Content based photograph slide show with incidental music
暂无分享,去创建一个
In this paper, we proposed a new scheme to generate photograph slide show with incidental music based on the content of the photographs and music. Unlike existing photograph slide show software, which show the photographs one by one (perhaps with some fancy transition effects) with music in the background, our algorithm utilizes content analysis of the photographs and the incidental music. Firstly, low-quality photographs, such as blurred or under exposed, are filtered out by a photograph quality detector; and the rest of the photographs are grouped into a three-layer construction, namely, day, scene, and group of similar photographs (GoS). Incidental music is segmented based on its beats, and then aligned with photographs, which makes the photograph transitions occur at the beat position of the music. Various transition effects and transformation effects are applied based on the structure and content of the photographs. According to different users' preferences, several editing styles are also supported in our algorithm. The experimental results are very impressive according to the user study.
[1] J. C. Platt. AutoAlbum: clustering digital photographs using probabilistic model merging , 2000, 2000 Proceedings Workshop on Content-based Access of Image and Video Libraries.
[2] Eric D. Scheirer,et al. Tempo and beat analysis of acoustic musical signals. , 1998, The Journal of the Acoustical Society of America.
[3] M. Cannon. Blind deconvolution of spatially invariant image blurs with phase , 1976 .