Video Encoding Skip Mode for Residual Data Optimization
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Solution Overview
Problem
The increasing resolution and quality of video data lead to higher transmission and storage costs, as existing video compression technologies are not efficient enough to manage the increased data amount effectively.
Innovation Solution
A video decoding method and apparatus that determine whether residual block information is present, using intra prediction values and selectively decoding reference pixel values to recover prediction object blocks, thereby optimizing encoding and decoding efficiency by only processing necessary information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video resolution and quality are increased, then video quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent extracts and transmits only the residual information (difference between actual and predicted pixel values) rather than transmitting complete video data. By separating the prediction component (which can be reconstructed at the decoder) from the residual component (which carries the actual information), the system reduces the quantity of data that needs to be transmitted and stored while maintaining video quality.
Solution Approach 2:
The patent changes the parameter representation by transforming video data into a prediction-residual form. Instead of transmitting raw pixel values, the system transmits prediction mode indicators and residual differences, fundamentally changing how video data is parameterized and transmitted to achieve compression.
2Measurement precision
If residual block information is always encoded, then decoding accuracy is improved, but encoding complexity and data amount increase
Solution Approach 1:
The patent applies partial action by selectively encoding residual block information only when necessary. The system determines whether to encode residuals based on prediction accuracy requirements, encoding residuals for some blocks while omitting them for others where prediction is sufficient, thus reducing overall encoding complexity and data amount while maintaining adequate decoding accuracy.
Solution Approach 2:
The patent introduces a parameter (residual encoding flag) that controls whether residual information is encoded for each block. This parameter change allows the system to adaptively adjust the level of detail encoded based on local image characteristics, balancing decoding accuracy with encoding complexity.
Data Source
AI summary
Disclosed are an image encoding method using a skip mode and a device using the method. The image encoding method may comprise the steps of: judging whether there is residual block data of a prediction target block on the basis of predetermined data indicating whether residual block data has been encoded; and, if there is residual block data, restoring the prediction target block on the basis of the residual block data and an intra-screen predictive value of the prediction target block. Consequently, encoding and decoding efficiency can be increased by carrying out the encoding and decoding of screen residual data only for prediction target blocks where there is a need for a residual data block in accordance with screen similarity.