Information Processing Device Using Child-Space Encoding to Reduce Code Amount
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Solution Overview
Problem
Existing audio encoding methods for free viewpoint systems require excessive code amounts due to encoding position information for the entire space, even when objects are concentrated in specific regions, leading to inefficiencies.
Innovation Solution
The method involves converting position information from a parent space to a child space, quantizing it, and performing inverse scaling conversion to reduce the code amount, allowing selective reception and reproduction of desired child spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If position information of objects is encoded for the entire space, then the position information can cover all possible regions, but the code amount increases due to encoding empty regions where no objects exist
Solution Approach 1:
The entire space is divided into multiple child spaces based on object concentration regions. Instead of encoding position information for the whole space uniformly, the system segments the space and encodes only the relevant child spaces where objects actually exist, thereby reducing the code amount while maintaining position information coverage.
Solution Approach 2:
Different child spaces are created with different encoding parameters according to local object distribution characteristics. Regions with high object concentration receive higher encoding precision, while empty regions are excluded or given lower precision, optimizing the balance between position information accuracy and code amount.
2Reliability
If the entire space is encoded with uniform precision, then all regions are covered equally, but unnecessary code is transmitted for regions without objects
Solution Approach 1:
The encoding precision is made dynamic and adaptive to the actual object distribution. Child spaces are dynamically selected and encoded based on where objects are present, allowing the system to adjust the encoding scope and precision according to the specific scene, thereby maintaining reliability while reducing transmitted code amount.
Solution Approach 2:
Instead of encoding the entire space uniformly, the system applies encoding only to partial regions (child spaces) where objects are located. This partial action approach encodes exactly what is needed without the excessive action of encoding empty regions, reducing the transmitted code amount while preserving position information accuracy for relevant objects.
Data Source
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AI summary
The present technology relates to an information processing device and method, and a program capable of reducing a code amount. The information processing device includes: an acquisition unit that acquires space information regarding a position and a size of a child space within a parent space and position information in the child space indicating a position of an object within the child space, the child space being included in the parent space, and the object being included in the child space; and a calculation unit that calculates position information in the parent space indicating a position of the object within the parent space on the basis of the space information and the position information in the child space. The present technology can be applied to a signal processing device.