Our Content: Generative Montage Methods for Multimedia Data

This paper presents the latest results from our project ldquoour contentrdquo which aims to develop systems that generate meaningful sequences of information out of existing information. The our content engine is rather like an automated editor that generates meaningful output by combining the content provided by audiences in an interesting and stimulating way. We explain the developed algorithm and an application ldquogenerative Web siterdquo where public audiences can post their own contents such as videos and then the Web site automatically generates meaningful sequences of videos.