ML-Based Candid Moment Detection in Image Frames
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Solution Overview
Problem
Capturing and selecting candid moments in images is a challenging task for users, requiring constant observation and manual selection from burst shots, which is time-consuming and burdensome.
Innovation Solution
An electronic device equipped with a Machine Learning (ML) model analyzes various parameters in captured photos to automatically detect and select images with candid moments, providing real-time feedback to users for improving candidness during image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user manually captures burst shots and selects candid photographs, then the user can obtain candid images, but the user burden and time consumption increase significantly
Solution Approach 1:
The system enables self-service by allowing the electronic device to automatically detect and select candid moments without user intervention. The ML model analyzes image frames autonomously to identify candid moments based on parameters like subject pose, expression, and activity, eliminating the need for manual burst shot selection by the user.
Solution Approach 2:
The patent replaces the mechanical/manual process of capturing and selecting candid photographs with an automated ML-based system. Instead of relying on user intuition and manual operation, the system uses machine learning algorithms to automatically detect candid moments, substituting human judgment with computational analysis.
2Reliability
If the photographer constantly observes and notices the object to capture candid moments, then candid photographs can be captured, but the complexity and difficulty of the task increase
Solution Approach 1:
The patent replaces the complex human observation and judgment process with an automated ML system. The electronic device uses machine learning models to automatically analyze image frames and detect candid moments based on predefined parameters, eliminating the need for constant user observation and professional photographic intuition.
Solution Approach 2:
The ML model acts as an intermediary between the camera system and the user. It processes the complex task of analyzing multiple image parameters (pose, expression, activity) and translates this into automatic candid moment detection, simplifying the overall system operation while maintaining high reliability.
3Measurement precision
If the user manually chooses candid photographs from burst shots, then the desired candid image can be selected, but the user burden remains high
Solution Approach 1:
The system performs self-service by automatically identifying and selecting candid moments without requiring user intervention. The electronic device autonomously analyzes image frames using ML models to detect candid moments based on multiple parameters, and automatically selects the best candid images for the user.
Solution Approach 2:
The patent replaces the manual selection process with automated ML-based detection. Instead of relying on user judgment to identify candid moments from burst shots, the system uses machine learning algorithms to objectively analyze image parameters and automatically select candid images, improving both accuracy and ease of operation.
Data Source
AI summary
Embodiments herein provide a method for detecting a candid moment in an image frame. The method includes: receiving, by an electronic device, image frames; determining, by the electronic device, a candid score of each image frame in the image frames using a Machine Learning (ML) model, wherein the candid score is a quantitative value of candidness present in the image frames; determining, by the electronic device, whether the candid score of the image frame in the image frames meets a threshold candid score; identifying, by the electronic device, that the candid moment is present in the image frame in response to determining that the candid score of the image frame meets the threshold candid score; and displaying, by the electronic device, the image frame comprising the candid moment.