Lecture: Perceptually-Aware Per-Title Encoding for Adaptive Video Streaming
Master data
Title: | Perceptually-Aware Per-Title Encoding for Adaptive Video Streaming |
Description: | In live streaming applications, a fixed set of bitrate-resolution pairs (known as bitrate ladder) is used for simplicity and efficiency to avoid the additional encoding run-time required to find optimum resolution-bitrate pairs for every video content. However, an optimized bitrate ladder may result in (i) decreased storage or delivery costs or/and (ii) increased Quality of Experience (QoE). This paper introduces a perceptually-aware per-title encoding (PPTE) scheme for video streaming applications. In this scheme, optimized bitrate-resolution pairs are predicted online based on Just Noticeable Difference (JND) in quality perception to avoid adding perceptually similar representations in the bitrate ladder. To this end, Discrete Cosine Transform (DCT)-energy-based low-complexity spatial and temporal features for each video segment are used. Experimental results show that, on average, PPTE yields bitrate savings of 16.47% and 27.02% to maintain the same PSNR and VMAF, respectively, compared to the reference HTTP Live Streaming (HLS) bitrate ladder without any noticeable additional latency in streaming accompanied by a 30.69% cumulative decrease in storage space for various representations. |
Keywords: |
Type: | Registered lecture |
Homepage: | https://2022.ieeeicme.org/ |
Event: | IEEE International Conference on Multimedia and Expo (IEEE ICME 2022) (Taipei) |
Date: | 19.07.2022 |
lecture status: | stattgefunden (online) |
Participants
Vignesh Menon (internal) |
|
Hadi Amirpourazarian (internal) |
|
Mohammad Ghanbari (internal) |
|
Christian Timmerer (internal) |
|
Assignment
Organisation | Address | ||||
---|---|---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
|
AT - 9020 Klagenfurt am Wörthersee |
Categorisation
Subject areas | |
Research Cluster | No research Research Cluster selected |
Focus of lecture |
Classification raster of the assigned organisational units:
|
Group of participants |
|
Published? |
|
working groups |
|
Cooperations
Research activities
Projects |
|
Publications |
|
Events |
|
Lectures | No related lectures |