PATENT CLAIM ANALYSIS

Application Number: 15876011
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "284000"]

Abstract:
Systems and methods for providing convolutional neural network based image synthesis using localized loss functions is disclosed. A first image including desired content and a second image including a desired style are received. The images are analyzed to determine a local loss function. The first and second images are merged using the local loss function to generate an image that includes the desired content presented in the desired style. Similar processes can also be utilized to generate image hybrids and to perform on-model texture synthesis. In a number of embodiments, Condensed Feature Extraction Networks are also generated using a convolutional neural network previously trained to perform image classification, where the Condensed Feature Extraction Networks approximates intermediate neural activations of the convolutional neural network utilized during training.

Claim (Index 1):
A system for generating a synthesized image including desired content presented in a desired style comprising:\n one or more processors; memory readable by the one or more processors; and instructions stored in the memory that when read by the one or more processors direct the one or more processors to:\n receive a source content image that includes desired content for a synthesized image, \n receive a source style image that includes a desired texture for the synthesized image, \n determine a localized loss function for a pixel in at least one of the source content image and the source style image, and \n generate the synthesized image by:\n optimizing a value of a pixel in the synthesized image to a content loss function of a corresponding pixel in the content source image and a style loss function of a corresponding pixel in the source style image wherein at least one of the corresponding pixels is the pixel that has a determined localized loss function and one of the content loss function and the source loss function is the determined localized loss function.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 86.0
- Lexical Diversity: 1.86111
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15409321', '15488424', '15438147', '15273674', '15273695']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.316537331718606
- 35 USC 102 Novelty (BERT): 0.4686573242423872
- Combined Prediction Score: 0.3317493309709842
- Mean Citation Score: 156.50153400000005
- Max Citation Score: 164.94492
- Similarity Product: 124.72015300849914

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

Dataset: test