PATENT CLAIM ANALYSIS

Application Number: 16104755
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-08
Patent Classification: ["386", "232000"]

Abstract:
The disclosure is directed to transforming signals from one signal format to another signal format. For example, the format of a digital signal can change from storing video information in 12 bits of data to storing the video information in 32 bits of data. Other storage values and combinations can also be used. Since the number of bits available to store a portion of the video information can change when changing formats, a process is needed to translate or transform the video information appropriately. A transfer function utilizing a lookup table is used for the transforming. The lookup table utilizes a variable step size segmentation scheme that decreases the amount of lookup table storage space required and also decreases the number of estimation errors, i.e., interpolation errors. Estimation errors can occur when looking up a value not stored in the lookup table, and using neighboring values that are stored to estimate the value requested. In some applications, the log 2  step size or total size values can be stored in the lookup table to further reduce the amount of storage space required. A video parameter, such as the type of video content and the display room ambiance, can also be used to select the balance between further decreasing the size of the lookup table and further decreasing the estimation errors.

Claim (Index 2):
The method as recited in  claim 1 , wherein said transfer function is one of a high dynamic range (HDR) electro-optical transfer function (EOTF), a HDR optical-electro transfer function (OETF), electrical to electrical transfer function (EETF), optical to optical transfer function (OOTF), or inverse EOTF.

Metadata:
- Claim Count in Document: 60.0
- Percentile: 96.0
- Lexical Diversity: 2.23585
- Patent Class: 386.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16072226', '16312251', '15293199', '14903630', '11454689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5463508886582997
- 35 USC 102 Novelty (BERT): 0.4965419789717378
- Combined Prediction Score: 0.5413699976896436
- Mean Citation Score: 158.031912
- Max Citation Score: 193.39694
- Similarity Product: 127.22809575811148

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

Dataset: test