Visual Urban Sensing
Date: Tuesday, November 01, 2016
Time: 12:00 PM to 1:00 PM Note: all times are in the Eastern Time Zone
Contact: Katherine Bouman, firstname.lastname@example.org
Speaker URL: None
TALK: Nikhil Naik - Visual Urban Sensing
Place and time: Tuesday 11/1, 12-1 pm in 32-D507
Speaker: Nikhil Naik, MIT Media Lab (http://web.mit.edu/naik/www/)
Title: Visual Urban Sensing
Social scientists are extremely interested in understanding (i) the relationship between urban appearance and the behavior and health of urban residents; and (ii) the relationship between urban change and socioeconomic composition, as well as government policies. Thus far, studying these questions has proved challenging due to the fact that researchers need to conduct expensive and time-consuming field surveys to evaluate urban appearance.
I will introduce two computer vision algorithms that harness Street View imagery to computationally evaluate urban appearance. The first algorithm, Streetscore, is able to quantify the appearance of a street block from its Street View image by measuring attributes such as perceived safety, wealth, and beauty. The second algorithm is able to compute an "urban change coefficient" which quantifies the growth or decay of a location from time-series Street View images obtained over several years. This approach allows us to generate cross-sectional and longitudinal data on urban appearance at street block-level resolution and global scale, massively scaling up the size and scope of research in this area.
Related Material: http://web.mit.edu/naik/www/research.html
Created by Katherine Bouman at Friday, October 28, 2016 at 9:41 AM.