XR Multimedia Compression Using Feature Separation and Loss Mapping
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Solution Overview
Problem
Existing video compression methods in extended reality (XR) environments suffer from high bandwidth requirements and transmission delays, affecting user experience due to the need to transmit and receive full sphere visual/audio information, which is inefficient and slows down the process.
Innovation Solution
A method involving separating video and audio features from a multimedia stream, applying different compressions to each, generating a loss mapping matrix, and transmitting a compressed multimedia stream, which includes reconstructed features using a generative data-driven model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full sphere visual/audio information is transmitted without separation, then complete information is preserved, but bandwidth requirements increase and transmission delays occur
Solution Approach 1:
The multimedia stream is segmented into distinct video features and audio features, allowing independent processing and compression of each feature type. This segmentation enables optimized compression strategies for each modality while maintaining complete information representation, thereby reducing overall transmission delay without losing information completeness.
Solution Approach 2:
Specific features are extracted from the multimedia stream based on their importance and characteristics. Video features (e.g., spatial coefficients, edge information) and audio features (e.g., amplitude, frequency) are separated and processed differently, allowing critical information to be preserved while less critical data is compressed more aggressively, reducing transmission time.
2Reliability
If full sphere visual/audio information is transmitted, then information completeness is maintained, but bandwidth requirements increase
Solution Approach 1:
Different compression qualities are applied to different features based on their local importance. Video features undergo spatial transformation and selective compression where certain frequency components are preserved with higher quality while others are compressed more aggressively. Audio features receive similar differential treatment, ensuring critical perceptual information maintains high quality while reducing overall bandwidth consumption.
Solution Approach 2:
The compression parameters are dynamically adjusted for different feature types. Video compression uses parameters such as spatial coefficient thresholds and edge detection sensitivity, while audio compression uses amplitude and frequency band parameters. These parameter changes enable optimized bandwidth usage while preserving the essential characteristics of each feature type.
3Productivity
If compression is applied to multimedia stream, then bandwidth efficiency improves, but reconstruction accuracy may deteriorate
Solution Approach 1:
Feature-specific transformation and mapping functions serve as intermediaries between the original and compressed representations. Video features are transformed through spatial transforms with loss mapping matrices that preserve critical spatial relationships. Audio features use frequency-domain transformations that maintain perceptual quality. These intermediary transformations enable efficient compression while preserving reconstruction accuracy for the most important features.
4Productivity
If separate compression is applied to video and audio features, then compression efficiency improves, but processing complexity increases
Solution Approach 1:
The processing pipeline is segmented into distinct stages: feature separation, independent video compression, independent audio compression, and recombination. Each stage handles specific feature types with specialized algorithms, improving compression efficiency while organizing complexity into manageable, modular components that can be processed independently.
Data Source
AI summary
A method for video compression in an extended reality (XR) environment by an electronic device, may include: separating at least one first feature from a multimedia stream; separating at least one second feature from the multimedia stream; applying a first compression to the at least one first feature to generate at least one compressed first feature; applying a second compression to the at least one second feature to generate at least one compressed second feature; generating a loss mapping matrix for the first compression, and the second compression; generating a compressed multimedia stream including the at least one compressed first feature, the at least one compressed second feature, and the loss mapping matrix; and transmitting the compressed multimedia stream to another electronic device.