Geometric Model Motion Vector Encoding
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Solution Overview
Problem
Conventional video encoders for computer-generated content rely on motion estimation, which can be inefficient in evaluating motion vectors, leading to suboptimal compression and increased data rates for high-definition video signals.
Innovation Solution
Direct evaluation of motion vectors based on geometric models used for generating computer-generated imagery, rather than estimation, to improve encoding efficiency and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If motion estimation is used in conventional video encoders, then the encoding process can handle general video content, but the evaluation of motion vectors becomes inefficient and compression is suboptimal
Solution Approach 1:
The patent replaces the conventional motion estimation mechanism (which uses pixel-based comparison and search algorithms) with a direct geometric model-based motion vector derivation system. This substitution eliminates the need for iterative estimation processes and directly computes motion vectors from geometric transformations, thereby improving both encoding efficiency and motion vector accuracy for computer-generated content.
Solution Approach 2:
The patent changes the fundamental parameters used for motion representation from pixel intensity values to geometric transformation parameters. By deriving motion vectors directly from geometric model transformations (such as camera movement, object motion, and scene graph changes), the system achieves more accurate motion representation and better compression efficiency without relying on traditional pixel-based estimation methods.
2Quantity of substance
If high-definition video signals are compressed using conventional methods, then standard compression algorithms can be applied, but the data rate remains impractically high for storage and transmission
Solution Approach 1:
The patent extracts and removes redundant information from high-definition video signals by leveraging the structured nature of computer-generated content. By identifying and eliminating temporal and spatial redundancies through geometric model-based prediction, the system significantly reduces the data rate while preserving visual quality, making HD video storage and transmission practically feasible.
Solution Approach 2:
The patent performs preliminary compression by deriving motion vectors from geometric models before the actual encoding process. This pre-processing step enables more efficient prediction and residual encoding, thereby reducing the final data rate and making high-definition video content more manageable for storage and transmission applications.
3Ease of operation
If motion estimation algorithms are used to evaluate motion vectors, then the process can work with any video content, but the evaluation becomes computationally complex and time-consuming
Solution Approach 1:
The patent substitutes complex iterative motion estimation algorithms with direct geometric model-based motion vector derivation. This replacement eliminates computationally intensive search processes and pixel-by-pixel comparisons, thereby simplifying the motion vector evaluation process and significantly reducing encoding time for computer-generated video content.
Data Source
AI summary
An example method for encoding computer-generated video content may comprise: generating, based on a geometric model, a sequence of video frames. The example method may further comprise determining, based on the geometric model, a velocity map comprising a plurality of velocity values for a plurality of pixels, wherein each velocity value represents a difference between a viewport position of a pixel in a current frame and a previous frame. The example method may further comprise determining, based on the velocity map, a plurality of motion vectors, wherein each motion vector corresponds to a macroblock comprising one or more pixels of a video frame of the sequence of video frames. The example method may further comprise producing, by a processing device, an output bit stream representative of the sequence of video frames, by encoding, using the motion vectors, the sequence of video frames.