Multimedia Signature Identification for Accessibility
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Solution Overview
Problem
Existing devices and services face challenges in simplifying the identification of participants or participant devices associated with events, particularly for users who are disabled or illiterate, as current systems lack features to easily recognize unknown callers or participants in call logs and social networking comments.
Innovation Solution
A method and system that processes device events to determine participants and participant devices by associating multimedia signatures with these events, allowing identification through audio, video, or text snippets, enabling users to recognize participants without visual recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional text-based identification methods are used in call logs and event records, then the system maintains simplicity in data storage and processing, but disabled or illiterate users cannot identify participants or devices
Solution Approach 1:
The patent introduces multimedia signatures (audio, video, or image clips) as an intermediary between the participant/device and the user who needs to identify them. Instead of directly reading text names or numbers, users interact with these multimedia representations that are easier to recognize, especially for disabled or illiterate users. The system processes and stores these multimedia signatures to enable identification without requiring users to read or interpret traditional text-based identifiers.
2Loss of information
If multimedia signatures are processed and stored for all device events, then user identification capability is significantly improved, but the data storage requirements and processing complexity increase substantially
Solution Approach 1:
The patent extracts only the essential identifying features from device events and participants to create compact multimedia signatures. Instead of storing complete video recordings, audio conversations, or image sequences, the system extracts key frames, representative audio segments, or distinctive visual features that capture the essential identification information. This extraction process reduces the quantity of data stored while maintaining the ability to identify participants and devices effectively.
3Reliability
If the system processes all device events to generate multimedia signatures, then comprehensive identification is achieved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary processing of device events to create multimedia signatures in advance, before they are needed for identification. When a device event occurs, the system immediately processes and stores the associated multimedia signature, so that when a user needs to identify a participant or device, the identification data is already prepared and available. This preliminary action eliminates the need for real-time processing during identification queries, reducing latency and improving responsiveness.
Data Source
AI summary
An approach is provided for providing identification based on a multimedia signature. An indication platform processes and/or facilitates a processing of one or more device events to determine one or more participants, one or more participant devices, or a combination thereof. The indication platform further causes, at least in part, an association of one or more multimedia signatures with the one or more device events, the one or more participants, the one or more participant devices, or a combination thereof. The indication platform also determines to identify the one or more device events, the one or more participants, the one or more participant devices, or a combination thereof based, at least in part, on the association.