Bitstream Interruption Handling via Context Switching
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Solution Overview
Problem
Existing image and video decoding technologies face difficulties in handling interruptions in compressed bitstreams, leading to incomplete data streams and challenges in resuming the decoding process effectively.
Innovation Solution
A data stream accessor compatible with context switching is implemented, allowing the decoder to pause and resume decoding by storing and restoring execution contexts, enabling seamless handling of interruptions and partial data streams without affecting the decoder's operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the decoder waits for complete bitstream data before decoding, then decoding accuracy is improved, but decoding speed and responsiveness deteriorate
Solution Approach 1:
The decoder performs preliminary decoding operations on available data portions before receiving complete bitstream data. The execution context is saved and restored to continue decoding later, allowing partial decoding to proceed in advance rather than waiting for complete data arrival.
Solution Approach 2:
The bitstream is divided into decodable portions that can be processed independently. The decoder processes available segments separately, saving execution context between segments, rather than requiring the entire bitstream to be available before starting decoding.
2Adaptability or versatility
If the decoder handles bitstream interruptions frequently, then adaptability to network conditions is improved, but system complexity increases
Solution Approach 1:
An execution context saving/restoring mechanism acts as an intermediary between the decoder and interruptions. This intermediary layer handles the complexity of state management, allowing the decoder to pause and resume without requiring complex interruption handling logic throughout the decoding pipeline.
Solution Approach 2:
The decoder automatically saves and restores its own execution context without external intervention. The system self-manages the pausing and resuming of decoding operations, reducing the need for external control mechanisms and simplifying the overall system architecture.
3Productivity
If the decoder processes data continuously without pausing, then productivity is improved, but reliability during interruptions deteriorates
Solution Approach 1:
The decoding process dynamically adjusts between continuous operation and pausing based on data availability. The decoder transitions smoothly between processing states and idle states, maintaining high productivity when data is available while reliably handling interruptions when data arrives intermittently.
Solution Approach 2:
The decoder maintains continuous useful action by processing available data portions immediately rather than waiting. Execution context is preserved to enable seamless continuation, ensuring that decoding productivity is maximized during data availability while maintaining reliability during interruptions.
Data Source
AI summary
A data stream accessor seeks to simulate an uninterrupted bitstream for a decoder during network interruptions. The accessor performs a set of operations including receiving an available amount of image data and storing a current execution context of the call site, passing execution flow to the decoder, and performing a subset of operations. The subset includes receiving an indication of a desired amount of image data from the decoder. If a total amount of image data at the accessor is greater than or equal to the desired amount, the desired amount is transmitted to the decoder for decoding. Otherwise, and unless an error issues, a current execution context of the decoder is stored, execution flow is passed from the decoder to the call site, and the restorable execution context is loaded as the current execution context of the call site. The subset is repeated unless the image is completely decoded.