PATENT CLAIM ANALYSIS

Application Number: 16114059
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["382", "201000"]

Abstract:
In one embodiment, a method includes accessing a video-content object, determining a first feature vector representing the video-content object using a first recognition module of a first type based on an object in the video-content object, and determining a second feature vector representing the video-content object using a second recognition module of a second type based on the first feature vector. The first type is different from the second type. The method also includes determining a context of the video-content object based on the second feature vector.

Claim (Index 7):
The method of  claim 1 , further comprising:\n by one or more computing devices, determining a third feature vector representing the video-content object using a third recognition module of a third type based on at least one of the first feature vector and the second feature vector, wherein the third type is different from the first and second types; and by one or more computing devices, determining a context of the video-content object based on the third feature vector.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 96.0
- Lexical Diversity: 2.73529
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15395511', '15430960', '15855290', '15148724', '14983321']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3320949818936283
- 35 USC 102 Novelty (BERT): 0.5134322876703015
- Combined Prediction Score: 0.3502287124712956
- Mean Citation Score: 204.740372
- Max Citation Score: 304.94055
- Similarity Product: 221.411016555664

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