PATENT CLAIM ANALYSIS

Application Number: 15938158
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["375", "240120"]

Abstract:
Techniques are disclosed for coding and decoding video data using object recognition and object modeling as a basis of coding and error recovery. A video decoder may decode coded video data received from a channel. The video decoder may perform object recognition on decoded video data obtained therefrom, and, when an object is recognized in the decoded video data, the video decoder may generate a model representing the recognized object. It may store data representing the model locally. The video decoder may communicate the model data to an encoder, which may form a basis of error mitigation and recovery. The video decoder also may monitor deviation patterns in the object model and associated patterns in audio content; if/when video decoding is suspended due to operational errors, the video decoder may generate simulated video data by analyzing audio data received during the suspension period and developing video data from the data model and deviation(s) associated with patterns detected from the audio data.

Claim (Index 12):
The system of  claim 11 , further comprising:\n an audio decoder, having an output for decoded audio data, a phoneme analyzer, having an input for the decoded audio data and an output for data representing phonemes detected from the audio data, a correlation detector, having a first input coupled to an output of the object modeler and a second input coupled to an output of the phoneme analyzer, the correlation detector having an output, coupled to the storage device, for data representing deviations of the object model from a rest position and the phonemes to which they are correlated.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.25641
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15888559', '13463547', '14687316', '15796313', '13631793']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4801959739378106
- 35 USC 102 Novelty (BERT): 0.5003553093108197
- Combined Prediction Score: 0.4822119074751115
- Mean Citation Score: 213.104496
- Max Citation Score: 223.78583
- Similarity Product: 142.6986780590087

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