Error Correction Matrix Sizing for Variable-Rate Multimedia Streams
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Solution Overview
Problem
Existing error correction methods for multimedia data streams at non-constant bitrates are inefficient, leading to increased processing times and reduced quality of service due to undersized or oversized correction matrices, which cannot effectively regenerate lost packets during transmission.
Innovation Solution
A method that dynamically sizes the error correction matrix based on the maximum input rate of multimedia data packets, ensuring a fixed size matrix that can process all packets, with multimedia data packets stored at regular intervals and empty locations represented, allowing for efficient error correction even with varying bitrates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed-size correction matrix is used for non-constant bitrate streams, then the matrix dimensions are determined by average rate, but the matrix becomes either undersized or oversized relative to the actual rate, reducing correction effectiveness
Solution Approach 1:
The patent applies dynamics by making the correction matrix dimensions variable rather than fixed. The matrix is resized dynamically based on the actual bitrate of the multimedia stream being processed. This allows the system to adapt to non-constant bitrate streams by adjusting the matrix size to match the current data rate, thereby maintaining optimal error correction effectiveness across varying transmission conditions.
Solution Approach 2:
The patent changes the parameter of matrix dimensions from a fixed value to a variable that depends on the actual bitrate. By monitoring the bitrate of the multimedia stream and adjusting the correction matrix size accordingly, the system optimizes the number of correction packets generated, ensuring effective error correction while adapting to rate fluctuations.
2Reliability
If the correction matrix size is increased to handle maximum rate, then all packets can be processed, but the processing time and latency increase
Solution Approach 1:
The system dynamically adjusts the correction matrix size based on the actual bitrate of the incoming stream. When the bitrate is low, a smaller matrix is used, reducing processing time and latency. When the bitrate increases, the matrix size expands to handle the higher packet rate. This dynamic adjustment ensures that the system processes only the necessary number of packets at any given moment, optimizing both completeness and speed.
Solution Approach 2:
Instead of always using a matrix sized for the maximum possible bitrate, the system uses a matrix sized appropriately for the current bitrate. This partial action approach avoids the excessive processing overhead that would result from always allocating resources for the maximum rate, thereby reducing latency while still ensuring all current packets are processed correctly.
3Loss of time
If the correction matrix size is decreased to reduce processing time, then latency is reduced, but the matrix becomes undersized and cannot correct all lost packets
Solution Approach 1:
The correction matrix size is made dynamic, expanding when the bitrate increases to maintain adequate correction capability, and contracting when the bitrate decreases to reduce latency. This ensures the matrix is always appropriately sized for the current stream conditions, balancing processing speed with reconstruction capability.
4Ease of manufacture
If a fixed overhead is reserved for correction packets, then bandwidth allocation is simplified, but the overhead becomes inefficient when the actual rate differs from the average rate
Solution Approach 1:
The overhead allocated for correction packets is made dynamic rather than fixed. The system adjusts the number and size of correction packets based on the actual bitrate of the multimedia stream. When the stream rate is high, more correction packets are generated and transmitted; when the rate is low, fewer correction packets are sent. This dynamic overhead allocation optimizes bandwidth utilization efficiency while adapting to varying transmission conditions.
Data Source
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AI summary
The present invention relates to a method for creating a correction matrix for errors in transmitting multimedia data packets at non-constant rate between a sender terminal and at least one receiver terminal, said multimedia data packets constituting elements of said correction matrix. Such a method of creating a correction matrix is particular in that the correction matrix has dimensions which are determined as a function of a maximum rate of said multimedia data packets at the input of said sender terminal, and in that said multimedia data packets are arrayed in the correction matrix at regular time intervals, an absence of a multimedia data packet noted for a given time interval being represented in said correction matrix by a void.