In this activity, students will learn how to use mathematical optimization to aid in image summarization. In image summarization, there is a large collection of images and the goal is to find a small summary that consists of representative images. For example, for a collection with many images of a mountain and many images of a beach, a good summary would only keep a single mountain image and a single beach image. The activity will be divided into two parts. The first part will focus on how to formulate the problem of image summarization as a mathematical problem. The second part will focus on an algorithm for solving image summarization.
Columbia Engineering Outreach Programs aim to provide greater accessibility to academic and professional opportunities in science, technology, engineering, and mathematics (STEM) disciplines, especially for traditionally underrepresented local stakeholders. Through community engagement, we enhance the quality and reach of learning at all levels.
Our updated Inside Engineering program now brings Columbia Engineering lab content straight to you! These now are featured in the format of hands-on, engaging engineering design activities and lessons that you can do right in your own homes or classrooms.
The Engineering Speaks program now accommodates remote sessions that allow K-12 students to hear directly from engineers from Columbia University, through virtual panels, workshops, and seminars.
Math, Science, Engineering
35 students, 1 chaperone per 35 students
School Based Program