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 1):
A method comprising:\n detecting, by a processing system comprising a processor, from an image pair comprising a first image and a second image, a first distortion type associated with the first image and a second distortion type associated with the second image, wherein the image pair is received from a server; generating, by the processing system, a preference model according to the first distortion type and the second distortion type, wherein the preference model corresponds to a probability that the first image is preferred over the second image; and providing, by the processing system, the preference model to the server, wherein the server distributes media content to viewer equipment, and wherein the media content is assigned distortion effects utilizing a selected distortion based on the preference model.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 99.0
- Lexical Diversity: 2.5614
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14658746', '15345803', '14026072', '16027851', '10043714']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2978940921797175
- 35 USC 102 Novelty (BERT): 0.5176157079138483
- Combined Prediction Score: 0.3198662537531306
- Mean Citation Score: 223.4360708
- Max Citation Score: 310.9722
- Similarity Product: 253.9804430935621

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