Selective Volumetric Video Compression for VR

Solution Overview

Problem

The storage and processing requirements for volumetric video in virtual reality environments often exceed allocated capacities, necessitating improved compression techniques to reduce these demands.

Innovation Solution

A method and system that selectively compresses portions of volumetric video based on user-defined boundaries, regions of interest, and viewing directions, while maintaining certain portions in an uncompressed form, using machine learning for segmentation and regeneration rules to optimize storage and processing efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the entirety of volumetric video is maintained in uncompressed form, then navigation and viewing quality are improved, but storage requirements and processing capacity requirements exceed allocated capacities

Engineering Contradiction:

Improvenavigation capabilityVSAvoidstorage requirements

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The volumetric video is divided into multiple portions or regions, with different portions compressed at different levels. Critical regions maintaining high quality for navigation while non-critical regions use higher compression to reduce storage requirements.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different portions of the volumetric video are assigned different compression levels based on their importance for navigation and viewing. Regions of interest maintain higher quality (lower compression) while less important regions use higher compression, optimizing the balance between navigation capability and storage efficiency.

Inventive Principle:

Principle #3Local quality

2Reliability

If the entirety of volumetric video is maintained in uncompressed form, then navigation and viewing quality are improved, but processing capacity requirements exceed allocated capacities

Engineering Contradiction:

Improvenavigation capabilityVSAvoidprocessing capacity requirements

Core Design Contradiction:

ReliabilityVSPower

Solution Approach 1:

The volumetric video is divided into multiple portions or regions, with different portions compressed at different levels. Critical regions maintaining high quality for navigation while non-critical regions use higher compression to reduce processing requirements.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different portions of the volumetric video are assigned different compression levels based on their importance for navigation and viewing. Regions of interest maintain higher quality (lower compression) while less important regions use higher compression, optimizing the balance between navigation capability and processing efficiency.

Inventive Principle:

Principle #3Local quality

3Quantity of substance

If selective compression is applied to volumetric video, then storage and processing requirements are reduced, but compression artifacts may affect navigation and viewing quality

Engineering Contradiction:

Improvestorage requirementsVSAvoidnavigation capability

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The volumetric video is divided into multiple portions or regions, with different portions compressed at different levels. Critical regions maintaining high quality for navigation while non-critical regions use higher compression to reduce storage requirements.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different portions of the volumetric video are assigned different compression levels based on their importance for navigation and viewing. Regions of interest maintain higher quality (lower compression) while less important regions use higher compression, optimizing the balance between navigation capability and storage efficiency.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12094064B2Selective compression of volumetric video in a virtual reality environment preliminary class

Publication Date: 2024.09.17 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A computational device of a virtual reality system receives a volumetric video in an uncompressed form. A first portion of the volumetric video that is less than an entirety of the volumetric video is compressed, wherein a second portion of the volumetric video that is less than the entirety of the volumetric video is maintained in the uncompressed form.