Content management using one or more neural networks
AssigneeNVIDIA Corporation
InventorsPranit P. Kothari, Siddhant Pardeshi, Vinayak Vilas Gaikwad
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Abstract
Apparatuses, systems, and techniques are presented to determine whether to render one or more content objects. In at least one embodiment, one or more neural networks can determine whether to render an object to be transmitted in media content based at least in part upon whether those objects were previously rendered for that content.
Claims30
A processor, comprising:
- one or more circuits to use one or more neural networks to render one or more objects based, at least in part, on whether the one or more objects were previously rendered.
A system comprising:
- one or more processors to use one or more neural networks to render one or more objects based, at least in part, on whether the one or more objects were previously rendered.
A method comprising:
- using one or more neural networks to render one or more objects based, at least in part, on whether the one or more objects were previously rendered.
A machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:
- use one or more neural networks to render one or more objects based, at least in part, on whether the one or more objects were previously rendered.
A media transmission system, comprising:
- one or more processors to use one or more neural networks to identify one or more objects, in a video frame to be transmitted for display on a client device, that were previously transmitted and to instruct the client device to insert the previously-transmitted one or more objects into one or more identified locations in the video frame;
- and
- memory for storing network parameters for the one or more neural networks.
Dependencies are inferred from the claim text.