Image Frame Encoding for 3D Projection Spaces
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Solution Overview
Problem
Existing media content encoding techniques are not optimized for three-dimensional projection spaces, leading to suboptimal compression and visual quality issues when two-dimensional image frames are transformed into three-dimensional environments, such as VR spaces, resulting in uneven compression and potential visual discontinuities at seams between adjacent frames.
Innovation Solution
The proposed solution involves determining and applying quantization parameters based on the characteristics of image frame portions within their transformed three-dimensional projection space, considering distortions and geometric changes, to ensure more even compression and preserve visual detail, and synchronizing encoding parameters across adjacent frames at seams to minimize visual discontinuities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If image frames are encoded based on two-dimensional plane characteristics, then encoding simplicity is maintained, but visual quality and compression efficiency deteriorate in three-dimensional projection spaces
Solution Approach 1:
The patent transitions from encoding image frames based on two-dimensional plane characteristics to encoding based on three-dimensional projection space characteristics. The encoder determines quantization parameters by analyzing how image frame portions are distorted and transformed when projected into 3D space, rather than treating all pixels equally in the 2D plane. This dimensional shift resolves the contradiction by maintaining encoding feasibility while dramatically improving visual quality in VR/3D environments.
Solution Approach 2:
The patent applies different quantization parameters to different portions of the image frame based on their specific characteristics in projection space. Regions that undergo greater distortion or occupy larger areas in 3D space receive different encoding treatment compared to less distorted regions. This local differentiation maintains overall encoding efficiency while preserving visual quality in critical areas.
2Device complexity
If uniform compression is applied across all image frame portions, then encoding complexity is reduced, but visual quality becomes uneven in three-dimensional projection spaces
Solution Approach 1:
The patent implements non-uniform compression by determining quantization parameters for different portions of the image frame based on their projection space characteristics. Each portion is analyzed for its distortion level and area in 3D space, and appropriate quantization parameters are assigned to maintain visual quality uniformity across the projected view while managing encoding complexity through automated analysis.
3Productivity
If adjacent frames at seams are encoded independently, then encoding processing is simplified, but visual discontinuities occur in three-dimensional projection spaces
Solution Approach 1:
The patent merges the encoding process of adjacent frames at seams by coordinating quantization parameter selection across frame boundaries. The encoder analyzes the projection space characteristics of portions in adjacent frames and selects quantization parameters that ensure visual continuity when the frames are projected and displayed together in 3D space, eliminating seam artifacts while maintaining efficient processing.
Data Source
AI summary
Techniques are described for encoding image frames of media content to be displayed within a three-dimensional projection space. Characteristics of the image frame when transformed to fit within the projection space can be determined and used to generate encoding parameters. The image frame can then be encoded using those encoding parameters, and therefore, improve the playback of the media content when it is displayed within the projection space.