PATENT CLAIM ANALYSIS

Application Number: 16025896
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["382", "103000"]

Abstract:
Various embodiments provide methods and systems for detecting one or more segments of an image that are related to a particular object in the image (e.g., a logo or trademark) and extracting at least one feature point, each of which is represented by one feature point descriptor, based at least upon a contour curvature of the one or more segments. The at least one feature point descriptor can be converted into one or more codewords to generate a codeword database. A discriminative codebook can then be generated based upon the codeword database and utilized to detect objects and/or features in a query image.

Claim (Index 17):
The system of  claim 14 , wherein the instructions when executed further cause the system to:\n generate a set of different appearances of the shape by using random perspective transformations; compute the at least one codeword based at least upon the set of feature points, the corresponding feature point descriptors, or coordinates of the set of feature points; and generate the discriminative codebook based at least upon information stored in the database.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 95.0
- Lexical Diversity: 1.68182
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14498924', '14581906', '15453726', '14536402', '14491521']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.330041511672745
- 35 USC 102 Novelty (BERT): 0.4955120351116208
- Combined Prediction Score: 0.3465885640166325
- Mean Citation Score: 166.62407480000005
- Max Citation Score: 281.5266
- Similarity Product: 262.9762713669419

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test