Time-Based Image Processing Using Elapsed Capture Time
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Solution Overview
Problem
Existing image processing techniques do not effectively capture the gradual changes over time, such as the aesthetic changes in leather or the evolution of taste in sake, and lack the ability to dynamically adjust image processing based on elapsed time.
Innovation Solution
An image processing device and method that calculates the elapsed time since imaging and applies image processing that changes over time based on this duration, including options like altering color, blurriness, or adding decorative elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a still image is captured and displayed at the same frame rate as moving images (30fps), then the still image display occupies the same bandwidth as moving images, but this causes waste of communication bandwidth and server resources since still images require less data transmission
Solution Approach 1:
The system transmits still images at a reduced frame rate (e.g., 1fps) compared to moving images (30fps), creating a periodic transmission pattern. This reduces bandwidth consumption for still images while maintaining adequate update frequency for user experience.
Solution Approach 2:
The system dynamically adjusts the frame rate for still image transmission based on content type and user interaction state. For example, it may increase transmission frequency when a user is actively viewing a profile page versus when the page is idle, optimizing the balance between bandwidth usage and timeliness.
2Loss of time
If the latest still image is transmitted frequently to reduce delay, then the response timeliness improves, but the communication bandwidth and server load increase
Solution Approach 1:
The system applies different transmission strategies to different types of content. Profile images, avatar images, and background images have different transmission priorities and frame rates based on their importance and size, optimizing overall bandwidth utilization while ensuring critical images are updated timely.
3Loss of information
If all image data is transmitted to ensure complete information, then the image quality and completeness are maintained, but the data transmission volume and processing load increase
Solution Approach 1:
The system extracts and transmits only the necessary image data for each use case. For example, when displaying a profile, only the avatar and background image are transmitted, not the entire image library. This reduces data volume while maintaining information completeness for the specific context.
4Adaptability or versatility
If the system processes and manages detailed image information for each user, then the personalization and user experience are improved, but the server load and processing complexity increase
Solution Approach 1:
The system performs preliminary processing of image data during upload and storage, organizing images by type, user, and metadata. This pre-processing reduces the complexity of real-time processing during image display and transmission, as the data is already structured and ready for efficient retrieval.
Data Source
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AI summary
An object of the present invention is to provide an image processing device, an image processing method, an imaging device, and a program capable of performing image processing that changes over time. An image processing device 101 includes an image acquisition unit 100A that acquires a captured image to be processed from a storage unit in which a captured image having first date and time information indicating a time of imaging is stored, a date and time information acquisition unit 100B that acquires the first date and time information from the captured image to be processed and acquires second date and time information indicating a date and time when the captured image to be processed is acquired from the storage unit by the image acquisition unit, an elapsed date and time calculation unit 100C that calculates an elapsed date and time from the time of imaging by making a comparison between the first date and time information and the second date and time information acquired by the date and time information acquisition unit, and an image processing unit 100D that selects image processing based on a length of the elapsed date and time from among a plurality of kinds of image processing that change according to the length of the elapsed date and time and performs the selected image processing on the captured image to be processed.