Modeling the HEVC Encoding Energy Using the Encoder Processing Time
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2022
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| _version_ | 1866916419347677184 |
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| author | Ramasubbu, Geetha Kaup, André Herglotz, Christian |
| author_facet | Ramasubbu, Geetha Kaup, André Herglotz, Christian |
| contents | The global significance of energy consumption of video communication renders research on the energy need of video coding an important task. To do so, usually, a dedicated setup is needed that measures the energy of the encoding and decoding system. However, such measurements are costly and complex. To this end, this paper presents the results of an exhaustive measurement series using the x265 encoder implementation of HEVC and analyzes the relation between encoding time and encoding energy. Finally, we introduce a simple encoding energy estimation model which employs the encoding time of a lightweight encoding process to estimate the encoding energy of complex encoding configurations. The proposed model reaches a mean estimation error of 11.35% when averaged over all presets. The results from this work are useful when the encoding energy estimate is required to develop new energy-efficient video compression algorithms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2207_02676 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Modeling the HEVC Encoding Energy Using the Encoder Processing Time Ramasubbu, Geetha Kaup, André Herglotz, Christian Image and Video Processing The global significance of energy consumption of video communication renders research on the energy need of video coding an important task. To do so, usually, a dedicated setup is needed that measures the energy of the encoding and decoding system. However, such measurements are costly and complex. To this end, this paper presents the results of an exhaustive measurement series using the x265 encoder implementation of HEVC and analyzes the relation between encoding time and encoding energy. Finally, we introduce a simple encoding energy estimation model which employs the encoding time of a lightweight encoding process to estimate the encoding energy of complex encoding configurations. The proposed model reaches a mean estimation error of 11.35% when averaged over all presets. The results from this work are useful when the encoding energy estimate is required to develop new energy-efficient video compression algorithms. |
| title | Modeling the HEVC Encoding Energy Using the Encoder Processing Time |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2207.02676 |