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 Joo Martinho and Teresa Chambel, 2009



Selection of Related Work:

Ide’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