Video Processing Apparatus Automatic Zoom Control
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Solution Overview
Problem
Conventional video processing apparatuses require manual user selection for zooming in on video images, which can be inconvenient, especially for dynamic scenes with small objects and rapid motion, as users may struggle to properly select the region to zoom in on.
Innovation Solution
A video processing apparatus and method that automatically zooms in on a part of a video image based on zoom-in information included in the broadcasting signal, which may contain regional, ratio, and time information, allowing for automatic or user-activated zooming to enhance visibility of small objects in dynamic scenes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user selection is used for zooming in on video images, then the zoom-in function can be implemented, but the ease of operation deteriorates especially for dynamic scenes with small objects and rapid motion
Solution Approach 1:
The video processing apparatus automatically identifies and zooms in on objects of interest without requiring manual user selection. The system uses object detection algorithms to autonomously determine which regions to magnify, allowing the device to serve itself rather than requiring continuous user input for region selection.
Solution Approach 2:
The system pre-processes video frames to detect objects of interest before the user needs to view or interact with them. By performing object detection and region identification in advance, the system prepares zoom regions proactively, eliminating the need for users to manually select regions in real-time during dynamic scenes.
2Extent of automation
If automatic zoom-in based on broadcasting signal information is implemented, then the extent of automation improves, but the device complexity increases
Solution Approach 1:
The video processing apparatus integrates multiple functions including object detection, region identification, zoom calculation, and video processing within a single unified system. The controller performs diverse tasks such as detecting objects, determining their positions, calculating zoom regions, and controlling the video processor, eliminating the need for separate dedicated components for each function.
Solution Approach 2:
The system combines object detection algorithms, region analysis, and zoom control logic into an integrated processing pipeline. The controller merges multiple processing steps (detecting objects, identifying regions of interest, calculating zoom parameters, and executing zoom operations) into a unified automatic zoom-in function, reducing overall system complexity despite increased automation.
3Productivity
If manual region selection is required, then the manufacturing precision of zoom region selection can be controlled by user expertise, but the productivity deteriorates due to time-consuming selection process
Solution Approach 1:
The system replaces manual user interaction (mechanical selection process) with automated computer vision algorithms. Instead of requiring users to manually select and specify regions, the system uses image processing and object detection algorithms to automatically identify and select regions of interest, dramatically reducing the time required for region selection in dynamic video scenes.
Data Source
AI summary
Provided are a video processing apparatus and a video processing method thereof. The video processing apparatus includes: an input unit which receives a broadcasting signal which may include zoom-in information having regional information on a part of a video image; a video processor which processes the inputted broadcasting signal; and a controller which controls the video processor to zoom in the part of the video image based on the regional information of the zoom-in information if the broadcasting signal includes the zoom-in information.