PATENT CLAIM ANALYSIS

Application Number: 15876309
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["382", "225000"]

Abstract:
A method including: clustering a plurality of records, each record comprises at least one object image and at least one textual field associated with the object, to yield a plurality of clusters such that the object images in each cluster exhibit between them a visual similarity above a specified value; associating each cluster with a label by applying a dictionary function to the textual fields of each cluster, wherein the label reflects a common semantic factor of the textual fields of each cluster, wherein the common semantic factor has a value above a specified threshold. Accordingly, the visual similarity provides a measure of resemblances between two visual objects that can be based on at least one of: the fit between their color distribution such as correlation between their HSV color histograms, the fit between their texture, the fit between their shapes, the correlation between this edge histograms and face similarity.

Claim (Index 5):
The method according to  claim 4 , wherein the representative image is replaced by an image of one of the records having a greatest visual similarity with the images of the records.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 86.0
- Lexical Diversity: 2.06329
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14753140', '13267464', '12995911', '14223819', '12499118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3220941694449372
- 35 USC 102 Novelty (BERT): 0.5431311974974372
- Combined Prediction Score: 0.3441978722501873
- Mean Citation Score: 247.93193400000004
- Max Citation Score: 388.63513
- Similarity Product: 362.5764573088657

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

Dataset: test