Input Data Segmentation for Quality-Preserving View Synthesis
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Solution Overview
Problem
Existing view synthesis methods require a large quantity of data from multiple camera views, posing a complexity problem, especially in mobile terminals, and there is a need to reduce data transmission while preserving synthesis quality.
Innovation Solution
A method for segmenting input data using weight values determined by a criterion for optimizing processing quality and quantity, where segmentation information assigns values to data indicating which data to keep or discard, allowing only useful data to be processed and transmitted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all views acquired by cameras are used for view synthesis, then synthesis quality is improved, but data quantity and processing complexity increase significantly
Solution Approach 1:
The patent segments the input data by determining segmentation information for each data item that assigns a first or second value, creating a segmented dataset that retains only essential information. This segmentation is performed before coding and transmission, reducing data quantity while preserving synthesis quality.
Solution Approach 2:
The patent extracts and removes redundant data from the plurality of input data by applying segmentation information, keeping only the subset of data that is necessary for high-quality view synthesis. This extraction process eliminates unnecessary data transmission while maintaining synthesis performance.
2Measurement precision
If all views acquired by cameras are transmitted and processed, then synthesis quality is improved, but device complexity increases especially in mobile terminals
Solution Approach 1:
The patent applies segmentation to divide the processing task into essential and non-essential parts, transmitting only the segmented essential data to mobile terminals. This reduces the processing burden on devices while maintaining synthesis quality.
Solution Approach 2:
The patent performs data segmentation and filtering in advance (preliminary action) before transmission to the mobile terminal. This preprocessing reduces the complexity of operations required at the mobile device, as the data has already been optimized for efficient processing.
3Reliability
If redundant data is transmitted, then data completeness is improved, but transmission efficiency and processing speed decrease
Solution Approach 1:
The patent extracts and removes redundant data through segmentation, transmitting only the essential subset of data. This extraction maintains data completeness for synthesis purposes while significantly improving transmission efficiency by eliminating unnecessary data.
Solution Approach 2:
The patent changes the parameter of data representation by applying segmentation information that assigns values to indicate essential versus redundant data. This parameter change enables selective transmission of only necessary data, improving efficiency without compromising synthesis reliability.
Data Source
AI summary
A method for segmenting a plurality of input data. The method includes: determining weight values to be applied to the plurality of input data before it is processed by at least one processing device configured to produce a processing result according to a criterion for optimizing a quality of the processing result, depending on the criterion and on a criterion for optimizing a quantity of input data to be processed; determining segmentation information of the plurality of input data, assigned a first value or a second value, depending on the weights; and obtaining a subset of data to be processed by applying the segmentation information to the plurality of input data, including the data of the plurality of input data associated with an item of segmentation information equal to the first value.