Motion-Based Image Selection in Mobile Multimedia Devices
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Solution Overview
Problem
Conventional camera phones have limited image resolution and processing capabilities due to size constraints and power requirements, making it difficult to incorporate advanced image sensors and processing for effective image handling, especially in capturing scenes with motion.
Innovation Solution
A mobile multimedia system that initiates capture of image samples and determines the appropriate image based on motion thresholds, using a motion detection module to select images while objects are still or performing specific gestures, allowing for efficient image processing and recording in various camera modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image sensor and lens size are increased to improve resolution, then image quality is improved, but device size and power consumption increase
Solution Approach 1:
The system performs preliminary actions by capturing multiple image samples before final image determination. The motion detection module analyzes motion information from these preliminary samples to predict whether to proceed with full-resolution capture or use lower-resolution images, thereby preparing the system to optimize image quality based on future motion conditions.
Solution Approach 2:
The patent applies dynamics by making the image capture and processing parameters adjustable based on real-time motion detection. The system dynamically switches between different image processing modes (e.g., full-resolution capture vs. lower-resolution capture) depending on the detected motion level, allowing the device to adapt its effective resolution and processing capabilities without physical hardware changes.
2Measurement precision
If advanced image processing is implemented to improve image handling capability, then image quality is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts processing intensity based on motion detection results. When motion is detected, the system activates advanced image processing algorithms to capture and process motion-related information. When motion is absent, the system uses simpler processing methods, thereby reducing power consumption while maintaining image quality only when needed.
Solution Approach 2:
The motion detection module operates autonomously to determine when advanced processing is necessary. The system self-regulates its processing power by using the motion information to decide whether to engage resource-intensive image processing algorithms or to use more energy-efficient processing methods, eliminating the need for continuous high-power processing.
3Measurement precision
If continuous image capture is performed to ensure optimal image selection, then image quality is improved, but processing time and energy consumption increase
Solution Approach 1:
The system captures multiple preliminary image samples and performs motion detection on them before making the final image selection decision. This preliminary action allows the system to determine in advance whether to proceed with extended capture sequences or to select from the available samples, reducing overall processing time by avoiding unnecessary continuous capture.
Solution Approach 2:
The motion detection module provides feedback about motion conditions to the image processing system. Based on this feedback, the system adjusts its capture strategy - extending capture duration when motion is detected to ensure optimal image selection, or terminating capture earlier when motion is absent, thereby optimizing the balance between image quality and processing time.
Data Source
AI summary
A mobile multimedia device may be operable to initiate capture of a series of image samples of a scene, where the scene may comprise one or more objects that may be identifiable by the mobile multimedia device. An image for the scene may be determined by the mobile multimedia device utilizing the captured image samples based on motion associated with the identifiable objects. As soon as the image for the scene has been determined, the capture of the series of image samples may be terminated. The image may be determined when the amount of motion associated with the identifiable objects is below a particular threshold value. The identifiable objects may comprise one or more faces. The motion may be due to a gesture such as a wink or a smile received from one or more of the faces. The image may be determined when the gesture is detected.