Decoding and coding method, device and equipment
By using feature adjustment factors and neural networks to reconstruct image blocks in video image encoding and decoding, the problem of poor encoding and decoding performance in the prior art is solved, and more efficient encoding and decoding is achieved while reducing complexity.
CN119697378AActive Publication Date: 2025-03-25HANGZHOU HIKVISION DIGITAL TECHNOLOGY CO LTD
5 Cites 0 Cited by
Patent Information
- Application Number
- CN202411918993.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-01-10
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2043-01-10
AI Technical Summary
Technical Problem
The existing video image encoding and decoding methods based on neural networks have problems such as poor encoding performance, poor decoding performance and high complexity.
Method used
The features of the image block are obtained through the first neural network, and the features are adjusted based on the feature adjustment factor to obtain the target features. Then, the image block is reconstructed through the second neural network, combining the network structure design and auxiliary code streams to improve the encoding and decoding performance.
Benefits of technology
The purpose of improving encoding and decoding performance is achieved, while reducing complexity and ensuring the quality of the reconstruction image block.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a decoding and coding method, device and equipment, and the decoding method comprises the steps: obtaining a first feature corresponding to a current image block through a first neural network, and obtaining a feature adjustment factor corresponding to the current image block, the first neural network comprising at least one convolution layer; determining a target feature based on the first feature and the feature adjustment factor; and obtaining a reconstructed image block corresponding to the current image block through a second neural network based on the target feature, the second neural network comprising at least one convolutional layer. Through the technical scheme of the invention, the coding performance and the decoding performance can be improved.
Need to check novelty before this filing date? Find Prior Art