Dynamic Video Cropping With Real-Time Pan, Zoom, And Tilt
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video editing tools require laborious manual input for dynamic cropping, making it inaccessible to the general public and inefficient for skilled users.
Innovation Solution
A system and method for dynamically cropping video frames using user-friendly tools that allow real-time manipulation of cropping parameters, such as size, position, and tilt, enabling the creation of new videos through user interaction during playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input methods are used for dynamic cropping, then cropping precision can be achieved, but the operation becomes laborious and inaccessible to general users
Solution Approach 1:
The system automatically tracks and crops video content based on detected objects or scenes without requiring manual frame-by-frame input from the user. The cropping window dynamically adjusts itself according to the detected important elements in the video, making the process self-service and eliminating laborious manual operations while maintaining precision through automated object detection and tracking algorithms
Solution Approach 2:
The patent replaces manual mechanical interaction (dragging, adjusting cropping windows frame by frame) with automated computational methods. Object detection algorithms and computer vision techniques substitute for manual user input, automatically determining optimal crop regions based on detected objects, scenes, or content importance, thereby achieving precision without manual labor
2Adaptability or versatility
If sophisticated dynamic crop functionality is provided, then cropping flexibility is improved, but the complexity of operation increases significantly
Solution Approach 1:
The system automatically adapts cropping parameters based on detected content without requiring users to understand or configure complex settings. It self-adjusts crop windows, tracking durations, and transition smoothness based on detected objects and scenes, providing sophisticated flexibility while keeping the interface simple and accessible to general users
Solution Approach 2:
The patent dynamically changes cropping parameters (position, size, orientation) based on detected objects and scenes rather than requiring manual configuration. The system automatically adjusts these parameters in response to content changes, providing adaptability and flexibility through automated parameter optimization rather than complex user controls
3Ease of operation
If static cropping parameters are used, then the process is simple to operate, but time consumption increases for dynamic video content
Solution Approach 1:
The system transitions from static cropping windows to dynamic cropping windows that automatically track and follow detected objects or scenes throughout the video. The crop parameters change dynamically based on object motion and scene transitions, maintaining operational simplicity while dramatically reducing time consumption for processing dynamic video content
Solution Approach 2:
The system performs preliminary object detection and tracking to pre-determine the optimal cropping trajectory before final video rendering. By detecting objects and planning their tracking paths in advance, the system prepares dynamic crop parameters proactively, reducing real-time processing time while maintaining simplicity through automated preliminary analysis
Data Source
AI summary
A method and system for dynamically cropping a video image is disclosed. A user initiates the process by creating parameters for a cropping window, selecting, for example, size, zoom and tilt, and then maneuvering the cropping window, dynamically during playback of the video, on the screen showing the video playback. The movements of the cropping window during playback are controlled dynamically on screen via user manipulation of the crop window position vis-à-vis the background video playback. A new recording is created from the image(s) contained within the maneuvered crop window. This newly created video, from within the original video, can be saved, shared, discarded, or further edited.