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Course @ CEMA Srishti School of Design, Bangalore, IN

Parag K Mital — Thu, 10 Nov 2011 12:29:27 +0000

From November 21st to the 2nd of December, I’ll have the pleasure to lead a course and workshop with Prayas Abhinav at the Center for Experimental Media Arts in the Srishti School of Design in Banaglore, IN. Many thanks to Meena Vari for all her help in organizing the project.

Stories are flowing trees

Key words: 3D, interactive projects, data, histories, urban, creative coding, technology, sculpture, projection mapping

Project Brief:

Urban realities are more like fictions, constructed through folklore, media and policy. Compressing these constructions across time would offer some possibilities for the emergence of complexity and new discourse. Using video projections adapted for 3D surfaces, urban histories will become data and information – supple, malleable, and material.

The project will begin with a one week workshop by Parag Mital on “Creative Coding” using the openFrameworks platform for C/C++ coding”.

About the Artists:

Prayas Abhinav

Presently he teaches at the Srishti School of Art, Design and Technology and is a researcher at the Center for Experimental Media Arts (CEMA). He has taught in the past at Dutch Art Institute (DAI) and Center for Environmental Planning and Technology (CEPT).
He has been supported by fellowships by Openspace India (2009), TED (2009), … Continue reading...

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Dynamic Scene Perception Eye-Movement Data Videos and Analysis

Parag K Mital — Fri, 21 May 2010 11:56:22 +0000

Over the past 2 years, I have been working under the direction of Prof John M Henderson together with Dr Tim J Smith and Dr Robin Hill on the DIEM project (Dynamic Images and Eye-Movements). Our project has focused on investigating active visual cognition by eye-tracking numerous participants watching a wide-variety of short videos.

We are in the process of making all of our data freely available for research use. As well, we have also worked on tools for analyzing eye-movements during such dynamic scenes.

CARPE, or more bombastically known as Computational Algorithmic Representation and Processing of Eye-movements, allows one to begin visualizing eye-movement data together with the video data it was tracked with in a number of ways. It currently supports low-level feature visualizations, clustering of eye-movements, model selection, heat-map visualizations, blending, contour visualizations, peek-through visualizations, movie output, binocular data input, and more. The videos shown above on our Vimeo page were all created using this tool. Head over to Google code to check out the source code or download the binary. We are still in the process of stream-lining this process by creating manuals for new users and uploading more of the eye-tracking and video data so … Continue reading...

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