PATENT CLAIM ANALYSIS

Application Number: 16284939
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-09
Patent Classification: ["382", "103000"]

Abstract:
Image feature trackability ranking systems and methods are disclosed. A method of establishing a trackability ranking order from tracked image features within a training video sequence at a tracking analysis device includes establishing a tracking region within the training video sequence using a feature detection algorithm. Trajectories of tracked image features within the tracking region are compiled using a feature tracking algorithm. Saliency metrics are assigned to each one of the trajectories of tracked image features based on one or more feature property measurements within the tracking region, and a trackability ranking algorithm that is a function of the saliency metrics and a defined feature trajectory ranking associated with the training video sequence is determined, the trackability ranking algorithm being usable for ranking, based on trackability, tracked image features within another video sequence.

Claim (Index 64):
The device of  claim 63 , wherein the linear ranking function is learned using a ranking support vector machine (SVM).

Metadata:
- Claim Count in Document: 125.0
- Percentile: 99.0
- Lexical Diversity: 2.2381
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15974627', '14795515', '14696202', '15172826', '15379111']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3518374699113457
- 35 USC 102 Novelty (BERT): 0.5843083753637079
- Combined Prediction Score: 0.3750845604565819
- Mean Citation Score: 344.02209000000005
- Max Citation Score: 562.68463
- Similarity Product: 364.01178740981584

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test