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 13):
The non-transient computer-readable storage medium according to  claim 12 , wherein obtaining an image fingerprint of an image, based on the GIST feature of the image and in conjunction with a Local Sensitive Hashing (LSH) algorithm comprises:\n initializing an f-dimensional GIST feature vector and an f-bit binary as 0; for each dimension of GIST feature of the image; generating an f-bit signature for the GIST feature with a conventional hash algorithm; in a case that an i-th bit of the f-bit signature is 1, adding an i-th element of the f-dimensional GIST feature vector with a weight of the dimension of GIST feature; and in a case that the i-th bit of the f-bit signature is not 1, subtracting the weight of the dimension of GIST feature from the i-th element of the f-dimensional GIST feature vector, where 1\u2264i\u2264f; adding the f-dimensional GIST feature vectors for all dimensions of GIST feature of the image to obtain a first f-dimensional GIST feature vector; and outputting the f-bit binary as an image fingerprint of the image, wherein an i-th bit of the f-bit binary is 1 if an i-th element of the first f-dimensional GIST feature vector is larger than 0; and an i-th bit of the f-bit binary is 0 if an i-th element of the first f-dimensional GIST feature vector is not larger than 0.

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): 0.3318387432747167
- 35 USC 102 Novelty (BERT): 0.5561272540385113
- Combined Prediction Score: 0.3542675943510961
- Mean Citation Score: 211.695726
- Max Citation Score: 431.90457
- Similarity Product: 338.2803360739088

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