Qualcomm incorporated (20240098307). AUTOMATIC GENERATION OF VIDEO CONTENT IN RESPONSE TO NETWORK INTERRUPTION simplified abstract

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AUTOMATIC GENERATION OF VIDEO CONTENT IN RESPONSE TO NETWORK INTERRUPTION

Organization Name

qualcomm incorporated

Inventor(s)

Liangping Ma of San Diego CA (US)

Thomas Stockhammer of Bergen (DE)

Alberto Rico Alvarino of San Diego CA (US)

Nikolai Konrad Leung of San Francisco CA (US)

Imed Bouazizi of Frisco TX (US)

AUTOMATIC GENERATION OF VIDEO CONTENT IN RESPONSE TO NETWORK INTERRUPTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240098307 titled 'AUTOMATIC GENERATION OF VIDEO CONTENT IN RESPONSE TO NETWORK INTERRUPTION

Simplified Explanation

The abstract describes a device that can predictively generate replacement media data for a media bitstream when it determines that certain data will not be received within a period of time.

  • The device includes a memory to store media data and processors to receive and process the media data.
  • It receives a first set of media data and predicts replacement media data for the next set using a subset of the first set.
  • The device then presents the first set of media data along with the replacement media data.

Potential Applications

This technology could be applied in streaming services to ensure uninterrupted playback by predicting and generating missing data in real-time.

Problems Solved

This device solves the problem of potential interruptions in media playback due to missing data in a media bitstream.

Benefits

The main benefit of this technology is a seamless media playback experience for users without interruptions or delays.

Potential Commercial Applications

  • "Real-Time Media Data Replacement Technology for Seamless Playback" could be used in streaming services, online gaming platforms, and video conferencing applications.

Possible Prior Art

There may be prior art related to predictive data generation in media streaming services or real-time data processing in multimedia applications.

Unanswered Questions

How does this technology impact data usage in streaming services?

This article does not delve into the potential effects of predictive data generation on data consumption in streaming services.

What are the potential limitations of this predictive data generation technology?

The article does not address any potential drawbacks or limitations of using this predictive data generation technology in media playback scenarios.


Original Abstract Submitted

an example device for presenting media data includes a memory configured to store media data; and one or more processors implemented in circuitry and configured to: receive a first set of media data of a media bitstream; in response to determining that a second set of media data of the media bitstream following the first set of media data will not be received within a period of time, predictively generate replacement media data for the second set of media data using at least a subset of the first set of media data; and present the first set of media data and the replacement media data.