Automatic Video Cropping for Better Composition and Framing
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Solution Overview
Problem
Amateur users often capture video content without regard to composition, framing, or camera movement, resulting in jarring or confusing content, and determining desirable cropping presentation imposes a cognitive burden and leads to inefficient power consumption.
Innovation Solution
Automate the processing and presentation of video content by implementing methods for automatic cropping on electronic devices, such as mobile phones and tablets, using touch-sensitive surfaces to enhance user interfaces and improve aesthetic appeal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If amateur users manually determine cropping presentation, then composition and framing can be optimized, but cognitive burden and time commitment increase substantially
Solution Approach 1:
The system performs automatic cropping analysis and determination without requiring user intervention. The electronic device autonomously analyzes video content, identifies subjects, determines optimal cropping presentations, and applies cropping automatically, allowing the system to serve itself rather than requiring manual user operation.
Solution Approach 2:
The patent replaces manual user judgment and cognitive processing with automated computational algorithms. Image recognition algorithms, subject detection systems, and automated cropping logic substitute for human visual analysis and decision-making, transforming a manual cognitive task into an automated computational process.
2Manufacturing precision
If manual cropping determination is performed, then video composition can be improved, but power consumption increases
Solution Approach 1:
The system performs cropping analysis and determination autonomously without requiring sustained user engagement or interaction. The electronic device independently executes the complete cropping workflow including video analysis, subject identification, cropping determination, and application, eliminating the need for continuous user processing and associated energy expenditure.
Solution Approach 2:
The system performs cropping analysis and determination in advance during video capture or playback, rather than requiring real-time user intervention. By pre-processing the video content and determining optimal cropping presentations before user viewing, the system eliminates the need for continuous power-intensive manual analysis during critical operations.
3Ease of operation
If automatic cropping is implemented, then cognitive burden is reduced, but device complexity increases
Solution Approach 1:
The patent extracts and isolates the complex cropping determination logic into separate automated processing modules and algorithms. By separating the cognitive-intensive analysis functions from the user interface and embedding them as independent computational components, the system manages complexity through modularization while maintaining ease of user operation.
Solution Approach 2:
The system introduces automated cropping algorithms and image recognition systems as intermediary processing layers between the user and the video content. These intermediary computational systems handle the complex analysis and decision-making, shielding the user from complexity while delivering refined cropping results.
4Ease of operation
If video content is captured without composition guidance, then ease of capture is maintained, but video quality becomes jarring or confusing
Solution Approach 1:
The system autonomously analyzes captured video content and automatically determines optimal cropping presentations without requiring user expertise or intervention. The electronic device independently performs subject identification, composition analysis, and cropping optimization, allowing users to capture video simply while maintaining high composition quality through self-service automation.
Solution Approach 2:
The patent replaces manual composition judgment with automated computational analysis. Image recognition algorithms and computer vision systems substitute for human compositional expertise, objectively analyzing video content and determining optimal framing and cropping based on detected subjects and scene characteristics rather than subjective user assessment.
Data Source
AI summary
Electronic devices are often equipped with a camera for capturing video content and/or a display for displaying video content. However, amateur users often capture video content without regard to composition, framing, or camera movement, resulting in video content that can be jarring or confusing to viewers. There is a need to automate the processing and presentation of video content in an aesthetically pleasing manner. The embodiments described herein provide a method of automatically cropping video content for presentation on a display.