Kuldeep Yadav
Specialises In (based on submitted proposals)
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keyboard_arrow_downLighting up the Blackhole of the Internet using AI
20 Mins
Experience Report
Beginner
Videos account for about 75% of Internet traffic today. Enterprises are creating more and more videos and using them for various informational purposes, including marketing, training of customers, partners & employees and internal communications. However, video
s are considered as the blackholes o f the Internet because it is very hard to see what’s inside them. The opaque nature of videos equally impacts end users who spend a lot of time navigating to their point of interest, leading to severe underutilization of videos as a powerful medium of information. In this talk, we will describe visual processing pipeline of VideoKen platform which includes
- Graph-based algorithm along with deep scene text detection to identify key visual frames in the video,
- FCN-based algorithm for semantic segmentation of screen content in visual frames,
- Transfer-learning based visual classifier to categorize screen content into different categories such as slides, code walkthrough, demo, handwritten, etc. and
- Algorithm to detect visual coherency and select indices from the video.
We will discuss challenges and experiences in implementing/iterating on these algorithms using our experience with processing 100K+ video hours of content.
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No more submissions exist.
