Visit http://www.aniboom.com for cartoons and funny animations! A jester sings to a dead king!Created by Michael Vicari.If you liked this film, don't forget to add us to your channel, you know you want to.
http://geeks.pirillo.com - http://live.pirillo.com - Annotation isn't exactly fun, no. Annotation is when you have to edit parts of a document, such as highlighting or underlining a certain portion of a document you may have scanned. Now, it's time for us to turn our attention to a Website that will let you annotate without having to install anything. http://chris.pirillo.com Distributed by Tubemogul.
Download the free mp3 here: http://www.galtmusic.com/mp3/d wnload.htmlI'll add your name and a link to your channel IN THE VIDEO via annotations.To get added:1. Favorite the video2. Comment "Favorited" on the videoAnd that's it! Your name will be added to the video shortly thereafter. ***I add the names as FAST as I can - but it's hard to keep up! If you don't see your name up right away, give it just a couple days- I WILL add you as long as you followed the directions.***Why do you have to favorite the video? Because this is about connecting the YouTube community! Also, because we'll make it the all the more popular that way (and your name will be in it!)...FYI: I WILL check if you've favorited the video before I go through the process of adding your name. No cheating! If you haven't favorited the video, I won't add you!The music is my own composition - you can download the mp3 here (right click and save): http://www.galtmusic.com/mp3/s galt-inhistory.mp3
Theodor W. Adorno, a german philosopher, speaks about popular music, Joan Baez and the idiotism of singing songs against war. Now with english annotations!
Available in HD: http://www.youtube.com/watch?v djA4qJgifzcNow with annotation commentary, filled with trivia and notes on the making of the film.In the industrialized society of tomorrow, Detective Jack Darter must unlock the secret behind a mysterious robbery.This film was created using stop-motion animation and LEGO bricks (sometimes called a "brickfilm") and is loosely styled after the detective film noir of the 1940s.The film is available in other formats, including a high definition version, here: http://smeagol.110mb.com/unren wable.htmThis film was my entry to the 2008 Brickfilms.com FAR Contest, and it won 1st place out of 9 entries. Once you've seen the film, don't forget to check out the making-of article: http://smeagol.110mb.com/unren wablemakingof.htm
My own version of pop up video! Great song produced by brian wilson and written by the sherman brotherslook for the song on the web in stereo, IT ROCKS!
yeah, this took YEARS to pass, I`m serious, if you would like to play the impossible quiz just click on one of these links:the version with no music: http://www.addictinggames.com/ heimpossiblequiz.htmlthe version with music: http://www.notdoppler.com/thei possiblequiz.phpthe video was recorded with cam studio, just look it up on google.this was also my FIRST time passing the quiz, I actually recorded every time I played the game, well, since today anyway.
Not too long ago, non-partners were using the pause annotation to exploit a glitch which allowed them to make videos autoplay on their YouTube channels. YouTube found out about this glitch, so they broke it... or fixed it... or something.
Google Tech TalksAugust 15, 2008ABSTRACTWe seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. We used the "Tom Sawyer fence painting" approach, and developed a web-based tool that allows easy image annotation and instant sharing of such annotations. Using this annotation tool, we have collected a large dataset that spans many object categories, often containing multiple instances over a wide variety of images. We quantify the contents of the dataset and compare against existing state of the art datasets used for object recognition and detection.We have applied this dataset to scene and object recognition. Current object recognition systems can only recognize a limited number of object categories; scaling up to many categories is the next challenge. We seek to build a system to recognize and localize many different object categories in complex scenes. We achieve this through a simple approach: by matching the input image, in an appropriate representation, to images in a large training set of labeled images. Due to regularities in object identities across similar scenes, the retrieved matches provide hypotheses for object identities and locations. We build a probabilistic model to transfer the labels from the retrieval set to the input image. We demonstrate the effectiveness of this approach and study algorithm component contributions using held-out test sets from the LabelMe database.Joint work with Antonio Torralba, Byran Russell, Kevin Murphy, RobFergus and Ce Liu.Speaker: Bill Freeman, MIT and Adobe SystemsBill Freeman is a professor of Electrical Engineering and Computer Science at MIT, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). He studies computer vision, computer graphics, and machine learning, addressing how to represent, manipulate, and understand images. Before joining MIT, he worked for 9 years at Mitsubishi Electric Research Labs, for 6 years at the Polaroid Corporation, and for 1 year as a Foreign Expert at the Taiyuan University of Technology, Shanxi, China. Part time, he worksat Adobe's Creative Technologies Lab. Hobbies include flying cameras in kites.
