- » ToastedRav.com
- » Deep Fried St. Louis
- » TV / Movies / Books
- » Article
The Newest Videos:
|
|
|
| Ask St. Louis: What Is Your Christmas Pet Peeve? | Don't Puke: Corn Smut, Bacteria-Laced Corn Kernels | For The Love Of Sneaks: I Am Sneaky Kicks Up Sneaker Culture |
Updated 139 Days ago
The Dark Knight of Batman Begins and Returns with a Crow
I must confess being a little confused. It seems like every time I turn around Batman is being re-invented again. There was Batman several years ago. Then at some point he returned. Then later he began. And I think there were a couple of other variations in there. Now we have a Dark Knight, and a recurring theme.
It seems Hollywood is always trying to throw some mysterious, dark, tormented, crime fighting, super-figure in our direction. Is it just me, or does the current "Joker" look just like Brandon Lee's "The Crow" from back in 1994?
Even good old Edward Scissorhands falls into the dark, goth, mystery movie character motif.
In fact, now that I think about it, every one of them reminds me of Trent Reznor form Nine Inch Nails!
In the end, none of this has a thing to do with whether or not the latest version of "Batman" is any good. All I ask is they come up with something different in the casting. It looks like the movie people have been hanging out in Industrial-Goth-Punk Rock clubs for the last fifteen years snapping pictures every time they need a "new" look for a character.
The new look has gotten very old. I can barely tell them all apart!
© Copyright 2008 ToastedRav.com and Bonneville International
An Equal Opportunity Employer all rights reserved
KUDOS LOL! I have not seen the movie yet, and I am a HUGE Batman fan, but I am not *excited* by any means with the 'look' they went with to 'reinvent' the Batman. I agree with you... it's just old.
ps I really like your EL-O-ELs
Ok Adam, thanks for clearing that up LOL
Just saw the movie... I enjoyed it :D
Oh well, guess my comment shows my age too LOL
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.