18351009. METHOD AND APPARATUS WITH NEURAL CODEC simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
METHOD AND APPARATUS WITH NEURAL CODEC
Organization Name
Inventor(s)
Seunghoon Jee of Suwon-si (KR)
METHOD AND APPARATUS WITH NEURAL CODEC - A simplified explanation of the abstract
This abstract first appeared for US patent application 18351009 titled 'METHOD AND APPARATUS WITH NEURAL CODEC
The abstract describes a neural codec that utilizes two simulated predictors to predict blocks within a current frame based on neighboring blocks and reference frames.
- The first simulated predictor predicts a block in the current frame using pixels from adjacent blocks and the target block.
- The second simulated predictor predicts a block using a reference block from a reference frame adjacent to the current frame and the target block.
- A selection network chooses between the predictions based on a prediction mode to determine the final predicted block.
Potential Applications: - Video compression and encoding technologies - Image processing and enhancement algorithms - Real-time video streaming and transmission systems
Problems Solved: - Efficient prediction of blocks in video frames - Reduction of data redundancy in video encoding - Improved video quality and compression ratios
Benefits: - Higher compression efficiency - Enhanced video quality - Reduced bandwidth requirements for video transmission
Commercial Applications: Title: "Advanced Video Compression Technology for Enhanced Streaming Services" This technology can be utilized in streaming platforms, video conferencing systems, and surveillance cameras to optimize video encoding and transmission processes.
Prior Art: There may be existing patents related to neural codecs, video compression algorithms, and predictive encoding methods in the field of multimedia technology.
Frequently Updated Research: Stay updated on advancements in neural network-based video compression techniques, predictive encoding algorithms, and real-time video processing technologies.
Questions about Neural Codec Technology: 1. How does the selection network determine which predicted block to choose? The selection network selects the predicted block based on a prediction mode specified for each block. 2. What are the key advantages of using simulated predictors in video encoding compared to traditional methods? Simulated predictors can leverage neural networks to enhance prediction accuracy and efficiency in video encoding processes.
Original Abstract Submitted
A neural codec includes a first simulated predictor for predicting a first block corresponding to a target block within a current frame, wherein the first block is predicted in accordance with the target block of the to-be-predicted current frame and pixels of neighbor blocks adjacent to the target block being input to the first simulated predictor, a second simulated predictor for predicting a second block corresponding to a target block using a reference block of a frame determined based on a prediction mode, wherein the second block is predicted in accordance with the reference block of a reference frame adjacent to the current frame and the target block being input to the second simulated predictor, and a selection network configured to select, based on the prediction mode, one of the first block and the second block as a predicted block.
