Image Audio Metadata Tagging for Contextual Engagement
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Solution Overview
Problem
Image-capturing computing devices do not adequately account for environmental factors and context when capturing images, limiting user engagement and experience, as they primarily focus on the image itself without incorporating surrounding audio content.
Innovation Solution
A computing device captures both images and audio content, generates or retrieves an audio fingerprint, and associates metadata with the image, allowing users to view or play back the identified audio content when the image is accessed, thereby enhancing the user's experience by providing contextual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image-capturing devices focus only on capturing images, then the device complexity remains low, but the user engagement and experience are limited
Solution Approach 1:
The patent combines image capture and audio capture functions into a single computing device, merging visual and auditory data collection. The camera and microphone work together to create multimedia content with embedded audio fingerprints, enhancing user engagement while maintaining integrated system architecture.
Solution Approach 2:
The computing device performs multiple functions: capturing images, capturing audio, generating audio fingerprints, and embedding metadata. This multi-functional approach allows a single device to provide enriched media experiences without requiring separate specialized devices.
2Loss of information
If audio content is captured and processed alongside images, then contextual information is enhanced, but the processing time and energy consumption increase
Solution Approach 1:
The audio fingerprint is generated and embedded in the image metadata at the time of capture, rather than being added later. This preliminary action ensures contextual information is preserved while minimizing post-processing time, as the audio analysis is performed concurrently with image capture.
Solution Approach 2:
The audio fingerprint acts as an intermediary representation of the audio content, condensing complex audio data into a compact format that can be efficiently stored and processed. This intermediary form preserves essential contextual information while reducing processing and storage requirements.
Data Source
AI summary
In one aspect, an example method to be performed by a computing device includes (a) receiving a request to use a camera of the computing device; (b) in response to receiving the request, (i) using a microphone of the computing device to capture audio content and (ii) using the camera of the computing device to capture an image; (c) identifying reference audio content that has at least a threshold extent of similarity with the captured audio content; and (d) outputting an indication of the identified reference audio content while displaying the captured image.