Audio-Adaptive Animation from Still Image

  • Konstantin Kryzhanovsky
  • Aleksey Vil’kin
  • Ilia Safonov
  • Zoya Pushchina
Conference paper

DOI: 10.1007/978-3-642-39759-2_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7870)
Cite this paper as:
Kryzhanovsky K., Vil’kin A., Safonov I., Pushchina Z. (2013) Audio-Adaptive Animation from Still Image. In: Gavrilova M.L., Tan C.J.K., Konushin A. (eds) Transactions on Computational Science XIX. Lecture Notes in Computer Science, vol 7870. Springer, Berlin, Heidelberg

Abstract

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.

Keywords

animation from photo audio-adaptive effect multimedia slideshow attention zones detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Konstantin Kryzhanovsky
    • 1
  • Aleksey Vil’kin
    • 1
  • Ilia Safonov
    • 1
  • Zoya Pushchina
    • 1
  1. 1.Samsung Moscow Research CenterMoscowRussia

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