PATENT CLAIM ANALYSIS

Application Number: 15893597
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-12
Patent Classification: ["348", "239000"]

Abstract:
Embodiments of the present disclosure provide an image blurring method, an electronic device, and a computer device. The method includes obtaining an image to be processed and physical distance information corresponding to each pixel in the image; detecting a first area comprising a part of a photographed object in the image, obtaining physical distance information corresponding to a second area comprising the photographed object and obtaining physical distance information corresponding to a third area other than the second area in the image according to the physical distance information corresponding to each pixel and the first area; obtaining a blur parameter corresponding to the third area according to the physical distance information corresponding to the second area and the physical distance information corresponding to the third area; and performing a blurring processing on the third area according to the blur parameter.

Claim (Index 4):
The image blurring method according to  claim 3 , wherein obtaining color information of the image area, and obtaining the second area in the image according to the color information comprises:\n obtaining color components of the image area, and obtaining an area having color components within a preset range in the image area as the second area.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 88.0
- Lexical Diversity: 3.08333
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14611775', '09476910', '14164520', '15507080', '15814791']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6456578395386179
- 35 USC 102 Novelty (BERT): 0.4830644660992879
- Combined Prediction Score: 0.6293985021946849
- Mean Citation Score: 192.985354
- Max Citation Score: 204.08318
- Similarity Product: 153.2398743807995

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