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Machine Learning Applications in Online Video Platforms

Dr. Mehrdad Fatourechi

VP of Engineering, BroadbandTV Corp

Location: Online.

Please register on this page to get the meeting link.

Event organized and sponsored by

IEEE Signal Processing Society Santa Clara Valley chapter

Schedule

6:55pm - 7:00pm: Enter the online room

7:00pm - 7:05pm: Announcements

7:05pm - 8:30pm: Talk followed by Q&A

Abstract:

In the past 15 years, we have seen exponential growth in online video platforms such as YouTube, Instagram, Netflix, TikTok, amongst others. In this walk, we will take a look at some of the challenges these platforms have been facing and how machine learning is playing an important role in addressing these challenges. In particular, we will focus on discussing 3 areas:

1. Content discovery and SEO optimization
2. Establishing trust and safety
3. Protecting the rights of the content owners

We will also discuss some of the areas that are currently open for future research.

Speaker Biography:

Dr. Fatourechi (M) is the VP of Engineering of BroadbandTV, a media-tech company that is advancing the world through the creation, distribution, management, and monetization of content. He is currently responsible for managing the research and development (R&D) and IT teams. When he joined BBTV in March 2010, he was initially responsible for managing the research team, and then his role later expanded to lead the entire engineering department. Under his leadership, BBTV's tech team has become one of the leading and most innovative teams in digital video space, building several internal and external products (including VISO Catalyst, VISO Prism, VISO NOVI, and VISO Mine) as well as filing several patents.

Dr. Fatourechi has an in-depth knowledge of digital signal processing, machine learning, and pattern recognition algorithms. He holds a PhD in Electrical Engineering from the University of British Columbia (UBC), and he was nominated by UBC for NSERC’s Doctoral Prize Award. He is an author on more than 30 journal and conference papers with a focus on pattern recognition, machine learning and intelligent algorithms. He previously held positions in the tech/education industry including roles as a research associate and sessional lecturer at UBC, as well as consulting with several companies (INETCO, BC Mining Research, and STC enterprises). He was Co-Chair of the IEEE Signal Processing Chapter in Vancouver.

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