PATENT CLAIM ANALYSIS

Application Number: 15905611
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["348", "036000"]

Abstract:
Image mapping and processing methods, apparatuses and machine-readable media are disclosed. The methods include obtaining a panoramic video image, and demarcating the panoramic video image into a primary area and at least one ancillary area; determining a primary quantization parameter corresponding to the primary area, and an ancillary quantization parameter corresponding to the ancillary area, wherein the primary quantization parameter is smaller than the ancillary quantization parameter, with the quantization parameter being inversely proportional to an image quality; and encoding the primary area based on the primary quantization parameter, encoding the ancillary area based on the ancillary quantization parameter, and determining a coded panoramic video image.

Claim (Index 8):
The method of  claim 1 , wherein demarcating the panoramic video image into the primary area and the one or more ancillary areas comprises:\n selecting a corresponding viewing path as a target path of a viewing angle for the panoramic video image; and setting an area corresponding to the target path as the primary area, and setting areas other than the area corresponding to the target path as the one or more ancillary areas.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 2.4375
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15897095', '15414403', '15585224', '15334213', '15599838']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6269142007707911
- 35 USC 102 Novelty (BERT): 0.4851460569758301
- Combined Prediction Score: 0.612737386391295
- Mean Citation Score: 168.843426
- Max Citation Score: 185.6735
- Similarity Product: 129.9939691377282

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

Dataset: test