ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE (20240282345). APPARATUS AND METHOD FOR AUDIO-VIDEO SAMPLING FREQUENCY RATIO UNIFICATION simplified abstract
Contents
APPARATUS AND METHOD FOR AUDIO-VIDEO SAMPLING FREQUENCY RATIO UNIFICATION
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
APPARATUS AND METHOD FOR AUDIO-VIDEO SAMPLING FREQUENCY RATIO UNIFICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240282345 titled 'APPARATUS AND METHOD FOR AUDIO-VIDEO SAMPLING FREQUENCY RATIO UNIFICATION
The patent application describes an apparatus and method for unifying the sampling frequency ratio of audio and video signals using a deep learning network.
- Memory stores at least one program, and a processor executes the program.
- The program receives audio and video signals, adjusts the sampling frequency ratio based on a deep learning network, and outputs the adjusted signals.
Potential Applications: - This technology can be used in multimedia systems to ensure synchronized audio and video playback. - It can be applied in video conferencing systems to improve audio-video synchronization.
Problems Solved: - Ensures constant sampling frequency ratio between audio and video signals. - Improves overall audio-video synchronization in multimedia systems.
Benefits: - Enhanced audio-video synchronization. - Improved user experience in multimedia playback. - Efficient processing of audio and video signals.
Commercial Applications: Title: "Enhancing Audio-Video Synchronization in Multimedia Systems" This technology can be utilized in smart TVs, streaming devices, video conferencing systems, and multimedia editing software to provide seamless audio-video synchronization, improving user experience and overall performance.
Questions about Audio-Video Sampling Frequency Ratio Unification: 1. How does the deep learning network help in adjusting the sampling frequency ratio?
- The deep learning network analyzes the audio and video signals to determine the optimal sampling frequency ratio for synchronization.
2. What are the potential challenges in implementing this technology in real-time applications?
- Real-time processing requirements and hardware limitations may pose challenges in achieving seamless audio-video synchronization.
Original Abstract Submitted
disclosed herein are an apparatus and method for audio-video sampling frequency ratio unification, including memory configured to store at least one program, and a processor configured to execute the program, wherein the program is configured to perform receiving an audio signal and a video signal, adjusting a ratio of a sampling frequency of the audio signal to a sampling frequency of the video signal so that the sampling frequency ratio is constant based on a deep learning network, and outputting an adjusted audio signal and the video signal.
