PATENT CLAIM ANALYSIS

Application Number: 15985604
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["345", "008000"]

Abstract:
In one embodiment, a computing system may access one or more frames of media content with each frame corresponding to at least part of an image. The computing system may automatically detect at least one object in at least one of the one or more frames. The computing system may automatically identify the at least one object. For each of the identified objects, the computing system may automatically determine an annotation corresponding to that object and each annotation may include one or more graphical elements. For each annotation, the computing system may automatically associate that annotation for display with its corresponding object.

Claim (Index 1):
A method comprising, by a computing system:\n accessing one or more frames of media content, each frame corresponding to at least part of an image; automatically detecting at least one object in at least one of the one or more frames; automatically identifying the at least one object; for each of the identified objects, automatically determining an annotation corresponding to that object, wherein each annotation comprises one or more graphical elements; and for each annotation, automatically associating that annotation for display with its corresponding object.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.34043
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13063724', '15090888', '15091207', '15137981', '15924144']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5761146210483167
- 35 USC 102 Novelty (BERT): 0.4802245394540465
- Combined Prediction Score: 0.5665256128888896
- Mean Citation Score: 152.47373199999996
- Max Citation Score: 162.28842
- Similarity Product: 117.51535578184247

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