Autonomous User (A-User) is an autonomous agent able to move and interact (converse, etc.) with another User in a metaverse. It is a “conversation partner in a metaverse interaction” with the User, itself an A-User or and H-User directly controlled by a human. The figure shows a diagram of the A-User while the User generates audio-visual streams of information and possibly text as well. We have already presented the system diagram of the Autonomous User (A-User), an autonomous agent able…

Autonomous User (A-User) is an autonomous agent able to move and interact (converse, etc.) with another User in a metaverse. It is a “conversation partner in a metaverse interaction” with the User, itself an A-User or and H-User directly controlled by a human. The figure shows a diagram of the A-User while the User generates audio-visual streams of information and possibly text as well. The sequence of posts – of which this is the second – that illustrates more in…

We have already presented the system diagram of the Autonomous User (A-User), an autonomous agent able to move and interact (converse, etc.) with another User in a metaverse. The latter User may also be an A-User or may be under the direct control of a human and is thus called a Human-User (H-User). The A-User acts as a “conversation partner in a metaverse interaction” with the User. This is the first of a planned sequence of posts having the goal…

The MPAI Metaverse Model (MPAI-MMM) - Technologies (MMM-TEC) specification is based on an innovative approach. As in the real world (Universe) we have animate and inanimate things, in an MPAI Metaverse (M-Instance) we have Processes and Items. Processes can animate Items (things) in the metaverse but can also act as a bridge between metaverse and universe. For convenience, MMM-TEC defines four classes of Processes: Apps, Devices, Services, and Users. Probably, the most interesting one is the User, defined as the…

A method typically used in video coding is to down-sample to half the input video frame before encoding. This reduces the computational cost but requires an up-sampling filter to recover the original video resolution in the decoded video to reduce as much as possible the loss in visual quality. Currently used filters are bicubic and Lanczos, Figure 1 – Up-sampling Filters for Video application (EVC-UFV) In the last few years, Artificial Intelligence (AI), Machine Learning (ML), and especially Deep Learning…