ColorsinMotion, is an
application that supports the interactive and creative visualization and
exploration of videos with a strong emphasis on color and motion properties,
at the crossroads of information access, culture and digital art.
Complementary views, based
on video’s content, their dominant colors and motion, like video loops,
colored shapes, and slit scans, allow visualizing and emphasizing videos’
properties, helping to deal with their inherent complexity in more
perceptive ways. At the video space level, the user can search, view,
compare and interact with a selection of videos through different
perspectives, emphasizing different properties and creating different views.
From this level, the user can select and navigate to each one of these
videos, to watch them and to further explore their individual features.
Videos are preprocessed and
indexed into the system, according to different dimensions, but may come
from several sources in the virtual or real world. The application can be
used in a traditional setting with a screen, keyboard and mouse, or a touch
screen, adequate in many contexts. But we are also developing more natural
interaction modalities, based mostly on motion and color, adequate for
installation settings and ambient interaction.
Some examples:
Fig 1: Video space presenting average scene
video loops (left) and video slit scans (right) stressing motion properties in
the videos.
Fig 2: Video space representing videos by their
dominant color as a particle systems, where particles attract or repel in
accordance to color similarity; in the right, videos’ traces are captured. Users
take a chance on videos’ properties, or influence the process through
interaction, influencing the aesthetics of the video space, where like colors
tend to approach. Videos from different cultures will leave their own traces
behind.
Fig 3: Video average scene images, capturing scene
motion, in dance and music videos.
By João Martinho and Teresa Chambel, 2009
Publications
Selection of Related Work:
Idée’s Multicolr Search Lab, 2008.
http://labs.ideeinc.com/multicolr/.
Levin, G. and Collaborators Catalogues and Lists,
2005-2008, An Informal Catalogue of Slit-Scan Video Artworks and Research,
http://www.flong.com/texts/lists/slit_scan/
Visual Complexity,
http://www.visualcomplexity.com/vc/
YouTube's
visualizations. To use this feature, go to a YouTube video, click on the
full-screen button, and then click on the small button that shows a network.
Daniel, G. and Chen, M. 2003. Video Visualization
In Proceedings of the 14th IEEE Visualization 2003, October 22 - 24. IEEE
Visualization. IEEE Computer Society, Washington, DC, 54.
Processing
website.
Other Tc Projects
