Decoder-Aware Video Encoding for Complexity-Constrained Playback
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Solution Overview
Problem
Current data encoding methods do not consider the dynamic state of decoders, leading to potential decoding performance degradation and compromised playback quality if the decoding resources are insufficient.
Innovation Solution
Encoding data based on knowledge of the target decoder's current, past, and predicted states, using customized encoding schemes that match the available decoding resources and complexity constraints to optimize decoding performance and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If encoding schemes are selected without considering decoder state, then encoding complexity is reduced and processing speed is improved, but decoding performance degrades and playback quality is compromised
Solution Approach 1:
The encoder performs preliminary actions by predicting the future state of the decoder before encoding each frame. The system simulates decoder behavior in advance to estimate buffer occupancy and processing load, then uses this prediction to select appropriate encoding schemes that ensure successful decoding while maintaining efficiency.
Solution Approach 2:
The system implements feedback by using the predicted decoder state to adjust encoding decisions. The encoder continuously monitors simulated decoder buffer occupancy and processing load, then feeds this information back into the encoding scheme selection process to dynamically adapt to decoder capabilities and prevent buffer overflow or underflow conditions.
2Ease of manufacture
If minimum decoder requirements are specified, then device complexity is reduced and ease of manufacture is improved, but adaptability to different decoder capabilities is limited
Solution Approach 1:
The system transitions from static minimum requirements to dynamic adaptation. The encoder dynamically adjusts its behavior based on real-time predictions of decoder state, allowing the same encoding system to adapt to various decoder capabilities without requiring different hardware implementations. This enables graceful degradation and optimized performance across diverse decoder platforms.
Solution Approach 2:
The system changes encoding parameters dynamically based on predicted decoder state. By adjusting encoding complexity, bitrate, and tool selection according to the simulated decoder buffer occupancy and processing load, the system achieves adaptability across different decoder capabilities while maintaining a single, relatively simple decoder implementation.
3Manufacturing precision
If encoding complexity is increased to match decoder capabilities, then decoding quality is improved, but encoding processing time increases
Solution Approach 1:
The encoder performs preliminary simulation of decoder behavior to determine the optimal encoding complexity level before actual encoding. By predicting how the decoder will handle different encoding schemes and estimating buffer occupancy in advance, the system identifies the highest quality encoding that can be successfully decoded within acceptable processing time, avoiding unnecessary complexity.
Solution Approach 2:
The system applies partial encoding complexity based on predicted decoder capabilities. Rather than always using maximum complexity encoding, the system selectively applies higher complexity only when the predicted decoder state indicates sufficient buffer occupancy and processing capacity, thereby achieving high quality output without consistently incurring maximum encoding processing time.
Data Source
AI summary
Techniques for encoding data based at least in part upon an awareness of the decoding complexity of the encoded data and the ability of a target decoder to decode the encoded data are disclosed. In some embodiments, a set of data is encoded based at least in part upon a state of a target decoder to which the encoded set of data is to be provided. In some embodiments, a set of data is encoded based at least in part upon the states of multiple decoders to which the encoded set of data is to be provided.