Multi-View Codec Parameter Reuse for Higher Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in handling multi-view signals lies in the vast amount of data required to convey information on multiple views, especially when intermediate views are needed, which is exacerbated by supplementary data such as depth/disparity maps, necessitating improved compression rates.
Innovation Solution
A decoder reconstructs views from a data stream by predicting current portions from previously reconstructed portions using first coding parameters and correcting prediction errors with correction data, while an encoder encodes views by determining coding parameters and inserting correction data into the stream, exploiting similarities between views to enhance compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If multi-view signals are compressed using conventional coding methods, then the data transmission efficiency is improved, but the compression rate is insufficient due to the huge amount of data required to convey information on multiple views
Solution Approach 1:
The multi-view signal is divided into multiple views (first view, second view, etc.), each with its own coding parameters. The encoder processes each view separately but exploits correlations between views through parameter reuse, segmenting the coding process while maintaining inter-view relationships for compression efficiency.
Solution Approach 2:
The invention reuses coding parameters from the first view when encoding the second view. Instead of determining all coding parameters independently for each view, the encoder adopts or predicts parameters from previously encoded views, changing the approach from independent parameter determination to parameter reuse and prediction, thereby improving compression rate.
2Adaptability or versatility
If intermediate views are extracted with supplementary depth/disparity map data, then the view synthesis capability is improved, but the data amount increases significantly requiring higher compression rates
Solution Approach 1:
The encoder performs preliminary encoding of the first view and determines its coding parameters before encoding the second view. This preliminary action allows the second view encoding to benefit from reused parameters, reducing the overall data amount while maintaining the capability to synthesize intermediate views with depth/disparity information.
Solution Approach 2:
The invention changes the coding parameter determination approach by adopting parameters from the first view for the second view. This parameter reuse significantly reduces the data amount required to convey multi-view information while preserving the adaptability needed for intermediate view extraction and synthesis.
3Manufacturing precision
If coding parameters are determined independently for each view, then the encoding accuracy is maintained, but the compression rate decreases due to redundant parameter data
Solution Approach 1:
The encoder copies coding parameters from the first view to the second view instead of determining them independently. This copying approach maintains encoding accuracy by using proven parameters while significantly reducing the compression rate by eliminating redundant parameter data. The decoder reconstructs parameters by adopting them from the first view, ensuring accurate reconstruction.
4Measurement precision
If all coding parameters are transmitted in the data stream, then the decoding accuracy is improved, but the transmission efficiency decreases due to the huge amount of data
Solution Approach 1:
The invention extracts only the necessary correction data from the full set of coding parameters and transmits only this essential information in the data stream. The decoder takes out the needed parameters by adopting them from the first view and uses the transmitted correction data to refine them, achieving decoding accuracy without transmitting all original parameters, thus improving transmission efficiency.
Solution Approach 2:
The invention changes the transmission approach by not transmitting all coding parameters but instead transmitting only correction data. The decoder reconstructs full parameters by adopting them from the first view and applying corrections, maintaining decoding accuracy while dramatically improving transmission efficiency by reducing the data volume.
Data Source
AI summary
Findings are described according to which a higher compression rate or better rate/distortion ratio may be achieved by adopting or predicting second coding parameters used for encoding a second view of the multi-view signal from first coding parameters used in encoding a first view of the multi-view signal. In other words, redundancies between views of a multi-view signal may not be restricted to the views themselves, such as the video information thereof, but that the coding parameters in parallelly encoding these views show similarities which may be exploited in order to further improve the coding rate.