Scalable video coding allows an efficient provision of video services at different quality levels with different energy demands.\r\nAccording to the specific type of service and network scenario, end users and/or operators may decide to choose among different\r\nenergy versus quality combinations. In order to deal with the resulting trade-off, in this paper we analyze the number of video\r\nlayers that are worth to be received taking into account the energy constraints. A single-objective optimization is proposed based\r\non dynamically selecting the number of layers, which is able to minimize the energy consumption with the constraint of a minimal\r\nquality threshold to be reached. However, this approach cannot reflect the fact that the same increment of energy consumption\r\nmay result in different increments of visual quality.Thus, amultiobjective optimization is proposed and a utility function is defined\r\nin order to weight the energy consumption and the visual quality criteria. Finally, since the optimization solving mechanism is\r\ncomputationally expensive to be implemented in mobile devices, a heuristic algorithm is proposed. This way, significant energy\r\nconsumption reduction will be achieved while keeping reasonable quality levels.
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