Automatic Video Region Scaling for Wireless Streaming
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Solution Overview
Problem
Existing wireless streaming technologies fail to automatically scale the active video region to full screen, leaving users to view unwanted background images alongside the video content.
Innovation Solution
A method is developed to detect the active video region by analyzing the rate of change between frames, using accumulated difference data, edge detection, and corner matching to identify the region of interest, which is then scaled to fit the full display area while maintaining the correct aspect ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless streaming technologies stream video content with background images to display devices, then the complete video content is transmitted, but the user views unwanted background images alongside the video content
Solution Approach 1:
The system performs preliminary actions by detecting the active video region and calculating scaling parameters before the actual display. The processor identifies the region of interest in the video content and pre-computes the scaling transformation, so that when the video is displayed, the active region is automatically scaled to full screen without requiring real-time user intervention or complex runtime processing.
Solution Approach 2:
The invention extracts the active video region from the complete video content by analyzing frame differences and identifying the region of interest. This extracted region is then separately processed and scaled, separating the useful video content from the unwanted background images, allowing selective display of only the relevant portion.
2Productivity
If the active video region is scaled to full screen, then users view only the video content, but the aspect ratio must be maintained
Solution Approach 1:
The system changes the display parameters by calculating specific scaling factors based on the detected active video region and the display device characteristics. The processor determines the appropriate zoom factor and positioning coordinates that maintain the original aspect ratio while filling the screen, transforming the video from its original dimensions to an optimized full-screen display configuration.
3Ease of operation
If manual selection of video region is required, then precise control is achieved, but user convenience is reduced
Solution Approach 1:
The system performs self-service by automatically detecting the active video region and configuring the optimal display parameters without user input. The processor analyzes the video content, identifies the region of interest through frame difference analysis, and autonomously determines the scaling transformation, making the system self-configuring and eliminating the need for manual region selection.
Solution Approach 2:
The invention implements feedback mechanisms by continuously analyzing video frames and adjusting the region detection based on accumulated difference data. The system uses feedback from frame-to-frame comparisons to refine the active region identification, ensuring accurate detection even when the video content has varying characteristics, and automatically adapts to different video formats and styles.
Data Source
AI summary
A method of identifying and scaling a region of interest on a display device is presented. The region of interest is detected based on the rate of change between frames. A size of the display area of the display device and aspect ratio are determined. The detected region of interest is scaled to fit the display area in full screen mode based on the display area and the aspect ratio. The region of interest may be, for example, an active video region. In full screen mode, any static or slow-moving images are hidden.