PATENT CLAIM ANALYSIS

Application Number: 16421096
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["386", "278000"]

Abstract:
Devices, systems, and methods for dynamically creating composite videos are disclosed. In one aspect a computerized method comprises receiving and playing multiple invitee recorded videos to create a seamless composite video.

Claim (Index 1):
A computer-implemented method for dynamically creating a composite video comprising:\n dynamically creating and playing a composite video in real-time on at least one of multiple invitee mobile computing device, wherein dynamically creating and playing the composite video comprises:\n receiving by the at least one invitee mobile computing device composite video customization data; \n receiving by the at least one invitee mobile computing device data indicating a video playback order from the server computing device; \n receiving by the at least one invitee mobile computing device invitee recorded videos individually from the server computing device; and \n playing on the at least one invitee mobile computing device the invitee recorded videos in an order based on the data indicating the video playback order; \n wherein the at least one invitee mobile computing device is configured to play the individual invitee recorded videos as a seamless composite video.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 1.2069
- Patent Class: 386.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15283912', '15148889', '14447424', '15077669', '14604248']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5503852149341465
- 35 USC 102 Novelty (BERT): 0.5821618346398063
- Combined Prediction Score: 0.5535628769047125
- Mean Citation Score: 275.50685400000003
- Max Citation Score: 477.1726
- Similarity Product: 443.3066372318625

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