Bitrate Allocator for Video Data Multiplexing
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Solution Overview
Problem
Existing data transmission methods, such as constant bitrate encoding and variable bitrate encoding, fail to optimize bandwidth usage effectively for video streams, leading to inefficient use of transmission channels, especially when dealing with varying image complexities.
Innovation Solution
A system and method for multiplexing data and video streams in a transmission channel with a fixed bitrate, utilizing a bitrate allocator and controller that adjusts data bitrate requests based on memory occupancy, delay, and video stream bitrates to ensure efficient use of bandwidth, allowing for deterministic and opportunistic data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If constant bitrate encoding (CBR) is used, then the bitrate is stable and predictable, but the bandwidth usage is inefficient for images of low complexities
Solution Approach 1:
The system dynamically adjusts the bitrate allocation between video streams and data based on real-time conditions. The statistical multiplexer monitors the complexity of video content and the arrival rate of data, then dynamically modifies the bitrate assigned to each stream, allowing the system to transition from static CBR to adaptive bitrate allocation that optimizes bandwidth utilization while maintaining stability.
Solution Approach 2:
The invention changes the bitrate parameter dynamically based on video complexity and data arrival patterns. By monitoring metrics such as scene complexity, motion activity, and data queue depth, the system adjusts the bitrate parameter in real-time, allowing efficient bandwidth usage for low-complexity content while ensuring sufficient capacity for high-complexity scenes and data transmission requirements.
2Productivity
If variable bitrate encoding (VBR) is used, then the bandwidth usage is optimized, but the bitrate becomes unpredictable
Solution Approach 1:
The statistical multiplexer implements feedback mechanisms that continuously monitor video stream characteristics and data arrival rates. This feedback information is used to adjust bitrate allocation dynamically, creating a closed-loop control system that optimizes bandwidth utilization while maintaining predictable overall bitrate behavior through coordinated adjustment of multiple streams.
Solution Approach 2:
The system merges multiple video streams and data streams into a single multiplexed output, combining their bitrate demands. By aggregating multiple VBR streams, the system achieves more predictable overall bitrate behavior while maintaining individual stream optimization, as the variations in one stream can be compensated by other streams.
3Productivity
If statistical multiplexing is applied to multiple video streams, then bandwidth allocation is optimized, but the system complexity increases
Solution Approach 1:
The statistical multiplexer divides the bitrate allocation task into separate modules for each video stream and data stream. Each stream is processed independently with its own complexity assessment and bitrate demand calculation, allowing the system to manage multiple streams efficiently without requiring a monolithic complex processing architecture.
Solution Approach 2:
Each video stream and data stream effectively serves itself by providing information about its complexity and bitrate demands to the multiplexer. The streams self-report their requirements, and the multiplexer automatically allocates bandwidth based on this information, reducing the need for complex external control mechanisms.
4Productivity
If data is multiplexed with video streams, then the channel capacity is fully utilized, but data transmission delays may increase
Solution Approach 1:
The system performs preliminary assessment of data importance and video stream characteristics before multiplexing. By pre-classifying data packets according to their urgency and pre-evaluating video stream buffer states, the multiplexer can make rapid allocation decisions that prioritize time-sensitive data while maintaining efficient channel utilization.
Solution Approach 2:
The multiplexer applies different quality of service treatments to different data packets based on their local characteristics. High-priority data receives preferential treatment with lower delays, while less critical data can tolerate higher delays. This localized quality differentiation allows full channel utilization without uniformly increasing delays for all data.
Data Source
AI summary
System and method for multiplexing data Di and one or more streams containing video data Dvideo in a transmission channel with fixed bitrate comprising a multiplexer (11) and its controller (112), the multiplexer (11) comprising one to n inputs (11v) receiving the stream or streams Dvideo, a bitrate allocator (12), the multiplexer (11) comprises an input (11d) for the data Di to be multiplexed, and the said system comprises at least the following elements: a memory (20) receiving the data to be multiplexed with the stream or streams Dvideo, a bitrate estimator (21) which transmits a bitrate request Rd to the bitrate allocator (12), the bitrate request Rd is transmitted to the controller (112) of the multiplexer and delayed, the controller (112) is suitable for reading from the memory (20) the data Di to be multiplexed, up to compliance with the bitrate request Rd.