PATENT CLAIM ANALYSIS

Application Number: 15749231
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["375", "240030"]

Abstract:
In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

Claim (Index 2):
The method of  claim 1 , further comprising:\n computing ( 610 ) first saturation values of the images in the database in the first color space; transforming the images in the database into the second color space to generate transformed images; applying ( 640 ) the color-rotation matrix to the transformed images to generate color-rotated images; computing ( 645 ) second saturation values of the color-rotated images; computing ( 630 ) a saturation scaler based on minimizing a saturation cost function, wherein the saturation cost function is based on a difference measure of the first saturation values and scaled second hue values; and generating a scaling vector based on the saturation scaler;

Metadata:
- Claim Count in Document: 22.0
- Percentile: 86.0
- Lexical Diversity: 1.97436
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15564185', '16087241', '15513928', '14767249', '15745647']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5409242517952867
- 35 USC 102 Novelty (BERT): 0.5360412528763644
- Combined Prediction Score: 0.5404359519033944
- Mean Citation Score: 343.418008
- Max Citation Score: 391.07782
- Similarity Product: 257.4834685172629

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