GMU:Breaking the Timeline projects: Difference between revisions

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== [[Matthias Breuer]]: ==
== [[Matthias Breuer]]: ==
Besides doing some research and experimenting I am trying to do one smaller project:
Besides doing some research and experimenting I am trying to do one smaller project:
The project focuses on the truth and reality of the images we see. Taking any kind of video source as input, the stream's audio channel is continously played back. The corresponding frame is calculated from all previous frames. The calculated frame is the most similar frame to the current frame. Each new frame is then placed in a database for comparison with forthcoming frames. This creates a steadily growing and learning mass which —after some time— can replace the ''reality'' with frames from the past. At that point no clear distinction between reality and fiction can be made anymore.
 
The project focuses on the truth and reality of the images we see. Taking any kind of video source as input, the stream's audio channel is continously played back. The corresponding frame is calculated from similarity to all previous frames. The most similar frame will be displayed. Each new frame is then placed in a database for comparison with forthcoming frames. This creates a steadily growing and learning mass which—after some time—can replace the ''reality'' with frames from the past. At that point no clear distinction between reality and fiction can be made anymore.
 
Similarity between frames depend on an amount of chosen factors. Most commmon are histogram, structure etc. but always depend on the features one sees as important in an image. It's not important to match the look of a frame as close as possible but to match a frame in a given set of interests.


== [[Maureen Anderson]]: ==
== [[Maureen Anderson]]: ==

Revision as of 09:20, 25 April 2010

Kyd Campbell:

Andreas Beyer:

Anja Erdmann:

Dominique Wollniok:

Hyun Ju Song:

Jeffers Egan:

Johann Niegl:

Matthias Breuer:

Besides doing some research and experimenting I am trying to do one smaller project:

The project focuses on the truth and reality of the images we see. Taking any kind of video source as input, the stream's audio channel is continously played back. The corresponding frame is calculated from similarity to all previous frames. The most similar frame will be displayed. Each new frame is then placed in a database for comparison with forthcoming frames. This creates a steadily growing and learning mass which—after some time—can replace the reality with frames from the past. At that point no clear distinction between reality and fiction can be made anymore.

Similarity between frames depend on an amount of chosen factors. Most commmon are histogram, structure etc. but always depend on the features one sees as important in an image. It's not important to match the look of a frame as close as possible but to match a frame in a given set of interests.

Maureen Anderson:

Natercia Chang:

Sebastian Wolf: