Video Frame Contact Identifier Automation
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Solution Overview
Problem
Current communication devices lack a seamless method to utilize video frames from communication sessions for contact identification, relying on manual entry or limited image storage, which can result in suboptimal contact list personalization.
Innovation Solution
A communication device method that captures and selects video frames during a communication session based on video quality and face detection, allowing users to automatically or manually choose frames for storage as contact identifiers, enhancing contact list personalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual entry of contact information is used, then device complexity is reduced, but productivity and contact list personalization are worsened
Solution Approach 1:
The system automatically captures video frames from communication sessions and selects them as contact identifiers without requiring manual user input. The device serves itself by extracting contact information and images autonomously from the communication data, eliminating the need for users to manually enter contact details while maintaining personalized contact lists
Solution Approach 2:
The system performs preliminary actions by capturing and storing video frames during communication sessions before the contact information management process is completed. Video frames are captured in advance and made available for selection as contact identifiers, streamlining the overall process and improving productivity
2Productivity
If video frames are captured and stored as contact identifiers, then contact list personalization is improved, but device complexity and memory requirements are worsened
Solution Approach 1:
The system extracts only the necessary video frames from the continuous communication stream and stores them as contact identifiers. By extracting and selecting specific frames rather than storing entire video streams, the system reduces memory requirements and simplifies management while maintaining personalized contact information
Solution Approach 2:
The system captures and stores only the essential video frames needed for contact identification rather than all possible video data. This partial action approach optimizes the balance between personalization quality and storage requirements, avoiding excessive data collection while maintaining effective contact list personalization
3Productivity
If automated video frame selection is implemented, then productivity is improved, but measurement precision and video quality assessment are worsened
Solution Approach 1:
The system incorporates feedback mechanisms to evaluate and select video frames based on quality criteria. By using feedback from quality assessment algorithms, the system automatically selects appropriate video frames as contact identifiers, improving productivity while maintaining measurement precision through iterative evaluation and selection processes
Data Source
AI summary
A method, a communication device and computer readable storage media facilitate engaging in communication session between a first communication device and another, i.e., a second communication device. One or more video frames received from the second communication device for display on the first communication device are captured. At least one video frame from the communication session is selected, at the first communication device, for use as a contact identifier associated with a contact person at the second communication device. The selected video frame for use as the contact identifier of the contact person is stored in a memory of the first communication device.