Picture Codec Network Selection for Mixed-Power Decoding
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Solution Overview
Problem
Current neural network-based picture encoding and decoding schemes have a fixed network structure, which fails to meet the diverse computing power requirements of different application scenarios, leading to reduced compression efficiency on low-power devices and incompatibility with high-power devices.
Innovation Solution
A flexible encoding and decoding scheme that includes encoding identification information indicating the used decoder network into a bitstream, allowing for the selection of different decoder networks based on computing power, enabling adaptable decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed network structure is used for picture encoding and decoding, then the system is simple to implement, but it cannot meet the diverse computing power requirements of different application scenarios
Solution Approach 1:
The patent implements dynamic network structure selection by introducing identification information in the bitstream that indicates which decoder network should be used. The system can dynamically switch between different decoder networks (first decoder network with lower processing resources and second decoder network with higher processing resources) based on the computing power of the terminal device, making the system adaptable to various scenarios without being fixed.
Solution Approach 2:
The patent changes the parameter of network structure by providing multiple decoder network options with different processing resource requirements. The identification information embedded in the bitstream allows the system to select and switch between these different network configurations, effectively changing the system's operational parameters to match the terminal device's computing capabilities.
2Manufacturing precision
If a high-processing-resource decoder network is used, then compression performance is improved, but it increases delay and is incompatible with low-power devices
Solution Approach 1:
The system dynamically adjusts the decoder network selection based on terminal device capabilities. Low-power devices can use the first decoder network with lower processing resources to avoid excessive delay, while high-power devices can utilize the second decoder network with higher processing resources to achieve better compression performance. This dynamic adaptation resolves the trade-off between compression performance and decoding delay.
3Manufacturing precision
If a high-processing-resource decoder network is used, then compression performance is improved, but it cannot be deployed on low-power terminal devices
Solution Approach 1:
The patent creates a universal decoding system that can function across multiple device types by providing multiple decoder network options. The first decoder network is optimized for low-power devices, while the second decoder network is optimized for high-power devices. The identification information mechanism enables the same encoding system to universally support both low-power and high-power terminal devices, achieving multi-functionality and broad compatibility.
4Adaptability or versatility
If different decoder networks are provided for different devices, then adaptability to different computing power scenarios is improved, but the system complexity increases
Solution Approach 1:
The patent segments the decoder into multiple specialized networks: a first decoder network optimized for low-power devices and a second decoder network optimized for high-power devices. Each network is independently designed and optimized for its target platform. The identification information in the bitstream acts as a selector that directs the appropriate segmented decoder to process the data, making the complexity manageable through clear segmentation and specialization.
Data Source
AI summary
A picture encoding method and apparatus, and a picture decoding method and apparatus are provided, and relate to the artificial intelligence field and the picture compression field, to provide an encoding and decoding scheme, thereby meeting requirements of different application scenarios. According to the encoding method and the decoding method provided in this application, a used encoder and decoder network may be determined based on profile information (or identification information). That is, a codec may select corresponding profile information based on a capability of a decoding device, to select or indicate different encoder and decoder networks. In this way, the network may not only have a capability of adapting to a terminal side with low computing power, but also have a capability of adapting to a terminal side with higher computing power.