Extending Video Decoding Energy Models for 360{\deg} and HDR Video Formats in HEVC

TL;DR

This paper extends existing video decoding energy models to accurately estimate energy consumption for 360° and HDR formats in HEVC, demonstrating low estimation error across formats and highlighting the impact of bit depth on energy demand.

Contribution

It introduces a new energy estimation model for HEVC video formats like 360°, HDR, and fisheye, with improved accuracy over previous models.

Findings

Estimation error below 3.88% for new formats.

Decoding energy for 10-bit is 55% higher than 8-bit.

Models work with same coding bit depth across formats.

Abstract

Research has shown that decoder energy models are helpful tools for improving the energy efficiency in video playback applications. For example, an accurate feature-based bit stream model can reduce the energy consumption of the decoding process. However, until now only sequences of the SDR video format were investigated. Therefore, this paper shows that the decoding energy of HEVC-coded bit streams can be estimated precisely for different video formats and coding bit depths. Therefore, we compare a state-of-the-art model from the literature with a proposed model. We show that bit streams of the 360{\deg}, HDR, and fisheye video format can be estimated with a mean estimation error lower than 3.88% if the setups have the same coding bit depth. Furthermore, it is shown that on average, the energy demand for the decoding of bit streams with a bit depth of 10-bit is 55% higher than with 8-bit.