PATENT CLAIM ANALYSIS

Application Number: 16009316
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["348", "036000"]

Abstract:
An image processing apparatus obtains a first image, cuts out at least a portion of the first image to generate a second image that is distortion-corrected, receives designation of a first area in which image quality is to be different in the first image, calculates a second area in the second image, the second area corresponding to the first area designated in the first image, and sets, as an area associated with a function that influences encoding processing for encoding the second image, an area that includes the second area and is based on a processing unit of the encoding processing for encoding the second image, the processing unit being an area in the second image.

Claim (Index 9):
The image processing apparatus according to  claim 1 ,\n wherein the generating unit cuts out a plurality of portions from the first image to generate a plurality of the second images, and if the area associated with the function that influences the encoding processing is divided, and the divided areas are located separately in the plurality of second images, the setting unit bundles a smaller one of the divided areas and an area that is located within a predetermined distance from the smaller one of the divided areas into one area.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 94.0
- Lexical Diversity: 2.60417
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16009307', '15802677', '15183197', '14444275', '12201994']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6277224463704468
- 35 USC 102 Novelty (BERT): 0.5080514275347423
- Combined Prediction Score: 0.6157553444868764
- Mean Citation Score: 182.000306
- Max Citation Score: 288.35315
- Similarity Product: 224.32061739265023

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