Anisotropic Filter Array for Scale Invariant Video Fingerprinting

The patent divides the video processing into two distinct passes: a first pass using simple filters to identify candidate interest regions, and a second pass using complex anisotropic filters only on those identified regions. This segmentation allows complex processing to be applied selectively rather than universally, reducing overall computational complexity while maintaining measurement precision for regions that require it.

The patent applies different filtering strategies to different regions of the video frames based on their characteristics. Simple filters are used for initial screening of all frames, while complex anisotropic filters are applied only to identified interest regions where high precision is needed. This local differentiation of processing quality optimizes the balance between accuracy and computational cost.

The processing workflow is segmented into two stages: rapid initial detection using simple filters across all frames, followed by detailed analysis using complex filters only on candidate regions. This segmentation enables high throughput in the first pass while ensuring high precision in the second pass for critical regions, thereby maintaining both productivity and feature detection accuracy.

Instead of applying complex filters to all frames (excessive action), the patent applies them only to a subset of identified interest regions (partial action). This partial application of complex processing is sufficient to achieve the required feature detection precision while avoiding the excessive computational burden that would reduce productivity.

The patent implements scale invariant detection through a two-pass approach where the first pass identifies candidate regions using simple scale-space analysis, and the second pass refines these regions using an array of anisotropic filters at multiple scales. This segmentation of scale analysis across passes reduces the complexity burden of full scale invariance while maintaining adaptability to distortion in the final result.

The patent extends the filter analysis from a single scale to multiple scales by implementing an array of anisotropic filters with varying scale parameters. This dimensional extension into the scale domain enables the system to detect interest regions that are invariant to scaling and distortion, achieving high adaptability while the multi-scale approach is applied selectively to identified regions rather than uniformly.