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Computational Resource Management for Video Coding in Mobile Environments

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Resource Management in Mobile Computing Environments

Part of the book series: Modeling and Optimization in Science and Technologies ((MOST,volume 3))

Abstract

The increase of computational resources in mobile devices and the availability of reliable communication infrastructures provide support for acquisition, display, coding/decoding and transmission of high-resolution video in a broad set of equipment such as tablets and smartphones. Nevertheless, real-time video encoding and decoding is still a challenge in such computing environments, especially when considering the amount of computational resources required by state-of-the-art video coding standards. Moreover, battery technologies did not evolve as much as desired, which makes power consumption minimization an important issue for the mobile devices industry and users. Therefore, in current mobile systems, the available computational resources along with battery-life are responsible for imposing significant limitations on mobile real-time multimedia communications. This chapter presents an overview of the state-of-the-art research on management of computational resources for video encoding systems in mobile communications equipment. A review on computational complexity analysis of both H.264/AVC and HEVC video coding standards is presented, followed by a description of current methods for modelling, reducing and controlling the expenditure of computational resources on these video codecs. Finally, future trends on computational complexity management for video codecs implemented on power-constrained devices are lined out.

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Authors and Affiliations

  1. Instituto de Telecomunicações, University of Coimbra, Coimbra, Portugal

    Guilherme Correa & Luis A. da Silva Cruz

  2. Instituto de Telecomunicações, Polytechnic Institute of Leiria, Leiria, Portugal

    Pedro Assuncao

  3. GACI, Federal University of Pelotas, Pelotas, Brazil

    Luciano Agostini

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  1. Guilherme Correa
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  3. Luciano Agostini
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  4. Luis A. da Silva Cruz
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Correa, G., Assuncao, P., Agostini, L., da Silva Cruz, L.A. (2014). Computational Resource Management for Video Coding in Mobile Environments. In: Resource Management in Mobile Computing Environments. Modeling and Optimization in Science and Technologies, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-06704-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-06704-9_24

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