Another significant development is the creation of new MKV players that support Pointnet-based video encoding. These players can decode and play back MKV files that have been encoded using Pointnet, which enables users to enjoy high-quality video content with reduced file sizes.

One of the primary benefits of MKV movies is their ability to store multiple audio and video tracks, subtitles, and metadata in a single file. This makes them ideal for storing and streaming content with multiple language tracks, commentary, and behind-the-scenes footage. Additionally, MKV files are highly compressible, which means they can be easily stored and streamed over the internet without sacrificing video quality.

Pointnet is a deep learning model that was introduced in 2017 by researchers at Stanford University. It is a type of neural network that is specifically designed to process 3D point cloud data, which is a set of 3D coordinates that represent the surface of an object or a scene. Pointnet has been widely used in various applications, including computer vision, robotics, and autonomous driving.