Method and data processing system for encoding, transmission and decoding of lost images or video - Patents.com
JP2024540005A5Pending Publication Date: 2025-10-31DEEP RENDER LTD
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Patent Information
- Application Number
- JP2024525029
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2021-10-26
- Filing Date
- 2022-10-26
- Publication Date
- 2025-10-31
AI Technical Summary
Technical Problem
Existing image and video compression techniques using artificial intelligence (AI) often result in poor compression quality and require significant data transmission, leading to increased energy consumption in communication networks.
Method used
A method involving training neural networks for encoding and decoding lossy images or videos, where the difference between input and output images is evaluated to update network parameters, using functions based on square, absolute values, and variance of multiple outputs, and incorporating clustering algorithms to specialize models for specific data clusters.
Benefits of technology
Improves compression quality and reduces data transmission requirements, resulting in more efficient energy use in communication networks.
✦ Generated by Eureka AI based on patent content.
Abstract
A method for training one or more neural networks for use in encoding, transmitting, and decoding lost images or lost videos, the method comprising: receiving an input image at a first computer system; encoding the input image using a first neural network and decoding a latent representation using a second neural network to generate an output image; at least one of a plurality of layers of the first or second neural network configuring a transformation; the method further comprises: evaluating a difference between the output image and the input image; evaluating a function based on the output of the transformation; updating parameters of the first neural network and the second neural network based on the evaluated difference and the evaluated function; and repeating the above steps.
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