Priority-Based Video Data Overwriting Management
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Solution Overview
Problem
Digital video recorders lack an efficient method to manage storage capacity by overwriting video data based on priority, leading to non-essential data being retained while essential data is deleted due to sequential overwriting without regard to its importance.
Innovation Solution
A method that prioritizes video data segments into categories based on their source, events, and operator-defined rules, allowing for real-time classification and overwriting of low-priority data before high-priority data, using a two-step filtering process to determine which segments to overwrite based on minimum lifespan requirements and age.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sequential overwriting method is used to manage storage capacity, then storage space is efficiently reused, but high-priority video data may be overwritten before low-priority data
Solution Approach 1:
The patent segments video data into distinct priority categories (high-priority and low-priority) based on event types, sources, and operator-defined rules. This segmentation allows the system to differentiate between important and non-important video segments, enabling selective overwriting of only low-priority data when storage capacity is reached, thereby preventing loss of high-priority video while maintaining efficient storage reuse.
Solution Approach 2:
The patent applies local quality by assigning different retention characteristics to different portions of stored video data based on their priority classification. High-priority video segments are protected from overwriting for longer durations or indefinitely, while low-priority segments are marked for overwriting when storage is full. This localized differentiation ensures that critical information is preserved while non-critical data is efficiently recycled.
2Loss of information
If all video data is retained equally regardless of importance, then no data is lost, but storage capacity is wasted on non-essential data
Solution Approach 1:
The patent changes the parameter of data retention by introducing priority-based classification that modifies how long different video segments are retained. Instead of uniform retention, the system dynamically adjusts retention duration based on priority level, event type, and operator-defined rules. High-priority data retains longer or indefinitely, while low-priority data is overwritten sooner, optimizing storage capacity utilization while preserving essential information.
Solution Approach 2:
The patent implements discarding and recovering by systematically identifying and overwriting low-priority video segments when storage capacity is reached, while preserving high-priority segments. The system recovers storage space by selectively discarding non-essential data, allowing continuous operation without physical media replacement while maintaining preservation of important video content.
3Measurement precision
If manual review and classification of all video data is performed, then accurate priority assignment is achieved, but time and operational complexity increase
Solution Approach 1:
The patent applies preliminary action by automatically classifying video segments into priority categories at the time of recording based on predefined criteria such as event types, camera sources, and motion detection patterns. This preliminary classification eliminates the need for subsequent manual review, as the priority assignment is performed in real-time during the recording process, achieving both accurate classification and time efficiency.
Solution Approach 2:
The system performs self-service by automatically categorizing and prioritizing video segments without requiring operator intervention. The digital video recorder analyzes incoming video streams, applies predefined classification rules, and assigns priority levels autonomously. This self-service capability maintains high classification accuracy while eliminating time loss associated with manual review and assignment.
Data Source
AI summary
This invention provides methods for managing the overwriting of existing stored video data with new incoming video data by prioritizing all video categories, and establishing rules for each level of priority. The methods are based upon the classification or prioritization of the each video segment into discrete categories. Rules are established for each particular category. Then as incoming video arrives, a two-part filtering system is used to identify which existing video will be overwritten. First, video in the lowest priority category is identified. Then the retention rules are applied to the identified video in the category to determine whether it can be overwritten. This two step filtering process is repeated for each category from lowest to highest until sufficient space is made available to receive the incoming video. The prioritization of the categories may be changed in real time by the user, according to the value or importance of any particular existing stored video in order to preserve it.