TU2.R5.1

Rate-Distortion-Perception Tradeoff for Lossy Compression Using Conditional Perception Measure

Sadaf Salehkalaibar, University of Toronto, Canada; Jun Chen, McMaster University, Canada; Ashish Khisti, Wei Yu, University of Toronto, Canada
Session:
Rate-distortion-perception
Track:
10: Source Coding and Data Compression
Location:
Omikron I
Presentation Time:
Tue, 9 Jul, 11:30 - 11:50
Session Chair:
Yasutada Oohama, University of Electro-Communications
Presentation
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Session TU2.R5
TU2.R5.1: Rate-Distortion-Perception Tradeoff for Lossy Compression Using Conditional Perception Measure
Sadaf Salehkalaibar, University of Toronto, Canada; Jun Chen, McMaster University, Canada; Ashish Khisti, Wei Yu, University of Toronto, Canada
TU2.R5.2: Computation of the Multivariate Gaussian Rate-Distortion-Perception Function
Giuseppe Serra, Photios A. Stavrou, Marios Kountouris, EURECOM, France
TU2.R5.3: The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
Yassine Hamdi, Imperial College London, United Kingdom; Aaron B. Wagner, Cornell University, United States; Deniz Gündüz, Imperial College London, United Kingdom
TU2.R5.4: Copula-based Estimation of Continuous Sources for a Class of Constrained Rate-Distortion Functions
Giuseppe Serra, Photios A. Stavrou, Marios Kountouris, EURECOM, France
Resources
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