Motion-Based Thumbnail Selection for Security Video Frames
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Solution Overview
Problem
Existing video capture systems, such as home-security systems, select representative images for video portions without considering the underlying content, leading to inefficient user interaction.
Innovation Solution
A camera captures video data and generates motion metadata, which is used by a server to select an image with the highest degree of motion as a thumbnail, allowing for user selection and transmission of corresponding video data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the first frame is always selected as the thumbnail, then the selection process is simple, but the representative value of the thumbnail is poor
Solution Approach 1:
The patent changes the selection parameter from a fixed position (first frame) to a dynamic parameter (frame with maximum motion metadata value). This allows the system to select thumbnails based on actual content characteristics rather than arbitrary position, improving representativeness while maintaining computational efficiency through predefined motion metadata analysis.
2Loss of information
If motion metadata analysis is performed to select thumbnails, then the representative value of thumbnails is improved, but the processing complexity increases
Solution Approach 1:
The system performs motion metadata analysis during video encoding or preprocessing, before thumbnail selection is needed. This preliminary action creates a ready-to-use motion profile that simplifies the actual thumbnail selection process to merely identifying the frame with maximum motion value, thereby improving representativeness without significantly increasing real-time processing complexity.
3Measurement precision
If detailed motion metadata is calculated for every frame, then the accuracy of thumbnail selection is improved, but the computational load increases
Solution Approach 1:
The patent replaces complex per-frame motion analysis with a more efficient metadata-driven approach. Motion metadata is calculated at key intervals or during encoding, and this condensed information substitutes for detailed per-frame analysis, maintaining sufficient accuracy for thumbnail selection while dramatically reducing computational load during the selection process.
Data Source
AI summary
Disclosed are systems and methods for selecting images using motion data. Video data and motion metadata can be received from a camera. A frame in the video data can be selected using the motion metadata. An image can be generated using the selected frame. A user interface comprising an element based on the image can be generated.


