PATENT CLAIM ANALYSIS

Application Number: 15761425
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["375", "240260"]

Abstract:
Systems, methods, and instrumentalities are disclosed for inverse shaping for high dynamic range (HDR) video coding. A video coding device, e.g., such as a decoder, may determine a plurality of pivot points associated with a plurality of piecewise segments of an inverse reshaping model. The plurality of pivot points may be determined based on an indication received via a message. Each piecewise segment may be defined by a plurality of coefficients. The video coding device may receive an indication of a first subset of coefficients associated with the plurality of piecewise segments. The video coding device may calculate a second subset of coefficients based on the first subset of coefficients and the plurality of pivot points. The video coding device may generate an inverse reshaping model using one or more of the plurality of pivot points, the first subset of coefficients, and the second subset of coefficients.

Claim (Index 4):
The method of  claim 3 , wherein the second subset of coefficients comprises a plurality of slope coefficients associated with the remaining piecewise segments of the plurality of piecewise segments and a plurality of curvature coefficients.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 2.54688
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15748095', '15274442', '15274710', '15580246', '15293199']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.449526145001734
- 35 USC 102 Novelty (BERT): 0.5147928888396317
- Combined Prediction Score: 0.4560528193855238
- Mean Citation Score: 207.747716
- Max Citation Score: 224.91074
- Similarity Product: 134.44507525612116

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

Dataset: test