Mobile Image Encoding for Contact Records
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Solution Overview
Problem
Mobile devices face challenges in associating images with contact records due to limited storage and processing capacity, as well as concerns about conserving battery power and minimizing bandwidth usage, especially in communications-related applications.
Innovation Solution
A method and apparatus for encoding images on mobile devices, which involves setting and modifying encoding parameters to produce an encoded image within a maximum file size, using a computer-implemented method and device with an image encoder that selects and crops sub-images, and encodes them until the file size meets the threshold, ensuring efficient storage and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed images are stored and transmitted for contact records, then image quality and visual identification are improved, but storage capacity, battery power consumption, and bandwidth usage increase
Solution Approach 1:
The patent applies parameter changes by adjusting image encoding parameters (such as compression ratio, resolution, and format) to optimize the balance between image quality and file size. The system encodes images with specific parameters to reduce storage requirements while maintaining sufficient visual quality for contact identification purposes.
Solution Approach 2:
The patent extracts only the essential visual information needed for contact identification by using thumbnail images, cropped portions of larger images, or encoded representations that capture key features while removing redundant data, thereby reducing storage requirements.
2Measurement precision
If detailed images are stored and transmitted for contact records, then image quality and visual identification are improved, but bandwidth usage increases
Solution Approach 1:
The patent changes image transmission parameters by encoding images at optimized compression levels and resolutions suitable for wireless transmission. The system adjusts encoding parameters to minimize bandwidth consumption while ensuring that images remain visually identifiable for contact purposes.
Solution Approach 2:
The patent extracts and transmits only the essential visual content needed for contact identification, such as thumbnail-sized images or encoded representations, rather than transmitting full-resolution detailed images, thereby reducing bandwidth usage.
3Measurement precision
If images are encoded with high quality to maintain visual identification, then image quality is improved, but processing capacity requirements increase
Solution Approach 1:
The patent applies parameter changes by using optimized encoding parameters that balance quality and processing requirements. The system employs encoding parameters tailored for mobile devices with limited processing capacity, achieving sufficient image quality without requiring excessive computational resources.
Solution Approach 2:
The patent uses lightweight, efficiently encoded image representations that require minimal processing power to encode and decode. By accepting that contact images need only be sufficiently clear for identification rather than high-quality artistic representations, the system reduces processing requirements.
Data Source
AI summary
A method and computing device for encoding an image according to a preset encoding parameter for the image. The encoding producing an encoded image having a file size. If it is determined that the file size exceeds a maximum file size and the encoding parameter does not meet a threshold, the encoding parameter is modified. The encoding, determining and modifying are repeated until the file size does not exceed a maximum file size or the encoding parameter meets the threshold.


