PATENT CLAIM ANALYSIS

Application Number: 15957276
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["382", "218000"]

Abstract:
A method and a clustering system for image clustering, and a computer-readable storage medium are provided. The method includes: extracting a GIST feature of a first image and a GIST feature of a second image; obtaining an image fingerprint of the first image, based on the GIST feature of the first image and in conjunction with an LSH algorithm and obtaining an image fingerprint of the second image, based on the GIST feature of the second image and in conjunction with the LSH algorithm; calculating a similarity between the first and second images, based on the image fingerprints of the first and second images; and classifying the first image and the second image as a same category of image in a case that the similarity between the first image and the second image is larger than a predetermined similarity threshold.

Claim (Index 9):
The system according to  claim 8 , wherein the operations further comprises: storing the first advertising order and the second advertising order into an advertising order set corresponding to the same cluster identification in a database, in the case that the similarity between the first advertising image and the second advertising image is larger than the predetermined similarity threshold.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 91.0
- Lexical Diversity: 2.88462
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15151899', '14851386', '13530989', '13509059', '13911306']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3281546363285771
- 35 USC 102 Novelty (BERT): 0.5637962451131932
- Combined Prediction Score: 0.3517187972070388
- Mean Citation Score: 211.695726
- Max Citation Score: 431.90457
- Similarity Product: 410.384301477086

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

Dataset: test