Video Metadata Frame Updates Using Thresholded Object Properties
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Solution Overview
Problem
The increasing bitrate of metadata produced by video cameras, which is not adequately addressed by existing compression methods, leads to high costs for transmission and storage.
Innovation Solution
A method and device for setting object property values in metadata frames by determining deviations from previous frames using a non-zero threshold, omitting redundant metadata entries to reduce bitrate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If object property values are repeated in every metadata frame, then complete information is provided, but transmission and storage costs increase
Solution Approach 1:
The patent extracts only the changed object property values from the full metadata and transmits them separately, while the receiver reconstructs complete metadata by combining these extracted changes with default values from previous frames. This eliminates the need to transmit redundant unchanged information, directly reducing metadata bitrate while maintaining information completeness.
Solution Approach 2:
Instead of transmitting complete metadata frames as conventionally done, the patent inverts the approach by transmitting only the differences (changes) from the previous frame. The receiver then reconstructs the complete metadata by applying these differences to the previous frame's data, effectively reducing transmission volume while preserving information integrity.
2Quantity of substance
If object property values are omitted in metadata frames, then transmission and storage costs reduce, but information completeness deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the receiver uses previously received metadata frames as a reference to reconstruct current frame information. By comparing received change indicators with stored previous frame data, the receiver can accurately reconstruct complete metadata, ensuring information completeness is maintained despite selective omission in transmission.
3Measurement precision
If a zero threshold is used for object property changes, then all changes are detected, but false detections increase due to measurement errors
Solution Approach 1:
The patent changes the threshold parameter from zero to a non-zero value that accounts for expected measurement errors and natural variations in object properties. This adjusted threshold filters out false detections caused by minor measurement fluctuations while still detecting genuine changes in object properties, thereby improving detection accuracy.
4Object-generated harmful factors
If a non-zero object property threshold is used, then false detections from measurement errors reduce, but some actual changes may be missed
Solution Approach 1:
The patent applies partial action by using a non-zero threshold that filters out minor variations below the threshold level, accepting that very small genuine changes may be missed. This is a deliberate trade-off to eliminate the far more frequent false detections from measurement errors, achieving net improvement in detection reliability.
Data Source
AI summary
A method and a device for setting a value of an object property in a sequence of metadata frames corresponding to a sequence of video frames is provided. An object is detected in a plurality of video frames. For a temporally first video frame a first value of an object property is determined and the object property is set to have the first value in a metadata frame corresponding to the first video frame. For each subsequent video frame, a subsequent value of the object property is determined and a deviation is calculated with respect to a value of the object property that was last set in a metadata frame. If the deviation exceeds a non-zero threshold, the object property is set to have the subsequent value in a metadata frame corresponding to the subsequent video frame. Otherwise no value of the object property is set in that metadata frame.


