VR Video Playback Control Using Attitude and Pattern Matching
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Solution Overview
Problem
Existing VR systems require users to set an initial direction for each chapter, which can be inconvenient and disrupt the immersive experience when switching between different VR video images.
Innovation Solution
An electronic apparatus that automatically determines the display range for VR video images by using attitude information and pattern-matching processing to align the viewing direction between frames, allowing seamless transitions without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user sets the initial direction for each chapter, then the display range can be accurately controlled, but the operation complexity increases and the immersive experience is disrupted
Solution Approach 1:
The system automatically determines the display range for each chapter by detecting common subjects between consecutive VR video images and calculating direction differences, eliminating the need for manual user input. The electronic apparatus serves itself by autonomously processing attitude information and performing pattern-matching to establish display parameters.
Solution Approach 2:
The system performs pattern-matching processing to detect common subjects and calculates direction differences in advance before playback begins. By pre-processing the attitude information and establishing the display range calculations beforehand, the system prepares the optimal display configuration without requiring real-time user intervention during playback.
2Measurement precision
If the user sets the initial direction for each chapter, then the playback control precision is improved, but the time consumption increases
Solution Approach 1:
The electronic apparatus automatically performs all necessary calculations for determining display ranges by processing attitude information and detecting common subjects between chapters. This self-service approach eliminates the time users would otherwise spend manually setting directions for each chapter.
Solution Approach 2:
The system performs pattern-matching and direction difference calculations in advance before playback starts. By pre-processing the attitude information and establishing display range parameters beforehand, the system eliminates time loss that would occur during manual configuration at the start of each chapter.
3Ease of operation
If automatic pattern-matching processing is performed between VR video images, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system uses attitude information as an intermediary element to bridge between different VR video images. By detecting common subjects through pattern-matching and using attitude data as a mediator, the system automatically determines display ranges without requiring complex direct analysis of all image parameters.
Solution Approach 2:
The patent replaces manual mechanical adjustment operations with automated computational processing. Instead of users physically or manually setting directions, the system uses algorithmic pattern-matching and mathematical calculations based on attitude information to automatically determine display parameters.
Data Source
AI summary
An electronic apparatus obtains attitude information about the electronic apparatus; controls playback of a VR video image such that a range of a part in each of frame images is displayed on a screen, the part being based on a direction corresponding to the attitude information; executes pattern-matching processing between a first and second VR video image and detecting a common subject; and performs control such that, when the second VR video image starts to be played back, a range of a part in a second frame image to be displayed first is displayed on the screen, the part being based on a difference of a direction corresponding to the attitude information from a direction of the common subject in the first frame image displayed when the playback of the first VR video image is ended and on a direction of the common subject in the second frame image.