PATENT CLAIM ANALYSIS

Application Number: 16117543
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["375", "240070"]

Abstract:
This invention can control a code amount while suppressing image quality degradation of a virtual view-point image. An image processing apparatus comprises a reception unit which receives encoded image data from an image capturing device of interest among a plurality of image capturing devices, a determination unit which determines, based on an index value of an image quality represented by encoded image data received in the past from the image capturing device of interest and the index value of an image quality represented by encoded image data transmitted by another image capturing device, a permissible range of a target image quality of a captured image, and a setting unit which sets, in an encoding unit of the image capturing device of interest, an encoding parameter according to an image quality in the determined permissible range.

Claim (Index 5):
The apparatus according to  claim 1 , wherein based on a total code amount of encoded image data obtained in encoding the previous captured images, the setting unit updates an index value which serves as a basis of an encoding parameter when encoding the previous captured images and sets the updated index value in the encoding unit as an initial index value of current encoding for each image capturing device.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 96.0
- Lexical Diversity: 2.34426
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15856327', '15810795', '14427931', '15414403', '14577792']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4818691710600485
- 35 USC 102 Novelty (BERT): 0.4830040048229269
- Combined Prediction Score: 0.4819826544363363
- Mean Citation Score: 166.21371399999995
- Max Citation Score: 195.65297
- Similarity Product: 145.15887372144346

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

Dataset: test