Sensor Data Forwarding Logic for Notable Event Annotation
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Solution Overview
Problem
Current mobile devices lack the capability to effectively detect and annotate notable events in multimedia content using sensor data from various sources, such as motion, biometrics, and environmental conditions, which limits the enhancement and presentation of captured media.
Innovation Solution
Implementing sensor data forwarding logic in mobile devices to identify and store relevant sensor data associated with notable events, allowing for the augmentation of multimedia content with additional information, thereby reducing storage and processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from multiple sources is collected and stored for every multimedia event, then detection accuracy and annotation quality improve, but storage requirements and processing overhead increase significantly
Solution Approach 1:
The patent extracts and stores only the most relevant sensor data associated with notable events rather than all sensor data. The sensor data forwarding logic identifies notable events and selectively forwards only the sensor data portions corresponding to these events for storage, separating useful information from unnecessary data.
Solution Approach 2:
The patent segments sensor data into portions associated with notable events and portions not associated with notable events. Only the segments corresponding to notable events are stored with the multimedia content, while other segments are discarded or stored separately.
2Loss of information
If comprehensive sensor data is collected from multiple sources, then the quality of multimedia annotation improves, but device complexity and processing requirements increase
Solution Approach 1:
The patent performs preliminary identification of notable events using sensor data forwarding logic before final storage and annotation. This preliminary action filters and prepares only the relevant sensor data portions that will be used for annotation, reducing subsequent processing complexity.
Solution Approach 2:
The sensor data forwarding logic acts as an intermediary between raw sensor data collection and multimedia annotation. It processes sensor data from multiple sources, identifies notable events, and forwards only relevant portions for storage and annotation, simplifying the overall system architecture.
3Loss of information
If all sensor data is stored with multimedia content, then data completeness for analysis is improved, but retrieval efficiency and processing speed deteriorate
Solution Approach 1:
The patent extracts only the sensor data portions associated with notable events and stores them with the corresponding multimedia content. This extraction process maintains data completeness for notable events while improving processing efficiency by eliminating unnecessary data.
Solution Approach 2:
The patent applies different quality levels to different portions of sensor data based on their relevance. Sensor data associated with notable events is stored with high quality and detail, while other sensor data is either discarded or stored with lower priority, optimizing overall system performance.
Data Source
AI summary
A user device, such as a smart phone, may capture sensor data or interface with a wearable device, such as a smart watch, or another user device to capture sensor data related to the capture of multimedia content. The sensor data may relate to a user, other people, and/or an associated environment. The sensor data may be processed to detect notable events based on a sensor value having a value or being within a range of values associated with the notable event. When a notable event is detected, the multimedia content may be annotated or modified based on the notable event. For example, the multimedia content may be modified to identify the notable event and/or present sensor data captured in connection with the notable event. A user interface may be presented to enable a user to identify instances of notable events and exchange sensor data.