Scalable Video Compression for Dynamic Bit Rate Adjustment
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Solution Overview
Problem
Conventional video compression and transmission systems face challenges in adapting to variable operating conditions of communication links, leading to inefficient bit rate management and potential video quality degradation due to unpredictable network conditions such as data losses and errors.
Innovation Solution
A system and method for scalable video compression and transmission that dynamically adjusts bit rates by compressing and scaling video data based on real-time operating conditions, using techniques like DPCM, H.264 compression, and adaptive frame rates, to ensure reliable and high-quality video transmission over wireless or wired links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video data is transmitted at high bit rate, then video quality is improved, but network resource consumption increases and transmission reliability decreases under variable network conditions
Solution Approach 1:
The system dynamically adjusts the bit rate based on real-time network conditions. The video processing device monitors network throughput and packet error rates, then adapts the compression parameters and scaling factors to optimize the balance between video quality and transmission reliability. This dynamic adjustment allows the system to maintain high quality when network conditions permit while ensuring reliable transmission when conditions deteriorate.
Solution Approach 2:
The invention changes multiple parameters simultaneously including compression ratio, frame rate, resolution scaling, and chroma subsampling to control the output bit rate. By adjusting these parameters based on network feedback, the system can transmit video at appropriate quality levels that match current network capabilities, preventing both quality degradation and unnecessary resource consumption.
2Productivity
If video data is compressed to reduce bit rate, then transmission efficiency is improved, but video quality deteriorates
Solution Approach 1:
The system dynamically adjusts compression parameters based on network conditions and content characteristics. Rather than using fixed compression settings, the video processing device modifies compression ratio, quantization parameters, and encoding modes in real-time to achieve the minimum necessary compression for current bandwidth while preserving maximum possible quality.
Solution Approach 2:
The invention applies different compression strategies to different parts of the video content. Important regions with high visual information are compressed less aggressively, while less critical areas undergo higher compression. This selective approach maintains overall quality while achieving necessary bit rate reduction for efficient transmission.
3Reliability
If network conditions are unpredictable with data losses and errors, then transmission reliability is compromised, but adaptive systems can adjust to maintain quality
Solution Approach 1:
The system implements a feedback mechanism where the video processing device receives information about network performance including packet error rates and throughput measurements. Based on this feedback, the device adjusts compression parameters and retransmission strategies to compensate for network errors, thereby maintaining transmission reliability despite variable conditions.
Solution Approach 2:
The invention incorporates error correction codes and redundant data transmission before potential data loss occurs. By adding these protective measures in advance, the system can recover from network errors and packet losses without significant quality degradation, ensuring reliable transmission through unpredictable network conditions.
Data Source
AI summary
A video processing device receives video data and transmits the video to a display device at a new bit rate that is dynamically adjusted based on variable conditions. The new bit rate is adjusted, at least, by scaling the video and/or a residual image and may be adjusted utilizing compression functions, compression parameters, scale factor, frame rate, color space, and chroma sub-sampling. The display receives video at the adjusted new bit rate and decompresses the video in accordance with corresponding adjustments in the video processing device. Bit rate determination is based on variable operating conditions, display information, image quality, BER, packet error, SNR, desired level of compression, energy consumption, link congestion and display capabilities. Video may be scaled prior to compression. The video may comprise a frame and/or a slice. DPCM, H.264, AVC, transform compression and scaling may be utilized. The display may utilize intra-frame spatial prediction.