Perceptual Quantizer
E772519
Perceptual Quantizer is a high-dynamic-range (HDR) electro-optical transfer function designed to closely match human visual perception of brightness for modern video and display systems.
All labels observed (2)
| Label | Occurrences |
|---|---|
| PQ (Perceptual Quantizer) | 1 |
| Perceptual Quantizer canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9030239 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perceptual Quantizer Context triple: [SMPTE ST 2084, alsoKnownAs, Perceptual Quantizer]
-
A.
Subband Codec
Subband Codec (SBC) is an audio compression format commonly used over Bluetooth for efficiently transmitting medium-quality stereo sound with relatively low computational complexity.
-
B.
Lloyd’s algorithm
Lloyd’s algorithm is an iterative clustering method that partitions data into k groups by repeatedly assigning points to the nearest cluster center and updating those centers to minimize within-cluster variance.
-
C.
Speex
Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
-
D.
Advanced Audio Coding
Advanced Audio Coding is a lossy digital audio compression format designed to provide better sound quality than MP3 at similar or lower bitrates and widely used in streaming, broadcasting, and multimedia applications.
-
E.
Context-Adaptive Binary Arithmetic Coding
Context-Adaptive Binary Arithmetic Coding (CABAC) is an advanced lossless entropy coding technique used in modern video compression standards to achieve high compression efficiency by modeling symbol probabilities with context.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perceptual Quantizer Target entity description: Perceptual Quantizer is a high-dynamic-range (HDR) electro-optical transfer function designed to closely match human visual perception of brightness for modern video and display systems.
-
A.
Subband Codec
Subband Codec (SBC) is an audio compression format commonly used over Bluetooth for efficiently transmitting medium-quality stereo sound with relatively low computational complexity.
-
B.
Lloyd’s algorithm
Lloyd’s algorithm is an iterative clustering method that partitions data into k groups by repeatedly assigning points to the nearest cluster center and updating those centers to minimize within-cluster variance.
-
C.
Speex
Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
-
D.
Advanced Audio Coding
Advanced Audio Coding is a lossy digital audio compression format designed to provide better sound quality than MP3 at similar or lower bitrates and widely used in streaming, broadcasting, and multimedia applications.
-
E.
Context-Adaptive Binary Arithmetic Coding
Context-Adaptive Binary Arithmetic Coding (CABAC) is an advanced lossless entropy coding technique used in modern video compression standards to achieve high compression efficiency by modeling symbol probabilities with context.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
electro-optical transfer function
ⓘ
high-dynamic-range standard ⓘ |
| abbreviation | PQ ⓘ |
| advantage |
efficient use of code values for HDR
ⓘ
reduced visible banding at high luminance ⓘ |
| alias | ST 2084 PQ curve NERFINISHED ⓘ |
| application |
HDR streaming services
ⓘ
cinema mastering ⓘ home HDR television ⓘ |
| assumes | reference viewing environment for HDR ⓘ |
| basedOn |
Barten contrast sensitivity function
NERFINISHED
ⓘ
human visual system contrast sensitivity ⓘ |
| characteristic |
absolute luminance encoding
ⓘ
perceptually uniform steps ⓘ |
| comparedWith | Hybrid Log-Gamma NERFINISHED ⓘ |
| definedInStandard | SMPTE ST 2084 NERFINISHED ⓘ |
| designedFor |
HDR display systems
ⓘ
HDR video systems ⓘ |
| developedFor |
modern flat-panel displays
ⓘ
projection HDR systems ⓘ |
| domain | electro-optical transfer ⓘ |
| field |
display technology
ⓘ
high-dynamic-range imaging ⓘ video technology ⓘ |
| governs | mapping from scene-referred signal to display-referred luminance ⓘ |
| influenced | design of HDR metadata and mastering practices ⓘ |
| luminanceRange | 0 cd/m² to 10000 cd/m² ⓘ |
| mapsFrom | normalized digital code values ⓘ |
| mapsTo | absolute display luminance ⓘ |
| mathematicalForm | logarithmic-like nonlinearity ⓘ |
| optimizedFor | just-noticeable differences in luminance ⓘ |
| purpose |
to define an HDR electro-optical transfer function
ⓘ
to model human visual perception of brightness ⓘ |
| relatedStandard |
ITU-R BT.2100
NERFINISHED
ⓘ
SMPTE ST 2086 NERFINISHED ⓘ |
| replaces | gamma-based SDR transfer functions in HDR workflows ⓘ |
| standardizedBy | SMPTE NERFINISHED ⓘ |
| supportsPeakLuminanceUpTo | 10000 cd/m² GENERATED ⓘ |
| transferType | non-linear transfer function ⓘ |
| usedIn |
Dolby Vision
NERFINISHED
ⓘ
HDR10 NERFINISHED ⓘ HLG-to-PQ conversion workflows ⓘ |
| usedWith |
10-bit video signals
ⓘ
12-bit video signals ⓘ |
| yearStandardized | 2014 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Perceptual Quantizer Description of subject: Perceptual Quantizer is a high-dynamic-range (HDR) electro-optical transfer function designed to closely match human visual perception of brightness for modern video and display systems.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
PQ (Perceptual Quantizer)