Video Coding Redundancy Reduction via Tree Structure Analysis
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Solution Overview
Problem
Current video coding techniques contain redundancy, particularly in tree structure and bidirectional prediction methods, which inefficiencies lead to increased data transmission and reduced network capacity during video content delivery.
Innovation Solution
The proposed techniques reduce redundancy by analyzing attributes in tree structure video coding and disabling redundant modes in bidirectional prediction, determining whether data for the last node or mode should be sent based on preceding nodes or frames, thereby optimizing data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is sent for each node in the tree structure regardless of preceding nodes, then complete information is transmitted to the decoder, but redundant data transmission increases network bandwidth consumption
Solution Approach 1:
The patent extracts and removes redundant data from the transmission stream by analyzing the tree structure and identifying nodes whose data can be inferred from preceding nodes. Only non-redundant data is transmitted, eliminating unnecessary bandwidth consumption while preserving complete information through intelligent inference at the decoder side.
Solution Approach 2:
The encoder performs preliminary analysis of the tree structure before transmission to identify which node data is redundant based on preceding nodes. This preliminary action allows the system to pre-determine the minimal set of data required for accurate reconstruction, preventing redundant transmission before it occurs.
2Reliability
If all three prediction modes are transmitted regardless of reference frame content, then complete prediction information is provided to the decoder, but redundant mode data increases transmission overhead
Solution Approach 1:
The patent extracts only the necessary prediction mode information by analyzing the reference frame content. When reference frames indicate that certain prediction modes are redundant, those modes are excluded from transmission. The decoder uses the reference frame information to reconstruct the full set of prediction modes, maintaining completeness while reducing overhead.
Solution Approach 2:
The system dynamically changes the transmission parameters (which prediction modes are sent) based on the content of the reference frames. When reference frames make certain modes redundant, the transmission parameter set is modified to exclude those modes, optimizing the balance between information completeness and transmission efficiency.
3Productivity
If video content is encoded using motion-compensation-based schemes, then efficient video compression is achieved, but inherent redundancy in tree structure and bidirectional prediction reduces coding efficiency
Solution Approach 1:
The patent removes redundant information from the encoded video stream by analyzing the tree structure and bidirectional prediction modes. It extracts only the essential data required for accurate video reconstruction, eliminating redundant coefficients and prediction mode information while maintaining complete video quality through intelligent inference at the decoder.
Solution Approach 2:
The system dynamically adjusts encoding parameters based on the analysis of tree structure attributes and reference frame content. By changing which coefficients and prediction modes are transmitted based on their redundancy status, the system optimizes compression efficiency while preserving all necessary video information for accurate reconstruction.
Data Source
AI summary
Embodiments for reducing redundancy in video coding are disclosed. In accordance with at least one embodiment, video content is represented as a tree structure in which the nodes of the tree structure are associated with attributes of the video content. An encoder analyzes the nodes to determine whether there is redundancy associated with a last node of a divided node. In another embodiment, bidirectional prediction video coding techniques are applied to the video content. The encoder analyzes two lists of reference frames to determine whether a third mode of bidirectional prediction is redundant to a second mode of bidirectional prediction. The efficiency of video coding is improved by refraining from sending data symbols to the decoder in the event that the video coding techniques contain redundancy.