Project Brief: Develop an image classification system that would categorize all images in the world.

Process:

Initial Research:

information visualization is the use of interactive, sensory representations, typically visual, of abstract data to reinforce cognition. Practical application of information visualization in computer programs involves selecting, transforming and representing abstract data in a form that facilitates human interaction for exploration and understanding.

Parts of information include the graphics, the level of detailing, the sense through which the perception takes place (mostly visual), the angle of representation, the dimension chosen (1d, 2d, 3d), magnitude of data used, target audience etc.

Diverse images from varying sources were selected and its attributes studied. Images were then sorted according to the most highlighted properties in each. Subgroups emerged and finally 5 broad categories were formed.

We chose ‘camera‘ as a metaphor to associate it with an image as they share similar properties like angle used, zoom required, magnitude of image, target audience, etc.

Next we were to make a poster on a mall to represent areas of opportunity for further growth.

So we visited the mall with a camera and tried to capture various aspects of it like the footfall, crowd dynamics, parking facility, architecture, popular areas, freedom of movement, etc. throughout the day for a couple of days.

The target audience for the poster was the mall owners, it had multiple dimensions to show crowd dynamics, footfall, popular areas, most selling areas, most dense areas, etc., the magnitude was the mall itself along with parking, the level of detail was limited to individual shops in mall and depiction of what they sell, the stairs, exit routes, rest rooms, water coolers, etc. The angle was isometric in-order to accommodate everything and to have accurate proportions.