Unified Error Concealment Framework for Multimedia Data
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Solution Overview
Problem
Current error concealment methods for multimedia data in wireless communication systems are inadequate as they lack a unified framework to dynamically select the most suitable error recovery scheme based on error distribution, leading to inconsistent video quality due to error propagation in compressed data.
Innovation Solution
A method and apparatus that obtain error distribution information to dynamically select and apply one of multiple error recovery schemes, such as spatial, temporal, or frame rate upconversion, based on the specific error conditions of the multimedia data, including whether the data is uniformly or non-uniformly coded, channel switch detection, and presence of new objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed error concealment scheme is used, then the implementation is simple, but the video quality is inconsistent due to inability to adapt to different error conditions
Solution Approach 1:
The patent implements dynamic selection of error concealment schemes based on real-time error distribution analysis. The system transitions from static to dynamic operation by evaluating error patterns and adapting the concealment strategy accordingly, resolving the contradiction between adaptability and complexity through intelligent control
Solution Approach 2:
The system changes operational parameters by selecting different error concealment schemes (intra-frame, inter-frame, frame rate upconversion) based on error distribution characteristics. This parameter adaptation allows the system to optimize video quality for different error conditions while maintaining a unified framework
2Reliability
If multiple error recovery schemes are applied, then the video quality improvement is enhanced, but the selection complexity increases
Solution Approach 1:
The patent employs feedback mechanisms where error distribution information is continuously analyzed to guide scheme selection. The system uses feedback from error detection and distribution analysis to dynamically adjust the concealment strategy, improving video quality consistency while managing selection complexity through data-driven decisions
Solution Approach 2:
The error concealment framework is segmented into multiple specialized schemes (intra-frame error concealment, inter-frame error concealment, frame rate upconversion). Each scheme handles specific error patterns, allowing the system to divide the complex task of error recovery into manageable, targeted operations
3Manufacturing precision
If error distribution information is obtained and analyzed, then the appropriate error recovery scheme can be selected, but the processing time increases
Solution Approach 1:
The system performs preliminary error distribution analysis and scheme selection before actual error concealment operations. By preparing the error distribution information and determining the appropriate scheme in advance, the system optimizes the overall processing efficiency and reduces time delays in the error recovery process
Data Source
AI summary
A method and apparatus of processing multimedia data that includes a first section received in error are disclosed. Error distribution information corresponding to the first section may be obtained. One of a plurality of error recovery schemes may be selected based on the error distribution information for the first section. The selection may be based at least on whether a channel switch is detected. The first section may be processed based on the selected error recovery scheme.