PATENT CLAIM ANALYSIS

Application Number: 15762393
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["375", "240030"]

Abstract:
A QP offset value is calculated for a chroma component of a pixel in a picture of a video sequence based on a reference QP value and a factor that depends on a difference between a capture color space for the pixel and an encoded color space for the pixel. A QP value is then calculated for the chroma component based on the reference QP value reduced by the QP off-set value. The calculation of QP values for chroma components based on the factor that depends on the difference between capture and encoded color spaces improves the chroma quality in an efficient way in particular for HDR and WCG video.

Claim (Index 25):
An encoder for encoding a video sequence comprising a plurality of pictures, wherein each picture comprises a plurality of pixels and each pixel is associated with a luma component value and two subsampled chroma component values, wherein\n said encoder is configured to calculate, for a pixel in a picture of said video sequence, a residual based on a difference between a subsampled chroma component value and a predicted chroma component value; said encoder is configured to transform said residual into a frequency domain to obtain transform coefficients; said encoder comprises a device for calculating a quantization parameter (QP) value according to  claim 14 , said device is configured to calculate a QP value for said chroma component; and said encoder is configured to quantize said transform coefficients, wherein a level of quantization is determined by said QP value.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 2.35417
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14891821', '15426689', '15505509', '15202933', '14729486']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5325461562714836
- 35 USC 102 Novelty (BERT): 0.5195882037146604
- Combined Prediction Score: 0.5312503610158013
- Mean Citation Score: 308.141544
- Max Citation Score: 335.37326
- Similarity Product: 262.1413525608051

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