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Lee Prangnell

University of Warwick

7 papers hereh-index 562 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.MM4
  • cs.CV1
  • cs.OH1
  • eess.IV1
affiliations
  • University of Warwick
Homepage
same name
  • Lee Prangnell — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedFrequency-Dependent Perceptual Quantisation for Visually Lossless Compression Applications

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.MMShow all

4 papers · 1 filter

cs.MM2020★ 1 cited

Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4:4:4 Data

Lee Prangnell, Victor Sanchez

Due to the spectral sensitivity phenomenon of the Human Visual System (HVS), the color channels of raw RGB 4:4:4 sequences contain significant psychovisual redundancies; these redu…

cs.MM2020

Spatiotemporal Adaptive Quantization for Video Compression Applications

Lee Prangnell

JCT-VC HEVC HM 16 includes a Coding Unit (CU) level adaptive Quantization Parameter (QP) technique named AdaptiveQP. It is designed to perceptually adjust the QP in Y, Cb and Cr Co…

cs.MM2019★ 1 cited

Frequency-Dependent Perceptual Quantisation for Visually Lossless Compression Applications

Lee Prangnell

The default quantisation algorithms in the state-of-the-art High Efficiency Video Coding (HEVC) standard, namely Uniform Reconstruction Quantisation (URQ) and Rate-Distortion Optim…

cs.MM2018

Coding Block-Level Perceptual Video Coding for 4:4:4 Data in HEVC

Lee Prangnell, Miguel Hernández-Cabronero, Victor Sanchez

There is an increasing consumer demand for high bit-depth 4:4:4 HD video data playback due to its superior perceptual visual quality compared with standard 8-bit subsampled 4:2:0 v…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.