Transactions on Computational Science XIX

Volume 7870 of the series Lecture Notes in Computer Science pp 48-62

Audio-Adaptive Animation from Still Image

  • Konstantin KryzhanovskyAffiliated withSamsung Moscow Research Center
  • , Aleksey Vil’kinAffiliated withSamsung Moscow Research Center
  • , Ilia SafonovAffiliated withSamsung Moscow Research Center
  • , Zoya PushchinaAffiliated withSamsung Moscow Research Center

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In this paper we propose new approach of automatic generating real time content adaptive animation effects from the still images adapted for the low-powerful embedded HW platforms. Displayed animation behaves uniquely each time it’s played back, and does not repeat itself during playback duration, creating vivid and lively impression for the viewer. Adaptation of the effect parameters according to background audio greatly increases aesthetic impression of the viewer. Three animation effects such as Flashing Light, Soap Bubbles and Sunlight Spot are described in details. We propose several ways of controlling the effect parameters by music. User opinion survey demonstrates that majority of users are excited by such effects and wants to see them in their devices with multimedia capability.


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