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In-vehicle active sound quality control (ASQC) system is an advanced application of active noise control (ANC) technology, which always suppresses the interior sound pressure or improves the psychoacoustic features. However, the connection between the sound quality control state and the vehicle’s working state is normally ignored. The passenger’s sound perception typically expects a linear relationship between the vehicle speed and sound loudness. Therefore, this paper presents a dual sampling-rate active noise equalization algorithm. The low sampling-rate signal is used to improve system computing efficiency, the high sampling-rate signal is used to improve the ASQC effect. Their conversion communication uses a zero-order hold (low to high) and a re-sampler (high to low). The data relating to the ASQC system was collected, and some sound quality evaluations were conducted for determining two appropriate samplingrate values. Combining a genetic algorithm and the corresponding ASQC simulation system, the algorithmic optimal gain coefficients were further determined at different engine speeds. The verification results of ASQC using this proposed algorithm show that the sound quality of interior noise is effectively suppressed; the nonlinear index is reduced to 1.33, improving by 37% relative to the original noise and by 20% compared to the ANC system. [ABSTRACT FROM AUTHOR]

An advanced mobile Web TV platform, called ePlayer, is presented. The ePlayer allows mobile phone users to personalise live sports events viewing experience. The platform features automatic video content annotation, user preference matching to video content and dynamic adaptation to the end user environment (including terminal and network capabilities). The platform, together with critical modules, supporting heterogeneous network infrastructures is described. ePlayer is the result of the EU funded research project My-eDirector 2012 and endeavours to provide a unique technology showcase for the coverage of major athletic events with concurrent events and multitudes of cameras. [ABSTRACT FROM PUBLISHER]

An event user task modelling methodology for personalising interactive video streaming is defined. This methodology facilitates the creation of interactive user tasks initiated via prospective user interfaces across heterogeneous video streaming access devices. The novelty of the method is threefold: its independence from specific user terminals; facilitates HCI usability testing and user tasks can be personalised. [ABSTRACT FROM PUBLISHER]