Intel Corporation (20240244216). PREDICTIVE VIDEO DECODING AND RENDERING BASED ON ARTIFICIAL INTELLIGENCE simplified abstract

PREDICTIVE VIDEO DECODING AND RENDERING BASED ON ARTIFICIAL INTELLIGENCE

Organization Name

Intel Corporation

Inventor(s)

Chandrasekaran Sakthivel of Cupertino CA (US)

Jerome Anand of Bengaluru (IN)

Srikanth Potluri of Folsom CA (US)

Michael Daniel Rosenzweig of Queen Creek AZ (US)

Passant V. Karunaratne of Chandler AZ (US)

Chia-Hung Sophia Kuo of Folsom CA (US)

PREDICTIVE VIDEO DECODING AND RENDERING BASED ON ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240244216 titled 'PREDICTIVE VIDEO DECODING AND RENDERING BASED ON ARTIFICIAL INTELLIGENCE

Simplified Explanation

The patent application discloses systems and methods for predictive video decoding and rendering based on artificial intelligence. It involves predicting unsynchronized rendering of video frames with corresponding audio data, generating synthetic frames using machine learning models, and rendering them with the audio data.

• Predictive video decoding and rendering based on artificial intelligence
• Prediction of unsynchronized rendering of video frames with audio data
• Generation of synthetic frames using machine learning models
• Rendering synthetic frames with corresponding audio data

Key Features and Innovation

• Predictive video decoding and rendering based on AI
• Generation of synthetic frames to replace unsynchronized video frames
• Utilization of machine learning models for frame generation
• Seamless rendering of synthetic frames with audio data

Potential Applications

• Video streaming services
• Virtual reality applications
• Gaming industry
• Teleconferencing platforms
• Entertainment and media production

Problems Solved

• Synchronization issues between video frames and audio data
• Enhancing user experience in multimedia applications
• Improving video quality and rendering efficiency
• Addressing latency and buffering issues in video playback

Benefits

• Improved synchronization of video and audio
• Enhanced visual experience for users
• Efficient rendering of multimedia content
• Seamless playback of videos with high-quality audio

Commercial Applications

Predictive video decoding and rendering technology can be utilized in various commercial applications such as video streaming services, virtual reality platforms, gaming industry, teleconferencing solutions, and entertainment production companies.

Prior Art

Readers interested in exploring prior art related to predictive video decoding and rendering based on artificial intelligence can start by researching patents in the field of video processing, machine learning in multimedia applications, and audiovisual synchronization technologies.

Frequently Updated Research

Researchers are constantly exploring advancements in artificial intelligence for video processing, machine learning models for multimedia applications, and real-time rendering techniques for enhanced user experience in multimedia content delivery.

Questions about Predictive Video Decoding and Rendering

What are the potential challenges in implementing predictive video decoding and rendering technology?

Implementing predictive video decoding and rendering technology may face challenges related to real-time processing, accuracy of predictions, and seamless integration with existing multimedia systems.

How can predictive video decoding and rendering technology impact the future of multimedia content delivery?

Predictive video decoding and rendering technology has the potential to revolutionize multimedia content delivery by improving synchronization, enhancing visual quality, and optimizing rendering efficiency for a seamless user experience.

Original Abstract Submitted

systems, apparatus, articles of manufacture, and methods to implement predictive video decoding and rendering based on artificial intelligence are disclosed. example apparatus disclosed herein are to predict that rendering of a video frame of a media stream will be unsynchronized with rendering of corresponding audio data of the media stream. disclosed example apparatus are also to generate a synthetic frame based on a machine learning model to replace the video frame. disclosed example apparatus are further to cause the synthetic frame to be rendered with the corresponding audio data.