Adaptive Media Processing Nodes Using State Metadata Across Chains
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Solution Overview
Problem
Media processing units often operate in a blind fashion, leading to unnecessary processing and degradation of media data when multiple units are scattered across a network or used in tandem, as they do not consider the processing history of the media data, resulting in redundant operations and quality issues.
Innovation Solution
The implementation of an enhanced media processing chain that enables media processing units to retrieve and validate processing state metadata, allowing them to adapt their processing based on the state of the media data, thereby avoiding redundant operations and ensuring efficient and predictable media rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If media processing units operate in a blind fashion without considering processing history, then device complexity is reduced and ease of operation is improved, but productivity decreases due to redundant processing operations
Solution Approach 1:
The system performs preliminary actions by embedding processing state metadata (such as loudness information, processing history, and feature data) into the media bitstream during encoding. This allows downstream processing units to提前做好 decisions about whether additional processing is needed, avoiding redundant operations while maintaining ease of operation.
Solution Approach 2:
The patent implements feedback mechanisms where processing state metadata is carried through the media bitstream and used by subsequent processing units to adjust their behavior. For example, loudness metadata from upstream processing is fed back to downstream volume leveling units to prevent unnecessary processing, thereby improving productivity without complicating operation.
2Adaptability or versatility
If multiple media processing units are scattered across a network or used in tandem, then adaptability and versatility are improved, but loss of information increases due to lack of awareness of processing history
Solution Approach 1:
The patent introduces processing state metadata as an intermediary that carries information about previous processing operations through the media bitstream. This intermediary preserves processing history across distributed processing units, preventing information loss while maintaining the adaptability benefits of distributed architecture.
Solution Approach 2:
The system segments processing information into discrete metadata fields (loudness, dynamic range, processing history flags) that can be independently carried and interpreted by different processing units. This segmentation allows each unit to selectively use relevant information without requiring complete awareness of all processing steps, reducing information loss in distributed systems.
3Productivity
If processing state metadata is carried through the media bitstream, then productivity is improved by avoiding redundant processing, but device complexity increases due to additional metadata handling requirements
Solution Approach 1:
The patent makes processing state metadata multi-functional by using it for multiple purposes: guiding processing decisions, preserving quality, enabling fast-forward processing, and supporting distributed processing. This universality justifies the added complexity by demonstrating that a single metadata infrastructure serves multiple productivity-enhancing functions.
Solution Approach 2:
The system changes parameters by encoding processing state information in compact metadata fields within the bitstream (such as loudness values, processing flags, and feature data). These parameter changes allow rich processing information to be carried with minimal overhead, improving productivity while limiting the increase in device complexity.
4Ease of operation
If volume leveling is performed on media data that has already been leveled, then ease of operation is maintained with simple processing logic, but manufacturing precision deteriorates due to degradation and removal of features
Solution Approach 1:
The system performs preliminary action by embedding loudness metadata and processing history information into the media bitstream before downstream processing. This allows volume leveling units to提前做好 the decision to skip processing when leveling has already been applied, preventing feature degradation while maintaining simple processing logic through automatic metadata-driven control.
Solution Approach 2:
The patent implements feedback where loudness metadata from upstream processing is carried through the bitstream and used by downstream volume leveling units to determine whether additional processing is needed. This feedback mechanism prevents redundant processing that would degrade quality, maintaining manufacturing precision while keeping the processing logic simple and automatic.
Data Source
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AI summary
Techniques for adaptive processing of media data based on separate data specifying a state of the media data are provided. A device in a media processing chain may determine whether a type of media processing has already been performed on an input version of media data. If so, the device may adapt its processing of the media data to disable performing the type of media processing. If not, the device performs the type of media processing. The device may create a state of the media data specifying the type of media processing. The device may communicate the state of the media data and an output version of the media data to a recipient device in the media processing chain, for the purpose of supporting the recipient device's adaptive processing of the media data.