Adaptive Inset Window Placement in Slide Presentations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in automatically finding an ideal placement for inset windows in electronic devices, which often requires significant manual manipulation to avoid salient regions of the primary content.
Innovation Solution
The implementation of adaptive inset windows that automatically identify non-salient regions within the primary content by detecting salient regions of objects, allowing the adaptive inset window to adjust its size, shape, position, and content based on these regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If supplemental content is provided in an inset window, then additional information can be displayed simultaneously with primary content, but the inset window may overlap salient regions of the primary content causing visual conflicts and reduced usability
Solution Approach 1:
The system performs preliminary detection of salient regions in the primary content before placing the inset window. By identifying and mapping salient regions in advance, the system can proactively position the inset window in non-salient areas, preventing visual conflicts before they occur rather than reacting after conflicts arise.
Solution Approach 2:
The system introduces an intermediary layer of analysis between the primary content and the inset window placement decision. This intermediary involves detecting salient regions, mapping them to spatial coordinates, and using this information as a constraint layer that mediates the placement algorithm to ensure the inset window avoids overlapping important content areas.
2Ease of operation
If manual manipulation is used to find ideal inset window placement, then the placement can be optimized for the specific content, but significant time and effort are required from the user
Solution Approach 1:
The system enables self-service by automatically performing the salient region detection and inset window placement optimization without requiring user intervention. The system serves itself by using computer vision and machine learning models to autonomously analyze the primary content, identify appropriate placement zones, and position the inset window optimally, eliminating the need for manual user manipulation.
Solution Approach 2:
The system replaces the mechanical manual manipulation process with an automated computational system. Instead of requiring users to manually adjust and optimize placement through trial and error, the system uses image processing, salient region detection algorithms, and machine learning models to automatically compute and apply the optimal placement, substituting human effort with automated intelligent systems.
3Object-affected harmful factors
If the inset window size is reduced to avoid overlapping salient regions, then visual conflicts are minimized, but the amount of supplemental content that can be displayed is reduced
Solution Approach 1:
The system applies local quality by differentiating between salient and non-salient regions of the primary content. Instead of treating the entire content area uniformly, the system identifies specific local zones (salient vs. non-salient) and applies different placement rules: avoiding salient regions while utilizing non-salient regions for inset window placement, thereby optimizing both conflict avoidance and space utilization.
Solution Approach 2:
The system resolves the size conflict by operating in a higher dimensional decision space. Rather than simply reducing the inset window area in a single dimension, the system maps salient regions across multiple spatial dimensions and temporal aspects of the content, then uses this multi-dimensional understanding to position the inset window in three-dimensional space (on-screen position, size, and timing) to maximize available non-salient space.
Data Source
AI summary
Disclosed herein are techniques for providing live video feed content within primary content of a slide presentation application. An inset window may provide an indication of size, shape, location, etc. of the live video feed when presented with the primary content. The inset window/live video feed may be applied across all slides of the slide presentation via a request provided via graphical user interface of the slide presentation application.


