PATENT CLAIM ANALYSIS

Application Number: 16263961
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "103000"]

Abstract:
Embodiments of the present disclosure include a computer-implemented method that receives a digital image input, the digital image input containing one or more dynamic salient objects arranged over a background. The method also includes performing a tracking operation, the tracking operation identifying the dynamic salient object over one or more frames of the digital image input as the dynamic salient object moves over the background. The method further includes performing a clustering operation, in parallel with the tracking operation, on the digital image input, the clustering operation identifying boundary conditions of the dynamic salient object. Additionally, the method includes combining a first output from the tracking operation and a second output from the clustering operation to generate a third output. The method further includes performing a segmentation operation on the third output, the segmentation operation extracting the dynamic salient object from the digital image input.

Claim (Index 9):
The computer-implemented method of  claim 1 , further comprising re-compositioning the extracted dynamic salient object onto a digital image, the digital image being different than frames in the digital video image input.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.75439
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15441978', '11421031', '15799395', '14883743', '16173984']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2636352467707996
- 35 USC 102 Novelty (BERT): 0.5549410022445026
- Combined Prediction Score: 0.2927658223181699
- Mean Citation Score: 210.019268
- Max Citation Score: 403.73868
- Similarity Product: 374.67923046275854

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