Video Encoding Using Camera and Object Motion Parameters
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Solution Overview
Problem
Conventional video encoding techniques require frame-by-frame comparison, which is resource-intensive and can lead to image quality degradation and lag, especially in real-time video or computer game environments with high-frequency detail, as they fail to efficiently utilize camera and object movement information.
Innovation Solution
The proposed solution involves encoding video data by utilizing camera movement and object location information between frames, allowing for the reconstruction of subsequent frames without the need for frame-by-frame comparison, by determining the translation of frame portions based on camera and object movement parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frame-by-frame comparison is used for video encoding, then image quality can be maintained, but processor resources and memory resources are substantially consumed
Solution Approach 1:
The patent extracts and utilizes camera movement information and object location data from video frames, separating these motion parameters from the full frame comparison process. By extracting only the essential motion data rather than comparing entire frames, the system maintains image quality while substantially reducing processor and memory resource consumption.
Solution Approach 2:
The patent performs preliminary analysis to determine camera movement and object location information before conducting full frame comparison. By pre-identifying motion parameters and regions of interest in advance, the system prepares data structures that enable efficient encoding without requiring extensive real-time processing during the actual compression operation.
2Measurement precision
If frame-by-frame comparison is used for video encoding, then video data differences can be detected, but lag occurs in real-time video or computer game environments
Solution Approach 1:
The patent extracts camera movement information and object location data as separate motion parameters rather than performing complete frame comparisons. This extraction approach enables the system to detect video data differences with high precision while significantly reducing processing time and eliminating lag in real-time applications.
Solution Approach 2:
The patent determines camera movement and object location information in advance before full frame encoding is required. By performing this motion analysis preliminarily, the system prepares motion compensation data that can be quickly applied during real-time video or game rendering without causing temporal delay.
3Reliability
If more than two adjacent frames are analyzed to maintain image quality, then image quality is maintained, but substantial processor and memory resources are required
Solution Approach 1:
The patent extracts essential motion information (camera movement and object location) from frames rather than storing and comparing entire frame data. By extracting only the critical motion parameters needed for quality encoding, the system maintains image quality across multiple frames while dramatically reducing memory resource requirements.
Solution Approach 2:
The patent performs preliminary determination of camera movement and object location information that spans multiple frames. By calculating motion parameters in advance across the desired frame range, the system prepares comprehensive motion data without requiring simultaneous storage of all frames in memory during the encoding process.
Data Source
AI summary
The techniques for encoding video content are disclosed. In an online game environment, the techniques include obtaining information for a first and second successive frames of video content and information for a position of a virtual camera associated with each frame, determining virtual camera translation information based on the positions of the virtual camera, determining a projected movement between the frames of an object included in each frame, determining the portion of the first frame to be excluded from the second frame and a new portion of the second frame, and providing the determined encoded information for a reconstruction of the second frame based on the provided information.