17933425. KEYWORD-BASED OBJECT INSERTION INTO A VIDEO STREAM simplified abstract (QUALCOMM Incorporated)

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KEYWORD-BASED OBJECT INSERTION INTO A VIDEO STREAM

Organization Name

QUALCOMM Incorporated

Inventor(s)

Sandeep Sethia of Bengaluru (IN)

Tanmay Agarwal of Najibabad (IN)

Ravichandra Ponaganti of Hyderabad (IN)

KEYWORD-BASED OBJECT INSERTION INTO A VIDEO STREAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17933425 titled 'KEYWORD-BASED OBJECT INSERTION INTO A VIDEO STREAM

Simplified Explanation

The abstract describes a device that can detect keywords in an audio stream, classify objects associated with those keywords, and insert them into a video stream.

  • The device includes processors that can:
  - Obtain an audio stream
  - Detect keywords in the audio stream
  - Classify objects associated with the keywords
  - Insert objects into a video stream

Potential Applications

This technology could be applied in: - Video editing software - Virtual reality systems - Augmented reality applications

Problems Solved

This technology solves the problem of: - Efficiently adding objects to video streams based on audio input - Enhancing user experience in multimedia applications

Benefits

The benefits of this technology include: - Streamlining the process of adding objects to videos - Improving the accuracy of object classification in multimedia content

Potential Commercial Applications

A potential commercial application for this technology could be in: - Entertainment industry for creating interactive multimedia content

Possible Prior Art

One possible prior art for this technology could be: - Audio recognition systems used in voice assistants like Siri or Alexa

Unanswered Questions

How does this technology handle multiple keywords in the audio stream?

The abstract does not specify how the device processes multiple keywords in the audio stream. It would be interesting to know if the device can prioritize certain keywords over others or if it can handle multiple keywords simultaneously.

What is the accuracy rate of object classification in the video stream?

The abstract does not mention the accuracy rate of object classification in the video stream. It would be important to understand how reliable the device is in correctly identifying and inserting objects based on the detected keywords.


Original Abstract Submitted

A device includes one or more processors configured to obtain an audio stream and to detect one or more keywords in the audio stream. The one or more processors are also configured to adaptively classify one or more objects associated with the one or more keywords. The one or more processors are further configured to insert the one or more objects into a video stream.

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