Automatic Image Reproduction with Face Detection and Enlargement
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Solution Overview
Problem
Conventional automatic reproduction methods and apparatuses fail to prioritize and enhance the viewing experience of images containing people, as they indiscriminately reproduce images and may cut off faces, requiring manual zoom operations to view expressions and often display images with cut faces on multi-screens.
Innovation Solution
An automatic reproduction method and apparatus that determines if an image includes a face, cuts out and displays the face area in an enlarged state, and arranges it on a multi-screen, with options to select display order based on face size, possibility, and position, ensuring faces are displayed correctly and without being cut off.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional autoplay function reproduces images indiscriminately, then all images can be displayed, but face expressions cannot be confirmed and manual zoom operations are required
Solution Approach 1:
The system performs preliminary face detection and identifies face areas in images before reproduction. By pre-processing the images to detect and mark face regions, the system prepares the data structure needed for automatic face-focused reproduction, eliminating the need for manual zoom operations during playback.
Solution Approach 2:
The system extracts face area information from the original images by detecting face boundaries and coordinates. This extracted face region data is then used to automatically zoom and display only the relevant face portions during reproduction, separating the face content from the rest of the image.
2Productivity
If automatic multi-play function cuts out preset area from original image, then multi-screen can be updated, but face images may be cut off
Solution Approach 1:
The system performs preliminary face detection on original images before multi-screen reproduction, identifying the precise boundaries and coordinates of face areas. This pre-detected face information is stored and used during multi-play to guide the cutting and arrangement process, ensuring faces remain intact.
Solution Approach 2:
The system applies different processing strategies to different regions of the image based on face detection results. Face areas are identified with higher precision and given special protection during the cutting process, while non-face regions can be processed more freely for multi-screen arrangement.
3Loss of information
If face reproduction is added to automatic reproduction, then face expressions can be confirmed, but reproduction process becomes more complex
Solution Approach 1:
The system automatically performs face detection, face area extraction, and face-focused reproduction without requiring user intervention. The reproduction apparatus itself identifies and processes face regions autonomously, eliminating the need for manual zoom operations and simplifying the user experience despite the enhanced functionality.
Solution Approach 2:
The reproduction system integrates multiple functions including automatic face detection, face area extraction, face-focused zoom reproduction, and multi-screen arrangement with face protection. These diverse functions are unified in a single automated reproduction process that adapts to different image types.
Data Source
AI summary
The present invention provides an automatic reproduction method for automatically sequentially reproducing multiple original images, the method comprising the steps of: determining whether or not the original image to be automatically reproduced is an image including a face image of a person; if it is determined that the original image is an image including a face image of a person, cutting out the image of a face area including the face image from the original image; and adding face reproduction in which the cut out image of the face area is displayed in an enlarged state, to automatic reproduction of the original image.