Discrete Directivity Encoding for Interpolation-Free 6 DoF Rendering

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Solution Overview

Problem

Conventional discrete directivity representations for sound sources are sub-optimal for 6 Degrees-of-Freedom (6 DoF) rendering, requiring interpolation and resulting in large bitstream sizes due to redundancy and irrelevance in directivity data.

Innovation Solution

A method for optimizing directivity representation by distributing unit vectors non-uniformly on a 3D sphere using a predetermined arrangement algorithm, allowing for efficient decoding and reduced bitrates without interpolation, based on perceptual directivity sensitivity thresholds.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If conventional discrete directivity representations are used, then directivity information can be transmitted, but the bitstream size becomes large due to redundancy and irrelevance

Engineering Contradiction:
Improvedirectivity information completenessVSAvoidbitstream size
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential directivity information by representing the radiation pattern through a reduced set of parameters (spherical harmonics coefficients, discrete vector data, or parametric models) rather than transmitting complete measured data. This extraction removes redundant and imperceptible components, achieving compact representation while preserving perceptually relevant directivity characteristics.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms directivity representation from raw measured data to optimized parameter sets (spherical harmonics coefficients, discrete vectors with gains, or parametric model parameters). This parameter transformation reduces data dimensionality while maintaining the ability to reconstruct the radiation pattern, thereby reducing bitstream size without significant loss of perceptual quality.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If conventional discrete directivity representations are used, then directivity data can be transmitted, but computational complexity increases due to interpolation requirements

Engineering Contradiction:
Improvedirectivity representation accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary organization of directivity data into structured formats (spherical harmonics decomposition, uniformly distributed discrete vectors, or parametric models) during encoding. This preliminary structuring enables efficient retrieval and rendering without requiring complex interpolation operations during real-time playback, thereby reducing computational complexity while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates simplified copies of the radiation pattern using mathematical models (spherical harmonics, discrete vectors, or parametric representations) that capture the essential directivity characteristics. These model-based copies can be evaluated directly without interpolation, reducing computational complexity compared to working with complete measured data sets.

Inventive Principle:
Principle #26Copying

3Measurement precision

If non-uniformly distributed unit vectors are used, then representation accuracy improves, but encoding complexity increases

Engineering Contradiction:
Improveangular resolutionVSAvoidencoding complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs adaptive strategies where the number and distribution of discrete vectors are dynamically adjusted based on the complexity of the radiation pattern and perceptual requirements. For simple patterns, fewer vectors are used; for complex patterns, more vectors are allocated. This dynamic adaptation optimizes the balance between representation accuracy and encoding complexity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent transforms the directivity representation into parameterized forms (spherical harmonics coefficients, discrete vectors with associated gains, or parametric model parameters) that can efficiently represent non-uniform distributions. These parameter changes enable accurate representation of angular variations without requiring explicit storage of all individual vector directions, thereby managing encoding complexity.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12369007B2Methods, apparatus and systems for representation, encoding, and decoding of discrete directivity data
Publication Date: 2025.07.22 DOLBY INTERNATIONAL AB
  • US12369007B2 patent drawing
  • US12369007B2 patent drawing
  • US12369007B2 patent drawing

AI summary

The present disclosure relates to a method of processing audio content including directivity information for at least one sound source, the directivity information comprising a first set of first directivity unit vectors representing directivity directions and associated first directivity gains. The disclosure further relates to corresponding methods of encoding and decoding audio content including directivity information for at least one sound source.