NNPF Padding Syntax Constraints for Low-Bandwidth Video Bitstreams
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Solution Overview
Problem
Existing video coding standards, such as VVC, lack efficient mechanisms for signaling neural-network post-processing filters (NNPFs) and passing activation parameters, leading to suboptimal video processing and increased bandwidth demand.
Innovation Solution
Implementing a method to constrain the value of neural-network post-filter characteristics (NNPFC) padding type syntax element (nnpfc_padding_type) to a range of 0 to 4, inclusive, and performing conversions between visual media data and bitstreams to optimize NNPF activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing video coding standards are used without NNPF signaling mechanisms, then device complexity is reduced, but video processing efficiency deteriorates and bandwidth demand increases
Solution Approach 1:
The patent segments the NNPF configuration into separate syntax elements (nnpfc_padding_type, nnpfc_overlap, nnpfc_pic_width_in_luma_samples, nnpfc_pic_height_in_luma_samples) that can be independently signaled and processed. This allows the system to enable advanced video processing features while maintaining a modular structure that doesn't require complete redesign of the coding standard.
Solution Approach 2:
The patent introduces dynamic parameters for NNPF configuration that can be adjusted based on picture characteristics and processing requirements. The syntax elements allow flexible specification of padding types, overlap regions, and picture dimensions, enabling the system to adapt to different video content and processing scenarios without fixed constraints.
2Adaptability or versatility
If NNPF activation parameters are not properly constrained, then adaptability is improved, but bandwidth requirements increase
Solution Approach 1:
The patent changes the parameter representation by constraining nnpfc_padding_type to specific values (0-4) and using efficient encoding methods for other parameters. This reduces the bit representation required while maintaining the ability to specify different padding configurations and NNPF behaviors through the defined syntax elements.
Solution Approach 2:
The patent signals only the essential NNPF parameters needed for post-processing (padding type, overlap, picture dimensions) rather than complete NNPF configurations. This partial signaling approach provides sufficient adaptability for video processing while avoiding transmission of redundant information that would increase bandwidth requirements.
3Manufacturing precision
If comprehensive NNPF signaling is implemented, then video quality is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential NNPF configuration parameters from the complete NNPF system and signals only these critical elements (nnpfc_padding_type, nnpfc_overlap, picture dimensions) in the bitstream. This extraction approach enables high-precision video processing through NNPF while avoiding the complexity of signaling and processing all possible NNPF parameters.
Data Source
AI summary
A mechanism for processing video data is disclosed. The mechanism includes determining a value of a neural-network post-filter characteristics (NNPPC) padding type syntax element (nnpfc_padding_type). The value of the nopfc_padding_type is constrained to a range of 0 to 4, inclusive. A conversion is performed between a visual media data and a bitstream based on the nnpfc_padding_type.