PATENT CLAIM ANALYSIS

Application Number: 15964534
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["375", "240120"]

Abstract:
Systems and methods provide learning video encoding in accordance with embodiments of the invention. In one embodiment, a method for encoding multimedia content includes receiving video data using a media server system, analyzing the video data to identify at least one piece of frame data using the media server system, providing the at least one piece of frame data to a machine learning classifier using the media server system, where the machine learning classifier receives predicts a set of characteristics of the video data based on the at least one piece of frame data, obtaining a set of encoding parameters from the machine learning classifier using the media server system, and encoding the video data based on the set of encoding parameters using the media server system.

Claim (Index 1):
A method for encoding multimedia content comprising:\n receiving video data using a media server system; analyzing the video data to identify at least one piece of frame data using the media server system; providing the at least one piece of frame data to a machine learning classifier using the media server system, where the machine learning classifier receives predicts a set of characteristics of the video data based on the at least one piece of frame data; obtaining a set of encoding parameters from the machine learning classifier using the media server system; and encoding the video data based on the set of encoding parameters using the media server system.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.64706
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13485609', '13931449', '15156126', '13830914', '13341265']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4380991642487023
- 35 USC 102 Novelty (BERT): 0.4947916143987855
- Combined Prediction Score: 0.4437684092637107
- Mean Citation Score: 212.355338
- Max Citation Score: 233.84648
- Similarity Product: 180.7836237037849

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

Dataset: test