CLOSE
Original image
Vimeo / The Final Image Films

The Closing Moment of Every Best Picture Winner

Original image
Vimeo / The Final Image Films

Here's some Sunday fun for you—this five-minute video collects a snippet from the final scene of every "Best Picture" Oscar-winning film, edited by Monté Patterson. They're presented in reverse order, so you can quiz yourself as you go along. I have to admit, I missed a bunch of these (though I did recognize the still I showed above—just watched it last weekend!). Here's the video, and below is the list of the films.

The 'Best Picture' Show: A Final Image Montage on Vimeo from The Final Image Films on Vimeo.

2013 - “12 Years a Slave”

2012 - “Argo”

2011 - “The Artist”

2010 - “The King’s Speech”

2009 - “The Hurt Locker”

2008 - “Slumdog Millionaire”

2007 - “No Country for Old Men”

2006 - “The Departed”

2005 - “Crash”

2004 - “Million Dollar Baby”

2003 - “The Lord of the Rings: The Return of the King”

2002 - “Chicago”

2001 - “A Beautiful Mind”

2000 - “Gladiator”

1999 - “American Beauty”

1998 - “Shakespeare in Love”

1997 - “Titanic”

1996 - “The English Patient”

1995 - “Braveheart”

1994 - “Forrest Gump”

1993 - “Schindler’s List”

1992 - “Unforgiven”

1991 - “The Silence of the Lambs”

1990 - “Dances With Wolves”

1989 - “Driving Miss Daisy”

1988 - “Rain Man”

1987 - “The Last Emperor”

1986 - “Platoon”

1985 - “Out of Africa”

1984 - “Amadeus”

1983 - “Terms of Endearment”

1982 - “Gandhi”

1981 - “Chariots of Fire”

1980 - “Ordinary People”

1979 - “Kramer vs. Kramer”

1978 - “The Deer Hunter”

1977 - “Annie Hall”

1976 - “Rocky”

1975 - “One Flew over the Cuckoo’s Nest”

1974 - “The Godfather Part II”

1973 - “The Sting”

1972 - “The Godfather”

1971 - “The French Connection”

1970 - “Patton”

1969 - “Midnight Cowboy”

1968 - “Oliver!”

1967 - “In the Heat of the Night”

1966 - “A Man for All Seasons”

1965 - “The Sound of Music”

1964 - “My Fair Lady”

1963 - “Tom Jones”

1962 - “Lawrence of Arabia”

1961 - “West Side Story”

1960 - “The Apartment”

1959 - “Ben-Hur”

1958 - “Gigi”

1957 - “The Bridge on the River Kwai”

1956 - “Around the World in 80 Days”

1955 - “Marty”

1954 - “On the Waterfront”

1953 - “From Here to Eternity”

1952 - “The Greatest Show on Earth”

1951 - “An American in Paris”

1950 - “All About Eve”

1949 - “All the Kings Men”

1948 - “Hamlet”

1947 - “Gentleman’s Agreement”

1946 - “The Best Years of Our Lives”

1945 - “The Lost Weekend”

1944 - “Going My Way”

1943 - “Casablanca”

1942 - “Mrs. Miniver”

1941 - “How Green Was My Valley”

1940 - “Rebecca”

1939 - “Gone with the Wind”

1938 - “You Can’t Take It with You”

1937 - “The Life of Emile Zola”

1936 - “The Great Ziegfeld”

1935 - “Mutiny on the Bounty”

1934 - “It Happened One Night”

1932/1933 - “Cavalcade”

1931/1932 - “Grand Hotel”

1930/1931 - “Cimarron”

1929/1930 - “All Quiet on the Western Front”

1928/1929 - “The Broadway Melody”

1927/1928 - “Wings”

For a similar challenge, check out a supercut from 2013 featuring dramatic moments from 84 winning films.

(Via Devour.)

Original image
iStock // Ekaterina Minaeva
technology
arrow
Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
Original image
iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

Original image
Nick Briggs/Comic Relief
entertainment
arrow
What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
Original image
Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]

SECTIONS
BIG QUESTIONS
BIG QUESTIONS
WEATHER WATCH
BE THE CHANGE
JOB SECRETS
QUIZZES
WORLD WAR 1
SMART SHOPPING
STONES, BONES, & WRECKS
#TBT
THE PRESIDENTS
WORDS
RETROBITUARIES