Emotion-Tagged Image Accumulation for Characteristic Video Extraction
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Solution Overview
Problem
Existing technologies are unable to analyze individual emotions and extract characteristic video scenes based on these emotions.
Innovation Solution
An image accumulation apparatus that includes an image acquisition unit, expression classification unit, and image accumulation unit to classify and accumulate image data associated with emotion identifiers, allowing distribution to a terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external features such as individual actions or expressions are used to extract images, then images with specific characteristics can be extracted, but individual emotions cannot be analyzed and characteristic video scenes based on emotions cannot be extracted
Solution Approach 1:
The patent introduces an emotion recognition unit as an intermediary component that processes image data to extract emotional information. This unit acts as a mediator between the image acquisition unit and the image accumulation unit, enabling the system to analyze inner emotional states through external facial expressions without losing emotional information
Solution Approach 2:
The patent replaces traditional external feature-based image extraction with an emotion-based extraction system. Instead of relying solely on mechanical or visual feature matching, the system uses emotion recognition technology to substitute and enhance the extraction process, enabling analysis of inner emotional states through computational methods
2Adaptability or versatility
If image data is accumulated with emotion identifiers for distribution to terminals, then characteristic video scenes based on emotions can be extracted, but system complexity increases
Solution Approach 1:
The patent segments the image accumulation system into distinct functional units: an image acquisition unit, an emotion recognition unit, an image accumulation unit with emotion identifiers, and an image distribution unit. This segmentation allows each component to perform its specific function independently, managing system complexity through modular architecture while enabling emotion-based adaptability
Solution Approach 2:
The image accumulation unit is designed with multi-functionality by incorporating emotion identifier integration. The same accumulation mechanism handles both traditional image storage and emotion-tagged image storage, allowing the system to adapt to different distribution requirements without requiring entirely separate systems for each function
Data Source
AI summary
An object is to provide an image accumulation apparatus, a method, and a non-transitory computer-readable medium capable of extracting a characteristic video based on an individual emotion. An image accumulation apparatus according to the present disclosure includes an image acquisition unit, an expression classification unit, and an image accumulation unit. The image acquisition unit acquires image data. The expression classification unit classifies face image data included in the image data into a predetermined emotion. The image acquisition unit accumulates the image data associated with emotion identifiers for identifying the classified emotions so that the image data is distributable to a terminal.