PATENT CLAIM ANALYSIS

Application Number: 16041695
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["382", "159000"]

Abstract:
Systems and methods of generating a compact visual vocabulary are provided. Descriptor sets related to digital representations of objects are obtained, clustered and partitioned into cells of a descriptor space, and a representative descriptor and index are associated with each cell. Generated visual vocabularies could be stored in client-side devices and used to obtain content information related to objects of interest that are captured.

Claim (Index 21):
A global descriptor vocabulary system comprising:\n a recognition system configured to obtain a plurality of descriptor sets including descriptors associated with a plurality of digital representations of objects, each descriptor set existing within a descriptor space; and a vocabulary generation engine coupled with the recognition system and configured to:\n cluster the plurality of descriptor sets into regions within the descriptor space; \n partition the descriptor space into a plurality of cells as a function of the clustered regions; \n assign an index to each cell of the plurality of cells as a function of a representative descriptor in each cell of the plurality of cells, the representative descriptor being derived from a selected actual descriptor from the plurality of descriptor sets that is closest to an average of all descriptors in a corresponding cell of the descriptor space, wherein each one of the assigned indices comprises a cell address string selected as a function of an amount of cells comprising the plurality of cells; and \n instantiate a global vocabulary system as a function of the assigned indices and representative descriptors such that the global vocabulary system is configured to generate a set of content indices that reference corresponding cells in the descriptor space based on an input set of descriptors.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 95.0
- Lexical Diversity: 1.4375
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15907130', '15063271', '15633679', '15245986', '12660320']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2955464771091998
- 35 USC 102 Novelty (BERT): 0.5372194762578996
- Combined Prediction Score: 0.3197137770240698
- Mean Citation Score: 251.651986
- Max Citation Score: 365.55347
- Similarity Product: 316.4167176406992

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