Lemonlight’s Post

Just finished the course “Unreal: Introduction to Lighting” by Craig Barr!

Next level navigation in #3DVR tours. Be part modern company presentation and #followme function in hole spaces. Yes #wecan… https://lnkd.in/e4MxYqQm

Please come and check the first demo of streaming CMAF LCEVC enhancement layer tracks using MPEG-DASH! #lcevc #cmaf #dash

https://lnkd.in/e7zbTy8b Sound damping video demonstration using 3M™️ Bumpons™️ #3M

Want fewer bits and better vids without the newest chips? 🎟️ LCEVC can do that! LCEVC stands for Low Complexity Enhancement Video Coding. At #ibc, Unified Streaming will demo streaming of LCEVC, using CMAF and MPEG-DASH. 3 quick facts about LCEVC strengths: 🏋️ LCEVC is a standard specified in ISO/IEC 23094-2 that defines scalable video coding bitstream syntax that can be used together with any base layer video codec. 🏋️ Via a software layer, LCEVC bitstreams can increase the number of renditions using it as an enhancement layer. 🏋️ LCEVC has been adopted in MPEG CMAF ISO/IEC 23000-19 as a coding profile this year, making it available for streaming using MPEG-DASH. In the demo at IBC, we’ll show you how LCEVC CMAF tracks can be created using Unified Packager and Unified Origin software, and distributed using MPEG-DASH. An implementation of the DASH.js reference player will show the functionality in different test videos: (a) a short animation movie; (b) a realistic movie; and (c) a gaming content movie. LCEVC extends two base layers with an additional two layers with higher res content. Interested? Please come see the demo at our booth 5.C75 at IBC! Or book a meeting with us, below. https://lnkd.in/e4MdMv3R #streaming #ott #lcevc

Level up your home recording game with Jennifer Kay's expert tips! Unveil the secrets to leaving a lasting impression in the industry's new norm. Build your confidence and create a personalized system that sets you apart. Register now and take your auditions to the next level!

Level up your home recording game with Jennifer Kay's expert tips! Unveil the secrets to leaving a lasting impression in the industry's new norm. Build your confidence and create a personalized system that sets you apart. Register now and take your auditions to the next level!

Wow.... Congratulations Deepmind 👏👏. Almost real life... Unbelievable how fast AI is evolving.... It is now extremely crucial for almost anyone to learn and adapt to AI ASAP. If you don't probably you will end up like a dinosaur. The big question is how many can scale up to an world of AI. If just a few get AI skill set and it becomes a winner take it all scenario ( highly possible..) it will cause social unrest most certainly. Very interesting times ahead. The extreme indebtedness every where makes things even more risky. #artificialintelligence #ai #productivity #macroeconomics #career #future

Water wins. As generative video captures "more realism" it is approaching a model of the dynamics of the world, but learning from a perceptual model. "Naive physics" is a term from psychology to describe how we understand the world around us, not from a theory or adult understanding, but from our intuitions and learned experience. We know things fall, or shatter, or crumble, because we know how stones, and wine glasses, and paper behave. Video models are capturing the "naive physics" of visualization but lacking the actual physics. How far will it go? For example, this year hair visualizations are getting a lot better across all models in the field. Generative video models are particularly good at creating water. It makes it acceptable that objects "float" and drift a little more than they should. At some point, our own interval understanding of turbulence, and reflection, "maxes out" and it just looks good and real enough. Unless you stop and look at the details, and then you can see how it's "wrong" or inconsistent with actual physics. But it captured enough of the physical phenomena, that we know what's going on, and looks good. One area of active challenge is the impact of "contact" and "friction" in the visual world. Interestingly, many of these "hard to visualize things" are not crucial for narrative fiction. We can go a long way with what we already have: good models of environments, camera motion, the human body, and expressive talking heads (without showing the feet touching the ground believably, without showing two person interactions) I believe the process of "breaking" these new models will open even more avenues for creative expression.

Try the latest video generation model from Google DM😲