PATENT CLAIM ANALYSIS

Application Number: 15880050
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["348", "053000"]

Abstract:
Disclosed is a method, device and system for determining stereoscopic multimedia information. The method includes: acquiring multimedia information collected by respective multimedia collection apparatuses of two or more aerial vehicles; and, determining corresponding stereoscopic multimedia information according to the acquired multimedia information. In the present disclosure, a same object is shot by respective loaded multimedia collection apparatuses of two or more aerial vehicles at different angles. In comparison with conventionally shooting a same object by a single unmanned aerial vehicle at a same angle, more stereoscopic multimedia information may be obtained, and a user is more likely to feel the stereoscopic impression of the multimedia information when viewing the multimedia information. In this way, both the visual enjoyment of the user and the user experience are improved.

Claim (Index 1):
A method for determining stereoscopic multimedia information, the method comprising:\n adjusting a baseline distance between a plurality of aerial vehicles based on a target object to be shot by the plurality of aerial vehicles, wherein the plurality of aerial vehicles includes a first aerial vehicle and a second aerial vehicle; acquiring multimedia information about the target object from the first and the second aerial vehicles with the adjusted baseline distance; and determining stereoscopic multimedia information based on the acquired plurality of multimedia information.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.0
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15622327', '15701041', '15834313', '15125509', '14978782']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5666689595009349
- 35 USC 102 Novelty (BERT): 0.4847201526517685
- Combined Prediction Score: 0.5584740788160183
- Mean Citation Score: 180.30663
- Max Citation Score: 191.94461
- Similarity Product: 143.47885957080842

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

Dataset: test