Omnidirectional Image Processing for Automatic 2D Video Replay
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Solution Overview
Problem
Existing image processing systems struggle with efficiently displaying and replaying omnidirectional images and videos, as they require manual scrolling to view all content, leading to user inconvenience and potential missed important scenes due to high burden and difficulty in navigating the 360-degree views.
Innovation Solution
An image processing system that automatically generates and replays two-dimensional videos from omnidirectional content, focusing on main photographic subjects by facial recognition and pattern matching, and arranges subjects based on distances and directions to enhance visibility and reduce user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual scrolling is used to view omnidirectional images, then all content can be viewed, but user burden and difficulty in navigating increase
Solution Approach 1:
The system automatically identifies main photographic subjects and generates appropriate two-dimensional video sequences without requiring user intervention. The image processing device autonomously performs subject detection, video generation, and playback control, making the system self-serve the user's viewing needs.
Solution Approach 2:
The system pre-processes omnidirectional images by detecting main photographic subjects and generating two-dimensional video sequences before playback. This preliminary action prepares the content in advance, eliminating the need for manual scrolling during actual viewing.
2Productivity
If manual scrolling is used to navigate omnidirectional images, then all content can be viewed, but time consumption increases
Solution Approach 1:
The system automatically generates and plays back two-dimensional video sequences featuring detected main subjects, eliminating the time users would spend manually scrolling through omnidirectional content. The automated subject detection and video generation significantly improves viewing efficiency.
3Ease of operation
If two-dimensional videos are generated from omnidirectional images, then main subjects are prioritized and visibility improved, but processing complexity increases
Solution Approach 1:
The system extracts main photographic subjects from omnidirectional images using facial recognition and pattern matching, then generates two-dimensional videos focused on these extracted subjects. This extraction process prioritizes important content while managing processing complexity through targeted subject detection.
4Ease of operation
If automated subject detection and video generation is implemented, then user interaction is reduced, but system complexity increases
Solution Approach 1:
The image processing device autonomously performs subject detection, video generation, and playback without requiring user interaction. The system serves itself by automatically processing omnidirectional images and delivering optimized two-dimensional video content, significantly reducing the need for manual user input.
Data Source
AI summary
An image processing device includes: an input unit, first image data being a portion of an image with first and second photographic subjects being imaged being inputted therein, the second subject to be displayed after the first, and the first subject again to be displayed by repeating control to shift a portion of the image displayed upon the display unit in a first direction and to display a portion not displayed; and an image generation unit generating, from the first image data, second image data including the first and second subjects, and the second subject is arranged towards the first direction from the first subject, if a first distance by which the image displayed shifts from the first subject being displayed until the second subject is displayed is longer than a second distance by which the image displayed shifts from the second subject until the first subject is displayed.