Adaptive Screenshot Capture for Static and Dynamic Content
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Solution Overview
Problem
Conventional screenshot capture techniques struggle with capturing dynamic content, leading to user frustration and inefficient use of system resources, as they often fail to capture changing visual features and require manual video recording instead.
Innovation Solution
The described techniques automatically determine the content type of displayed content as static or dynamic, allowing for the capture of screenshots tailored to the content type. For dynamic content, multiple candidate screenshots are captured over time to aggregate into a dynamic screenshot, while for static content, a single static screenshot is captured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional screenshot capture techniques are used, then the capture process is simple, but the ability to capture dynamic content is poor
Solution Approach 1:
The patent applies dynamics by making the screenshot capture process adaptive to content type. The system dynamically adjusts capture behavior based on whether content is static or dynamic, using motion detection algorithms to determine content characteristics and selectively applying different capture strategies (single frame vs. multiple frames) to match content properties
Solution Approach 2:
The patent changes the capture parameter (number of frames captured) based on content type detection. For static content, only one frame is captured, while for dynamic content, multiple frames are captured. This parameter adjustment resolves the contradiction by optimizing capture accuracy without unnecessarily increasing system complexity for all content types
2Reliability
If multiple screenshots are captured for dynamic content, then capture completeness is improved, but system resource usage increases
Solution Approach 1:
The patent applies local quality by treating static and dynamic content differently in the capture process. Instead of applying the same capture strategy uniformly to all content, the system detects content type locally and applies appropriate capture intensity (single frame for static, multiple frames for dynamic), optimizing resource usage while maintaining capture completeness
Solution Approach 2:
The patent changes the capture parameter (number of frames) based on detected content type. Motion detection algorithms determine whether content is dynamic and require multiple frames, or static and require only one frame. This conditional parameter adjustment ensures capture completeness for dynamic content while avoiding unnecessary resource consumption for static content
3Reliability
If manual video recording is used for dynamic content, then capture capability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies self-service by enabling the system to automatically detect content type and select appropriate capture mode without user intervention. The motion detection algorithm autonomously determines whether content is static or dynamic and adjusts capture behavior accordingly, eliminating the need for users to manually choose between screenshot and video recording modes
4Loss of energy
If conventional screenshot methods are used, then system resource usage is low, but capture effectiveness for dynamic content is poor
Solution Approach 1:
The patent changes the capture parameter (number of frames captured) based on content type detection through motion analysis. For static content, the system maintains low resource usage by capturing only one frame. For dynamic content, it increases capture effectiveness by capturing multiple frames. This conditional parameter adjustment resolves the contradiction between resource efficiency and capture effectiveness
Data Source
AI summary
Techniques for screenshot capture based on content type are described and are implementable to enable a screenshot of content displayed on a device to be captured based on a content type for the content. The described implementations, for instance, automatically determine a content type for content displayed on a device and capture a screenshot based on the content type, such as whether the content represents static content or dynamic content. Further, implementations enable a query to be utilized to determine whether to generate one or more of a static screenshot of visual content or a dynamic screenshot of visual content.