PATENT CLAIM ANALYSIS

Application Number: 16237833
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["348", "222100"]

Abstract:
A method and a device for generating a blurred image, and a mobile terminal are provided. The method includes the followings. According to preview image data acquired via two rear cameras of a dual-camera device, first depth-of-field information for a foreground region and second depth-of-field information for a background region in a current preview image are determined. In addition, a basic value of a blurring degree is acquired according to the first depth-of-field information and the second depth-of-field information. Furthermore, Gaussian blur process is performed on the background region according to the basic value of the blurring degree to generate the blurred image.

Claim (Index 5):
The method according to  claim 2 , wherein determining the first depth-of-field for the foreground region in the current preview image according to the third average value of the third depth-of-field information for the in-focused region and the predetermined adjustment value comprises:\n adding the predetermined adjustment value to the third average value to obtain an upper limit of a depth-of-field range; subtracting the predetermined adjustment value from the third average value to obtain a lower limit of a depth-of-field range; and determining depth-of-field information between the upper limit of the depth-of-field range and the lower limit of the depth-of-field range as the first depth-of-field information for the foreground region in the current preview image.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 99.0
- Lexical Diversity: 2.03636
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16070531', '15522428', '15941773', '15685136', '14523580']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6537355645774668
- 35 USC 102 Novelty (BERT): 0.5227142226614291
- Combined Prediction Score: 0.6406334303858631
- Mean Citation Score: 211.092294
- Max Citation Score: 341.37543
- Similarity Product: 337.99165091331656

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