Information Processor Tag-Based Scene Reproduction
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Solution Overview
Problem
Existing techniques for reproducing multiple moving images in a digest form require a known relationship between sports play information and reproduction time, making it difficult to reproduce specific scenes, especially for actions like dribbling or passing in sports, where the reproduction time is hard to determine in advance.
Innovation Solution
An information processor that associates captured images with tag information and identification information, allowing for reproduction based on set conditions, enabling the reproduction of specific scenes indicated by the images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reproduction time is determined in advance based on known relationship between sports play information and reproduction time, then reproduction at appropriate time is achieved, but it becomes difficult to reproduce specific scenes where reproduction time cannot be determined in advance
Solution Approach 1:
The system performs preliminary tagging of captured images with metadata including subject information, action types, and spatial-temporal relationships before reproduction. This allows the reproduction system to automatically determine appropriate playback times without manual intervention, resolving the contradiction between precise timing and flexible scene selection.
Solution Approach 2:
The patent introduces tag information as an intermediary between captured images and reproduction control. These tags contain structured metadata about subjects, actions, and relationships that enable automatic reproduction timing determination, bridging the gap between raw capture data and intelligent playback decisions.
2Quantity of substance
If all captured images are reproduced, then complete coverage of sports events is achieved, but it becomes difficult to highlight specific important scenes
Solution Approach 1:
The system applies different quality levels of tag information to different captured images based on their importance. Critical scenes receive detailed tags with multiple attributes for precise identification and prioritized reproduction, while less important scenes receive minimal tagging, enabling selective highlighting without processing all images uniformly.
Solution Approach 2:
The patent segments the reproduction process into multiple stages: initial filtering based on tag categories, prioritization based on action types and subject importance, and selective reproduction of highlighted scenes. This segmentation allows the system to manage large volumes of captured images while efficiently promoting key moments.
3Adaptability or versatility
If tag information and identification information are associated with captured images, then specific scene reproduction is enabled, but system complexity increases
Solution Approach 1:
The system implements dynamic tag information structures that can be generated at different levels of detail based on processing requirements. Tag information is created adaptively during or after capture, with the degree of complexity adjusted according to the specific reproduction needs, allowing flexible control without always requiring maximum system complexity.
Data Source
AI summary
To provide an information processor, an information processing method, and a program that make it possible to improve convenience in reproduction of a captured image.There is provided an information processor including a reproduction processing section that reproduces a captured image associated with tag information regarding a subject and identification information indicating relation of a plurality of pieces of the tag information on a basis of a set reproduction condition.