Custom Image and Video Filters

Student Author Information

Cameron Short, University of LynchburgFollow

Location

Room 232, Schewel Hall

Access Type

Campus Access Only

Entry Number

68

Start Date

4-8-2020 11:00 AM

End Date

4-8-2020 11:15 AM

Department

Computer Science

Abstract

Our project aims to apply filters to still images and video. An image filter changes the color, tone, or texture of an image. We created and tested several different filters using still images. We then applied these same filters to videos. Videos are composed of 10s of frames per second and applying a filter to an image is computationally expensive. This means that applying a filter to a full-length feature film running over an hour would take an incredible amount of time if we used only a single consumer grade computer. So we modified our code to run in a cloud based computing service that allowed us to processes the video on tens of machines at the same time.

Faculty Mentor(s)

Dr. Joseph Meehean

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