A Survey on Approximate Computing and Storage Techniques Applied to Video Coding Systems
Video coding standards are the key enablers of recent video applications, such as video conferencing, video on demand, and immersive video. The recent standards have become more efficient in compressing such video data with higher quality for the user over the years. However, the computational effort of video encoders has also increased due to the new coding tools and the support of higher video resolutions and frame rates. The design of dedicated hardware accelerators, associated with approximate computing and storage techniques, has been used today to deal with such an increase in the computational effort and memory requirements needed to implement recent video encoders. This survey article reviews state-of-the-art works that propose approximate computing and storage techniques and apply them to video coding systems.
Authors
- Mateus Grellert (ORCID: https://orcid.org/0000-0003-0600-7054)
- Cláudio Diniz (ORCID: https://orcid.org/0000-0002-5019-3715)
- Sérgio Bampi (ORCID: https://orcid.org/0000-0002-9018-6309)
- Felipe Sampaio (ORCID: https://orcid.org/0000-0002-5700-2221)
Institutions
- Universidade Federal do Rio Grande do Sul (BR)
- Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (BR)
Publication Details
- Journal
- Journal of Integrated Circuits and Systems
- Published
- 2024-12-23
- DOI
- https://doi.org/10.29292/jics.v19i3.940
- Citations
- 2
- Primary Topic
- Error Correcting Code Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul