4 ms·
> Is there really no other competitor or company that tried to tackle this problem in the past? Microsoft and Google already have very mature offerings in thi
by mandeepj 5y ago
> Is there really no other competitor or company that tried to tackle this problem in the past?
Microsoft and Google already have very mature offerings in this space.
https://azure.microsoft.com/en-us/services/media-services/#getting-started https://azure.microsoft.com/en-us/services/media-services/#g...
- mvoodarla 5y agoIt's a good point. While Microsoft and Google offer video processing / analysis, none of them are API-first in the same way we are. 1. We process videos, and can store their metadata / embeddings in perpetuity. This means a simple query API, don't worry about storing a DB of metadata yourself. 2. "Reverse Image Search" - Say a user cares about something specific, like a blue box that's toppled over. Using high-dimensional representations of certain frames in video, we can surface every time this scenario shows up in the future, based on a user having marked it as "interesting" in the past. 3. Our "killer" app is the video processing infra that's super modular. We give this flexibility to the full-stack dev to plug in their own models, or use ours. A final thing to note is that we're going after a completely different set of companies, specifically companies focused on building software for a specific industry (i.e. https://www.equipmentshare.com/ https://www.equipmentshare.com/) that eventually want to add video analytics as an offering. It's also unclear who Azure or GCP are targeting though it seems like it's for general media content.
- mandeepj 5y agoThanks for the detailed response. I wish you all the luck in your journey. > 2. "Reverse Image Search" - Say a user cares about something specific, like a blue box that's toppled over. Using high-dimensional representations of certain frames in video, we can surface every time this scenario shows up in the future, based on a user having marked it as "interesting" in the past. I believe a lot of retail/consumer companies would be interested just in that. Example use case - restaurants trying to find repeat customers or gauging their mood before/after the meal.