PATENT CLAIM ANALYSIS

Application Number: 15879901
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["381", "310000"]

Abstract:
A method for processing a virtual reality (VR) audio and a corresponding equipment are provided. The method includes acquiring, by a transmitting terminal of a VR audio, an ambisonics signal rotation angle, wherein the ambisonics signal rotation angle is determined according to a first equipment rotation angle corresponding to a receiving terminal of the VR audio, rotating an ambisonics signal according to the acquired ambisonics signal rotation angle, and/or, acquiring, by the transmitting terminal of the VR audio, an order of a mixed order ambisonics (MOA) signal determined according to related information of the VR audio, and extracting an MOA signal from the ambisonics signal according to the order of the MOA signal. Accordingly, an ambisonics signal rotation angle according to a rotation angle of an equipment is determined, the rotation occurs, and an MOA signal is extracted.

Claim (Index 11):
A method for processing a virtual reality (VR) audio, characterized in that, comprising the steps of:\n acquiring, by a receiving terminal of a VR audio, a corresponding first equipment rotation angle; transmitting the acquired first equipment rotation angle to a transmitting terminal of the VR audio; and/or predicting a second equipment rotation angle according to the corresponding first equipment rotation angle and current network delay information, and transmitting the second equipment rotation angle to the transmitting terminal of the VR audio.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 86.0
- Lexical Diversity: 3.07843
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14849185', '15222146', '13786857', '13883094', '13142822']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6783946245329749
- 35 USC 102 Novelty (BERT): 0.4718034459724667
- Combined Prediction Score: 0.6577355066769242
- Mean Citation Score: 176.80771199999995
- Max Citation Score: 187.77281
- Similarity Product: 148.18326328751445

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

Dataset: test