View source for 18286560. VIDEO TRANSMISSION SYSTEM, VIDEO TRANSMISSION METHOD, AND VIDEO RECEPTION DEVICE simplified abstract (Mitsubishi Electric Corporation)

=VIDEO TRANSMISSION SYSTEM, VIDEO TRANSMISSION METHOD, AND VIDEO RECEPTION DEVICE=


==Organization Name==

[[:Category:Mitsubishi Electric Corporation|Mitsubishi Electric Corporation]]


[[Category:Mitsubishi Electric Corporation]]

==Inventor(s)==

[[:Category:Shotaro Miwa of Tokyo (JP)|Shotaro Miwa of Tokyo (JP)]][[Category:Shotaro Miwa of Tokyo (JP)]]

==VIDEO TRANSMISSION SYSTEM, VIDEO TRANSMISSION METHOD, AND VIDEO RECEPTION DEVICE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18286560 titled 'VIDEO TRANSMISSION SYSTEM, VIDEO TRANSMISSION METHOD, AND VIDEO RECEPTION DEVICE

==Simplified Explanation==

The patent application describes a video transmission system that utilizes machine learning models to predict future video data based on acquired intermediate data.

* Video data acquiring unit acquires first video data from a camera.
* First inference unit processes the first video data with a learning model to acquire intermediate data.
* Data transmission unit transmits the intermediate data.
* Data reception unit receives the transmitted intermediate data.
* Second inference unit processes the intermediate data with a second learning model to predict second video data.

== Potential Applications ==
This technology can be applied in surveillance systems, video streaming services, and video editing software.

== Problems Solved ==
This technology solves the problem of predicting future video data accurately based on acquired intermediate data.

== Benefits ==
The system allows for real-time prediction of future video content, enhancing video processing efficiency and accuracy.

== Potential Commercial Applications ==
* "Predictive Video Analysis System for Enhanced Surveillance"
* "Real-time Video Prediction Software for Live Streaming Platforms"

== Possible Prior Art ==
One possible prior art could be the use of machine learning models in video processing and analysis systems.

== Unanswered Questions ==

=== How does the system handle variations in camera settings or environmental conditions that may affect the accuracy of the predictions? ===
The system may need to be calibrated or trained on a diverse set of data to account for different scenarios and conditions.

=== What is the computational cost associated with running multiple learning models simultaneously for video prediction? ===
The computational resources required to run multiple learning models concurrently may impact the system's performance and efficiency.


==Original Abstract Submitted==

A video transmission system includes: a video data acquiring unit to acquire first video data indicating a first video photographed by a camera; a first inference unit to give the first video data to a first learning model, and acquire intermediate data that is data different from the first video data from the first learning model; a data transmission unit to transmit the intermediate data; a data reception unit to receive the intermediate data transmitted from the data transmission unit; and a second inference unit to give the intermediate data to a second learning model, and acquire, from the second learning model, second video data indicating a predicted video of a second video of which a photographing time of the camera is advanced from that of the first video by a transmission time of the intermediate data from the data transmission unit to the data reception unit or more.



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