Capture Device Image Resolution Transfer Segmentation

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Solution Overview

Problem

Current capture devices lack the ability to seamlessly transition between image and video capture modes based on audibly detectable events, and they do not efficiently process and transfer high-resolution images, leading to suboptimal user experience and storage management.

Innovation Solution

A capture device configured with multiple capture modes, including an image capture mode and a video capture mode, automatically triggers video capture upon detecting specific sounds and transitions back to image capture mode, while generating low-resolution images for rapid transfer and analysis to inform processing decisions on high-resolution images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the capture device transfers high-resolution images directly, then the image quality is maintained, but the transfer time and storage requirements increase

Engineering Contradiction:
Improveimage qualityVSAvoidtransfer time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent divides the image transfer process into two segments: first transferring a low-resolution representation (thumbnail) of the image, then transferring the high-resolution image only after the low-resolution version is received and processed. This segmentation allows the receiving device to prepare for high-resolution image processing while the transfer is ongoing, significantly reducing the perceived transfer time and improving storage efficiency.

Inventive Principle:
Principle #1Segmentation

2Reliability

If the capture device continuously captures video, then important events are not missed, but the storage space and processing requirements increase

Engineering Contradiction:
Improveevent capture completenessVSAvoidstorage space
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent implements preliminary action by continuously capturing low-resolution thumbnails of scenes while in image capture mode. When an audible event is detected, these pre-captured low-resolution images are immediately available for quick transfer and analysis, allowing the system to respond rapidly to events without waiting for high-resolution video capture to complete or storage space to become available.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If the capture device uses multiple capture modes, then the functionality and adaptability improve, but the device complexity increases

Engineering Contradiction:
Improvecapture mode flexibilityVSAvoidmode transition complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary mechanism in the form of a state machine that manages transitions between image capture mode and video capture mode. This intermediary layer handles the complexity of mode switching by providing a structured framework for detecting audible events, evaluating capture conditions, and executing appropriate mode transitions, thereby maintaining adaptability while managing complexity through systematic control.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS9503644B2Using image properties for processing and editing of multiple resolution images
Publication Date: 2016.11.22 MICROSOFT TECHNOLOGY LICENSING LLC
  • US9503644B2 patent drawing
  • US9503644B2 patent drawing
  • US9503644B2 patent drawing

AI summary

Various embodiments enable a capture device to capture at least one high resolution image and generate a low resolution image based on the high resolution image. Some embodiments transfer an associated low resolution image file to a second device prior to transferring the corresponding associated high resolution image file. In some cases, the low resolution image can be analyzed to determine one or more properties associated with the low resolution image. Processing decisions associated with the high resolution image can then be based on the property or properties of the low resolution image.