Panoramic Image Camerawork Allocation for Aesthetic Continuity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for generating moving images from panoramic images face challenges in creating high-quality images due to discontinuity between scenes and monotonous camerawork caused by continuous similar camera settings, leading to a poor fit with the aesthetic properties of individual images.
Innovation Solution
A moving image generation apparatus that calculates goodness-of-fit indices for different camerawork types across panoramic images, allocates these types based on their frequency of occurrence, and encodes them to create a high-quality moving image with a normal angle of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If camerawork types are continuously similar across panoramic images, then the processing is simple and consistent, but the aesthetic fit deteriorates and the moving image becomes monotonous
Solution Approach 1:
The patent applies dynamics by making the camerawork type allocation variable and adaptive rather than fixed and static. The type allocation unit dynamically selects camerawork types based on goodness-of-fit indices calculated for each panoramic image, allowing the system to adapt to the specific characteristics of each image while maintaining processing consistency through automated decision-making.
Solution Approach 2:
The patent changes the parameter of camerawork type allocation from constant similarity to variable selection based on calculated indices. By computing goodness-of-fit indices for different camerawork types and selecting based on these values, the system transforms the fixed parameter of continuous similarity into a dynamic parameter that optimizes aesthetic fit for each individual panoramic image.
2Manufacturing precision
If camerawork types are varied to improve aesthetic fit, then the quality improves, but the complexity of determining allocation increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing goodness-of-fit indices for multiple camerawork types before final allocation. This preliminary computation of fit indices for each panoramic image and camerawork type combination enables the type allocation unit to make optimized decisions without complex real-time analysis, reducing the complexity of the allocation determination process.
Solution Approach 2:
The patent implements feedback by using calculated goodness-of-fit indices to guide the allocation of camerawork types. The system computes indices that measure how well each camerawork type fits a given panoramic image, then uses this feedback information to automatically select the optimal type for each image, improving aesthetic fit while keeping the determination process systematic and manageable.
3Measurement precision
If goodness-of-fit indices are calculated for all camerawork types, then the allocation accuracy improves, but the calculation time and computational load increase
Solution Approach 1:
The patent applies segmentation by dividing the camerawork type selection process into distinct stages: calculating goodness-of-fit indices for multiple camerawork types, evaluating these indices, and then allocating types based on the evaluation. This segmentation allows the system to maintain high allocation accuracy through comprehensive index calculation while managing computational load by processing indices in an organized, step-by-step manner rather than simultaneously.
Data Source
AI summary
The present invention relates to a moving image generation apparatus that generates a moving image having a normal angle of view from a plurality of panoramic images. The moving image generation apparatus includes a goodness-of-fit-index calculation unit 103 configured to calculate goodness-of-fit-indices of camerawork types of a virtual camera with respect to the plurality of panoramic images, a type allocation unit 104 configured to determine an allocation of the camerawork types to the plurality of panoramic images based on the goodness-of-fit-indices and a frequency of occurrence of each camerawork type, and a moving image encoding unit 105 configured to create the moving image having the normal angle of view from the plurality of panoramic images with the allocated camerawork types.