PATENT CLAIM ANALYSIS

Application Number: 16199270
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["382", "103000"]

Abstract:
There is provided a method of identifying objects in an image, comprising: extracting query descriptors from the image, comparing each query descriptor with training descriptors for identifying matching training descriptors, each training descriptor is associated with a reference object identifier and with relative location data (distance and direction from a center point of a reference object indicated by the reference object identifier), computing object-regions of the digital image by clustering the query descriptors having common center points defined by the matching training descriptors, each object-region approximately bounding one target object and associated with a center point and a scale relative to a reference object size, wherein the object-regions are computed independently of the identifier of the reference object associated with the object-regions, wherein members of each cluster point toward a common center point, and classifying the target object of each object-region according to the reference object identifier of the cluster.

Claim (Index 5):
The method of  claim 1 , further comprising:\n selecting, for each bound target object of each object-region, a group of candidate reference object identifiers based on a cluster of query descriptors associated with the respective object-region; computing a probability of each member of the group of candidate reference object identifiers being the respective target object; and classifying the bound target object of each object-region of the plurality of object-regions according to the member of the group with the highest computed probability.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.38235
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15594611', '15647292', '13665480', '12324241', '14785045']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3561518887038594
- 35 USC 102 Novelty (BERT): 0.5643282258715402
- Combined Prediction Score: 0.3769695224206275
- Mean Citation Score: 274.372942
- Max Citation Score: 435.78305
- Similarity Product: 432.1089035739452

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