Audio-Visual Synchronization in Electronic Camera Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In electronic devices with cameras, there is a mismatch between recorded sounds and photographed images, particularly in modes where both are captured simultaneously, leading to incongruent audio-visual combinations due to timing discrepancies and attribute mismatches.
Innovation Solution
An apparatus and method that record both images and sounds for a set period in a 'sound photographing' mode, analyze the attributes of the image and sound, and synchronize them by selecting and storing a sound that matches the mood or attributes of the image, or vice versa, to create a harmonized audio-visual file.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a still image and sound are recorded at the same time in a camera device, then the sound can be stored with the image, but a mismatch between the photographed image and the recorded sound can happen
Solution Approach 1:
The system performs preliminary actions by continuously capturing a sequence of images and sounds before the actual photographing moment, then analyzes these pre-captured data to select the most matching combination. This resolves the contradiction by preparing multiple options in advance and selecting the best match after the fact, ensuring both versatility and reliability.
Solution Approach 2:
The system uses feedback by analyzing the captured images and sounds, evaluating their matching degree, and using this analysis to select the optimal combination. The feedback loop ensures that the final selected image-sound pair has high compatibility, resolving the mismatch problem while maintaining synchronization accuracy.
2Adaptability or versatility
If multiple images and sounds are recorded to ensure matching, then the quality of matched pairs improves, but the complexity of selection and processing increases
Solution Approach 1:
The system replaces complex manual analysis and selection processes with automated image recognition and sound analysis algorithms. These intelligent systems automatically evaluate the matching degree between images and sounds, selecting the best pairs without requiring complex manual processing, thus improving matching quality while managing processing complexity.
3Adaptability or versatility
If the system analyzes and selects the best matching image-sound pair from multiple recordings, then the emotional accuracy improves, but the time required for processing increases
Solution Approach 1:
The system performs preliminary capture of multiple images and sounds, analyzing them to pre-determine the best matching pair. By doing the analysis and selection work after capture but before final storage, the system ensures emotional accuracy is optimized while the actual user experience of time loss is minimized, as the heavy processing occurs in the background.
Data Source
AI summary
An apparatus and a method for photographing an image in an electronic device having a camera are disclosed. The electronic device may include an image sensor, an image signal processor configured to process an image obtained by the image sensor, an audio processing unit configured to process a sound received from a microphone, a storage unit configured to store data, and a control unit configured to implement the method. The method may include recording for a set period of time, a series of images and a series of sounds using the image sensor and the microphone when a sound photographing mode is active, selecting a particular sound from the series of sounds having a high correlation with a particular image from the series of images, and synthesizing the particular sound with the particular image and store in the storage unit the synthesized particular sound with the particular image.