20240048739. ADAPTIVE PERCEPTUAL MAPPING AND SIGNALING FOR VIDEO CODING simplified abstract (ARRIS Enterprises LLC)

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ADAPTIVE PERCEPTUAL MAPPING AND SIGNALING FOR VIDEO CODING

Organization Name

ARRIS Enterprises LLC

Inventor(s)

Koohyar Minoo of San Diego CA (US)

Zhouye Gu of San Jose CA (US)

David M. Baylon of San Diego CA (US)

Ajay Luthra of San Diego CA (US)

ADAPTIVE PERCEPTUAL MAPPING AND SIGNALING FOR VIDEO CODING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240048739 titled 'ADAPTIVE PERCEPTUAL MAPPING AND SIGNALING FOR VIDEO CODING

Simplified Explanation

The abstract of the patent application describes a method for improving the perceptual quality of a digital video through encoding. The method involves receiving a digital video at a video encoder and using a perceptual quantizer function defined by the invention.

  • The method aims to enhance the visual quality of digital videos.
  • It involves receiving a digital video at a video encoder.
  • The method utilizes a perceptual quantizer function defined by the invention.
  • The perceptual quantizer function helps in encoding the video to improve its perceptual quality.

Potential Applications:

  • Video streaming platforms: This technology can be applied to improve the quality of videos streamed on platforms like Netflix, YouTube, etc., enhancing the viewing experience for users.
  • Video conferencing: By improving the perceptual quality of digital videos, this technology can enhance the clarity and visual experience during video conferencing sessions.
  • Video surveillance: The method can be used to improve the quality of surveillance videos, making it easier to identify objects and individuals in the footage.

Problems Solved:

  • Low perceptual quality: The technology addresses the problem of videos with low perceptual quality, which can result in a poor viewing experience.
  • Compression artifacts: By using the perceptual quantizer function, the method helps reduce compression artifacts that can occur during video encoding, resulting in improved visual quality.

Benefits:

  • Enhanced visual experience: The technology improves the perceptual quality of digital videos, leading to a more enjoyable and immersive viewing experience.
  • Improved video communication: By enhancing the quality of videos, this technology can improve communication during video conferences and other video-based interactions.
  • Better surveillance footage: The method helps in capturing higher-quality surveillance videos, enabling better identification and analysis of objects and individuals.


Original Abstract Submitted

a method is provided for encoding a digital video to improve perceptual quality. the method includes receiving a digital video at a video encoder, providing a perceptual quantizer function defined by