Attribute-Based Image Frame Selection for Uniform Editing Displays
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Solution Overview
Problem
Existing technologies, such as JP2014-146939A, fail to consider attributes like events when calculating the required number of frames for image data, leading to significant variations in the number of frames between different attributes.
Innovation Solution
An information processing apparatus and method that acquires editing target image data, generates second display image data based on the number of frames or time intervals of first display image data, and displays images with a uniform number of frames for each attribute, using attributes like date, event, subject, imaging position, or imaging person to classify and adjust frame counts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the required number of frames is calculated without considering attributes, then the processing is simple, but the number of frames varies greatly between different attributes
Solution Approach 1:
The patent changes the parameter of frame calculation by introducing attribute-based classification. Instead of using a uniform calculation method for all image data, the system categorizes images by attributes (event, location, person, etc.) and applies different frame count calculations for each category, thereby achieving consistent frame numbers across different attributes while maintaining processing efficiency
Solution Approach 2:
The patent segments the image data processing by dividing it into attribute-based categories. The frame calculation is segmented into different calculation methods for different attribute types (e.g., event-based images vs. location-based images), allowing each segment to be optimized independently to achieve overall consistency
2Ease of operation
If image data is classified for each attribute, then the presentation becomes more organized, but the number of frames varies significantly between attributes
Solution Approach 1:
The patent modifies the frame count parameter based on attribute classification. For each attribute category (event, location, person, object), the system determines an appropriate frame number that ensures uniform presentation. This parameter adjustment resolves the inconsistency caused by simple classification without coordinated frame management
Solution Approach 2:
The patent creates a universal frame calculation framework that works across all attribute types. The system establishes a multi-functional approach where the same classification infrastructure serves both organizational purposes and frame count determination, ensuring that all attribute-based categories follow a consistent frame management strategy
3Quantity of substance
If the number of frames is increased for all attributes, then more details are captured, but the display becomes unbalanced and some attributes have excessive frames
Solution Approach 1:
The patent applies local quality by assigning different frame quantities to different attribute categories based on their specific needs. Instead of uniformly increasing frames for all attributes, the system determines the appropriate frame count for each attribute type (e.g., events may require more frames than static locations), achieving display balance while capturing necessary details
Solution Approach 2:
The patent dynamically adjusts the frame count parameter for each attribute category to optimize display balance. The system changes the quantity parameter locally for each attribute type rather than applying a global increase, preventing any single attribute from having excessive frames while ensuring sufficient detail capture across all categories
Data Source
AI summary
An information processing apparatus acquires editing target image data including video image data, acquires first display image data of a plurality of frames, generates second display image data of a plurality of frames determined in accordance with the number of frames of the first display image data from the editing target image data, and displays display images of a plurality of frames indicated by the second display image data of the plurality of frames on a display. The editing target image data and the first display image data of the plurality of frames are image data having a common attribute. The second display image data of the plurality of frames includes second display image data for video images of a plurality of frames corresponding to still image data of a plurality of frames constituting at least a part of the video image data.