We’ve presented our finals. The video can be found here: We’ve been thankful for this opportunity to work with awesome people from EA, our instructors and Pittsburgh faculty. We’ve handed off our project to EA and we also talked to

For softs, we implemented a lot of features, including: Collapsed dots that show videos for the past 30 days and videos for a day. Axes position change. Working filters Improved interaction with dots. For softs, we received a lot of good

Based on the feedback we have on Monday, we iterated on the webapp and made several changes: We fixed a lot of bugs, such as video popping up too many times when the user hovers over several dots, and the

Hi everyone, we didn’t do a post last week because thought it would be more meaningful if we post after today — our playtest day. We iterated our UI and interactions multiple times since our Halves prototype. During our playtest, we

  Halves Feedback A lot of feedback was given to us for Halves. A lot of them is directed towards the usefulness of the product. Users who attended our showcase wanted to see more information with regards to the videos

This week, we focused mainly on Halves presentation. Here’s the link to halves! Right now, we’re working hard to put our prototype up on the web so that Pittsburgh faculty can see it. We’re also pressing on with UI iterations

Halves is around the corner! Meanwhile, the team has been working hard to move forward with developing the prototype. Current Prototype   This is the current prototype that we have, after database restructuring and stemming of collected labels. We are

Hi again! This week, we start gearing up for Halves, towards a common understanding of what our product can do and what the UI should be able to display. We read several papers related to our current goal of aggregating

Apologies for the late post! Jiayang and I (Christopher) were away for a conference for the past week. Last week, we ran the scraper through Battlefront 2’s open beta phase. Right now, we’re still collecting tags and trying to see

Star Wars Battlefront Video Analyzing Previously, we used static Star Wars related images and ran them through Google Vision API. We had some success with the “Web Entities” result, which is the collective information of the image and search terms.

On Tuesday, we showed our client our Tumblr prototype, with a simple front-end mockup. He found it interesting and wanted to see how effective the labeling is in a video context. Since the launch of Battlefront is coming up, he

This week, we got busy with creating a simple Sims 4 Tumblr image scraper. The images are then parsed by Google’s Cloud Vision API and the tags of the images are obtained. Here’s a screenshot of how it looks like:

Hi everyone! We’re Team Tada currently at the SV campus, working with EA to create an internal data visualization tool for developers. In the first week, we met with our client to find out his requirements and vision for the