PATENT CLAIM ANALYSIS

Application Number: 15879343
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "156000"]

Abstract:
Efficient image processing systems and methods for image scene classification and similarity matching are disclosed. The image processing systems encompassed by this disclosure use a deep convolutional neural network to facilitate scene classification by recognizing the context of an image and thereby enabling searches for similar images. These methods and systems are scalable to a large set of images and achieve a higher performance compared to the current state of the art techniques.

Claim (Index 15):
The system of  claim 14  further comprising a central database storing the set of images in the form of plurality of image segments, wherein each segment is stored in a hash table.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 86.0
- Lexical Diversity: 1.55102
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15172139', '14829593', '13438395', '12372561', '13458183']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2802844316449638
- 35 USC 102 Novelty (BERT): 0.5294564147293656
- Combined Prediction Score: 0.305201629953404
- Mean Citation Score: 214.686322
- Max Citation Score: 309.49997
- Similarity Product: 177.80667032876076

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

Dataset: test