3D Heat Map for VR Viewing Analysis
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Solution Overview
Problem
Existing heat map technologies for VR content analysis are limited to two-dimensional representations, making it difficult to obtain comprehensive information about user viewing behavior in three-dimensional spaces.
Innovation Solution
A system that detects the number of viewing times and viewing time for each region of a three-dimensional image, creating a heat map in a three-dimensional space using these factors, allowing for multi-dimensional information display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a two-dimensional heat map is used to display user gazing points, then the implementation is simple, but the information dimensionality is insufficient
Solution Approach 1:
The patent transitions from a two-dimensional heat map representation to a three-dimensional heat map that incorporates depth information corresponding to the distance from the user's viewpoint. This dimensional expansion allows the heat map to preserve spatial relationships and provide multi-dimensional viewing situation information while maintaining visual intuitiveness.
2Loss of information
If only frequent viewing positions are displayed, then the heat map is easy to interpret, but comprehensive viewing behavior information is lost
Solution Approach 1:
The patent applies different visual properties to different regions of the heat map based on their characteristics. Regions are differentiated by viewing frequency, viewing duration, and depth position, with each attribute encoded through specific visual channels (color intensity, opacity, depth rendering) to comprehensively represent diverse viewing behaviors while maintaining interpretability.
3Measurement precision
If multiple creation factors are collected and analyzed, then the viewing situation analysis becomes comprehensive, but the system complexity increases
Solution Approach 1:
The patent creates a unified three-dimensional heat map system that simultaneously processes and visualizes multiple creation factors including viewing frequency, viewing duration, and depth information. This multi-functional approach integrates diverse data collection, processing, and visualization functions into a single coherent system, achieving comprehensive analysis without proportionally increasing system complexity.
Data Source
AI summary
Provided is a heat map presentation device including: a creation factor detection unit 13 that detects the number of viewing times and viewing time by a viewer as a plurality of creation factors for a heat map for each of a plurality of regions obtained by dividing a three-dimensional image on the basis of a detection result of a region that the viewer is viewing in the three-dimensional image; and a heat map creation unit 14 that creates a heat map for a three-dimensional space on the basis of the plurality of creation factors which are detected. The heat map that is displayed in the three-dimensional space is created on the basis of the plurality of creation factors. It is possible to provide multi-dimensional information based on the plurality of creation factors by the heat map on the three-dimensional space having dimensions greater in comparison to a heat map in the related art which is displayed in a two-dimensional space.