Robust Media Signature Calculation via Iterative Spanning Element Processing
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Solution Overview
Problem
Current object detection methods require significant computational resources and are sensitive to acquisition parameters like angle and scale, necessitating the development of robust and efficient techniques.
Innovation Solution
The method generates a signature for media units by creating a multidimensional representation, using iterative dimension expansion and merge operations, and selectively reducing power consumption by shutting down irrelevant spanning elements, allowing for efficient object detection across varying conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional object detection methods are used, then detection accuracy can be maintained, but computational resources and processing time increase significantly
Solution Approach 1:
The patent segments the object detection process into multiple iterations, where each iteration processes a subset of spanning elements. This allows the system to divide computational work into manageable chunks, improving processing throughput while maintaining detection accuracy through cumulative refinement across iterations.
Solution Approach 2:
The patent implements partial action by processing only a portion of spanning elements in each iteration rather than all elements simultaneously. The system processes spanning elements in batches across multiple iterations, which improves computational efficiency while the cumulative effect of multiple partial processing passes maintains or enhances detection accuracy.
2Reliability
If more spanning elements are processed, then detection robustness improves, but power consumption and computational load increase
Solution Approach 1:
The patent applies periodic action by organizing the processing of spanning elements into discrete iterations with regular intervals. Each iteration processes a specific set of spanning elements, allowing the system to manage power consumption through controlled, periodic computational bursts rather than continuous high-load processing, while still achieving robust detection through multiple processing cycles.
Solution Approach 2:
The system processes only the necessary portion of spanning elements in each iteration based on detection needs. By dynamically adjusting the number and selection of spanning elements processed in each iteration, the system achieves robust detection with optimized power consumption, avoiding the energy waste of processing all possible spanning elements continuously.
3Measurement precision
If iterative processing is used to improve detection accuracy, then measurement precision increases, but processing time increases
Solution Approach 1:
The patent segments the iterative processing into parallelizable iterations, where each iteration can independently process specific spanning elements. This segmentation allows for optimized execution where iterations can be scheduled efficiently, reducing overall processing time while maintaining the precision benefits of multiple processing passes through better time management and potential parallel execution.
Data Source
AI summary
Systems, and method and computer readable media that store instructions for calculating signatures, utilizing signatures and the like.