Model-Based Video Fixing for Wireless Network Bandwidth Optimization
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Solution Overview
Problem
Current video sharing technologies over wireless networks face challenges in maintaining simultaneous two-way video sharing, particularly due to network resource constraints and compatibility issues when devices transition between different network types, leading to dropped sessions.
Innovation Solution
Implementing model-based video fixing, where devices analyze and model video data, format instructions, and transmit only the necessary data and models to enable real-time video synthesis at the receiving device, reducing network load and allowing for simultaneous two-way video sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full video data is transmitted over the network, then video quality is maintained, but network resources are consumed and bandwidth requirements increase
Solution Approach 1:
The video data is segmented into two components: full video data for regions requiring high fidelity and modeled data for regions where approximation suffices. This segmentation allows the system to transmit only necessary portions of video data, reducing network bandwidth consumption while maintaining acceptable video quality in critical regions.
Solution Approach 2:
Instead of transmitting complete video data, the system creates simplified models (copies) of video regions that can be reconstructed at the receiving end. These models contain essential characteristics of the original video regions but occupy significantly less space, reducing network transfer requirements while preserving perceptual quality.
2Quantity of substance
If model-based video fixing is implemented, then network resource consumption is reduced, but device complexity increases due to modeling and synthesis requirements
Solution Approach 1:
The receiving device performs self-service by synthesizing video regions from transmitted models and data. Instead of requiring the network to transmit all video data, the receiving device uses its own processing capabilities to reconstruct video regions, shifting the computational burden from network transmission to local device processing.
Solution Approach 2:
Video regions are pre-analyzed and modeled before transmission, with only the essential modeling parameters and key video data being transmitted. This preliminary action at the transmitting end reduces the processing burden at the receiving end, as the heavy lifting of video analysis has already been completed.
3Duration of action of stationary object
If video sharing session continues during network transitions, then service continuity is maintained, but session stability decreases due to compatibility issues between different network types
Solution Approach 1:
The system adapts video transmission parameters based on the current network type. When transitioning between network types (e.g., WiFi to cellular), the system adjusts parameters such as video resolution, frame rate, and modeling complexity to match the capabilities of the current network, thereby maintaining session stability and continuity across different network environments.
Data Source
AI summary
Systems and methods for model-based video fixing are disclosed. A video can be retrieved and analyzed to determine if any portion of the video can be represented by a model. If a portion that can be modeled is identified, a model that approximates the portion can be specified, the portion can be removed from the video, and instructions for modeling the video can be formatted. The video and the instructions can be transmitted to a receiving device, which can synthesize the model and the received video to generate a model-based video. Systems for providing the model-based video fixing are also disclosed.