Multi-Viewpoint Image Encoding and Data Association
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Solution Overview
Problem
Current services using multi-viewpoint images lack convenience in processing and utilization, particularly in associating and managing the necessary data such as depth data, calibration information, and imaging parameters.
Innovation Solution
An image processing apparatus and method that encodes multi-viewpoint image data and associates sequence information, eye number information, depth data, calibration information, and imaging parameters to enhance the convenience of multi-viewpoint image services, including generating files in formats like EXIF or MP4 for storage and transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multi-viewpoint image data is encoded and associated with sequence information, eye number information, depth data, calibration information, and imaging parameters, then the convenience of multi-viewpoint image services is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple types of data (multi-viewpoint image data, sequence information, eye number information, depth data, calibration information, and imaging parameters) into a single integrated data structure. This merging approach improves service convenience by providing all necessary information in one package, while the systematic organization mitigates the complexity increase through structured data management.
Solution Approach 2:
The encoded multi-viewpoint image data structure is designed to serve multiple functions simultaneously: it stores visual information, depth information, calibration data, and imaging parameters. This multi-functionality improves service convenience by eliminating the need for separate data structures, while the universal format helps manage complexity through standardized data organization.
2Productivity
If multiple types of data are associated together in a unified structure, then data utilization efficiency is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent segments the unified data structure into distinct components (image data, sequence information, eye number information, depth data, calibration information, and imaging parameters). This segmentation improves data utilization efficiency by allowing selective access and processing of individual data types, while the clear structural boundaries reduce the difficulty of detecting and measuring specific data elements.
Solution Approach 2:
The patent organizes multiple data types in a multi-dimensional structure where each data type occupies a specific dimension or layer. This dimensional organization improves utilization efficiency by enabling targeted data retrieval, while the structured arrangement makes detection and measurement more systematic rather than overwhelming.
Data Source
AI summary
The present disclosure relates to an image processing apparatus and method which can improve convenience of a service using a multi-viewpoint image. An image processing apparatus includes an encoding unit which encodes multi-viewpoint image data which is data of a multi-viewpoint image composed of a plurality of images with mutually different viewpoints, and an association processing unit which associates sequence information showing a relative position relationship of each viewpoint of the multi-viewpoint image, and eye number information showing a number of viewpoints of the multi-viewpoint image, with multi-viewpoint image encoding data in which the multi-viewpoint image data has been encoded by the encoding unit.