-2009

Don Harkins
1963-2009

Joan Veon
1949-2010

David Nolan
1943-2010

Derry Brownfield
1932-2011

Leroy Schweitzer
1938-2011

Vaclav Havel
1936-2011

Andrew Breitbart
1969-2012

Dick Clark
1929-2012

Bob Chapman
1935-2012

Ray Bradbury
1920-2012

Tommy Cryer
1949-2012

Andy Griffith
1926-2012

Phyllis Diller
1917-2012

Larry Dever
1926-2012

Brian J. Chapman
1975-2012

Annette Funnicello
1942-2012

Margaret Thatcher
1925-2012

Richie Havens
1941-2013

Jack McLamb
1944-2014

James Traficant
1941-2014

jim traficant

Dr. Stan Monteith
1929-2014

stan montieth

Leonard Nimoy
1931-2015

Leonard Nimoy

Stan Solomon
1944-2015

Stan Solomon

B. B. King
1926-2015

BB King

Irwin Schiff
1928-2015

Irwin Schiff

DAVID BOWIE
1947-2016

David Bowie

Muhammad Ali
1942-2016

Muhammed Ali

GENE WILDER
1933-2016

gene wilder

phyllis schlafly
1924-2016

phylis schafly

John Glenn
1921-2016

John Glenn

Charles Weisman
1954-2016

Charles Weisman

Carrie Fisher
1956-2016

Carrie Fisher

Debbie Reynolds
1932-2016

Debbie Reynolds

Roger Moore
1917-2017

Roger Moore

Adam West
1928-2017

Adam West

JERRY LEWIS
1926-2017

jerry lewis

HUGH HEFNER
1926-2017

Hugh Hefner

PROF. STEPHEN HAWKING
1942-2018

Hugh Hefner 

ART BELL
1945-2018

Art Bell

DWIGHT CLARK
1947-2018

dwight clark

CARL MILLER
1952-2017

Carl Miller

HARLAN ELLISON
1934-2018

Harlan Ellison

STAN LEE
1922-2018

stan lee

CARL REINER
1922-2020

Carl Reiner

SEAN CONNERY
1930-2020

dwight clark

L. NEIL SMITH
1946-2021

L Neil Smith

JOHN STADTMILLER
1946-2021

L Neil Smith