| Music visualization is based on visual core,music as the carrier,showing the "combination of audio-visual" a variety of artistic expression.Although the exploration of music visualization has existed for a long time,with the advent of the era of reading pictures,from the early windows media player to now the endless development of visual music player can be seen: the visual trend created music to the Graphical transformation of the era.Can be predicted that the future of music visualization will be the pursuit of the perfect audio-visual experience,one of the important means.But through the survey found that the current degree of visual music is uneven,whether in the context of the current era,through the literature and existing works in the audio-visual synaesthesia conversion analysis,scientific audio-visual elements of the conversion relationship between the summed up,As well as the visualization of the high degree of music types of visual expression techniques to research,summed up some of the music visual graphics generation rules,will be applied to the music player interface,mobile applications become more common today,from the application side to improve this The degree of music visualization,and ultimately to enrich people’s understanding of the purpose of abstract music.This paper tries to explore the expression means and laws of music in visual language,starting from the study of the conversion between visual and auditory sense in synaesthesia.By the theory guide practice,through the questionnaire,the literature analysis and the example analysis summed up the music visual graph generation rule,found the new music visualization graph design thought and the inspiration.From the visual point of view to feel the music rhythm and mood,music player application interface to explore the visualization of the new possibilities.The intention of visual thinking is to establish the multidimensional cognition of music and try to help the people to better understand the abstract music and enhance the richness of music cognition. |