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Updated 126 Days ago
The Top 5 Best 'LipDub's
A "lipdub" is when someone on video sings or lipsyncs along to a song while the actual song is edited into the video to play over them.
They sound stupid, but just like me, they are oddly entertaining and addictive.
I give you, my Top 5!
#5: "A Whole New LipDub" by Jeff Rubin
1 guy + 2 parts = a great lip of a classic Disney song!
Watch it on the Video tab here.
#4: "Lip Dub: Build Me Up Buttercup" by Julia Allison
The August Wired Magazine cover girl shows us the easiest way to get internet famous: Prance around and be a cute girl.
Watch it on the Video tab here.
#3: "Lip Dubbing: Crazy" by Jakob Lodwick
The former boyfriend of the #4 lipdubber shows his skills on the New York subway. He gets tons of bonus points for facial expressions.
Watch it on the Video tab here.
#2: "LipDub - Undone - Weezer (in Paris)" by Chryde
Yeah, they are French, but they covered the classic Weezer song, so its cool. The prep they put into this shows and lets face it, anything that involves a dude wearing a horse head, has to be high on the list.
Watch it on the Video tab here.
#1: "Lip Dub - Flagpole Sitta by Harvey Danger" by amandalynferri
This is the one that really started it all. In fact, you've probably already have seen this one, since its been viewed over 2 million times in total.
If you haven't seen it and you only have time to watch one of these, make it this one.
Watch it on the Video tab here.
Have you made a lip dub or know of another great one? Be social and link it in the comments!
About The Author:
Mike is the sole developer and associate editor for ToastedRav.com.He has been a blogger for over 5 years both on personal and professional websites and has a bachelors degree in Computer Science from Truman State University.
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Song suggestions?
The last two dubs were my favorite...very well done. I didn't know this kind of thing existed yet...thanks!
http://universitylipdub.com
or at vimeo:
http://www.vimeo.com/1287067
Have you seen the Disney LipDub project ?
Made by some fans of Disney park :
http://www.disneygazette.fr/lipdub
What is reCAPTCHA?
reCAPTCHA is a free CAPTCHA service that helps to digitize books.A CAPTCHA is a program that can tell whether its user is a human or a computer. You've probably seen them Ñ colorful images with distorted text at the bottom of Web registration forms. CAPTCHAs are used by many websites to prevent abuse from "bots," or automated programs usually written to generate spam. No computer program can read distorted text as well as humans can, so bots cannot navigate sites protected by CAPTCHAs.
About 60 million CAPTCHAs are solved by humans around the world every day. In each case, roughly ten seconds of human time are being spent. Individually, that's not a lot of time, but in aggregate these little puzzles consume more than 150,000 hours of work each day. What if we could make positive use of this human effort? reCAPTCHA does exactly that by channeling the effort spent solving CAPTCHAs online into "reading" books.
To archive human knowledge and to make information more accessible to the world, multiple projects are currently digitizing physical books that were written before the computer age. The book pages are being photographically scanned, and then transformed into text using "Optical Character Recognition" (OCR). The transformation into text is useful because scanning a book produces images, which are difficult to store on small devices, expensive to download, and cannot be searched. The problem is that OCR is not perfect.
reCAPTCHA improves the process of digitizing books by sending words that cannot be read by computers to the Web in the form of CAPTCHAs for humans to decipher. More specifically, each word that cannot be read correctly by OCR is placed on an image and used as a CAPTCHA. This is possible because most OCR programs alert you when a word cannot be read correctly.
But if a computer can't read such a CAPTCHA, how does the system know the correct answer to the puzzle? Here's how: Each new word that cannot be read correctly by OCR is given to a user in conjunction with another word for which the answer is already known. The user is then asked to read both words. If they solve the one for which the answer is known, the system assumes their answer is correct for the new one. The system then gives the new image to a number of other people to determine, with higher confidence, whether the original answer was correct.
Currently, we are helping to digitize books from the Internet Archive and old editions of the New York Times.