PATENT CLAIM ANALYSIS

Application Number: 16237980
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["382", "181000"]

Abstract:
A system that incorporates teachings of the present disclosure may include, for example, sampling a variable effect distribution of viewing preference data to determine a first set of effects comprising a plurality of first distortion type effects associated with a first distortion type of a first image and to determine a second set of effects comprising a plurality of second distortion type effects associated with the second distortion type of a second image, calculating a preference estimate from a logistic regression model of the viewing preference data according to the first set of effects and the second set of effects, wherein the preference estimate comprises a probability that the first image is preferred over the second image, and selecting one of the first distortion type or the second distortion type according to the preference estimate. Other embodiments are disclosed.

Claim (Index 17):
The server of  claim 13 , wherein the operations further comprise:\n selecting a first distortion effect to generate the first image distortion to be applied to first media content according to a first severity value; and selecting a second distortion effect to generate the second image distortion to be applied to the first media content according to a second severity value, and wherein the first severity value is different from the second severity value.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 99.0
- Lexical Diversity: 2.5614
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14658746', '15345803', '14026072', '16027851', '10043714']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3234249733446439
- 35 USC 102 Novelty (BERT): 0.5190845062891671
- Combined Prediction Score: 0.3429909266390962
- Mean Citation Score: 223.4360708
- Max Citation Score: 310.9722
- Similarity Product: 259.4131466391205

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