Our Content: Generative Montage Methods for Multimedia Data

Abstract

This paper presents the latest results from our project â¿¿Our Contentâ¿ 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 â¿¿generative websiteâ¿ where public audiences can post their own contents such as videos and then the website automatically generates meaningful sequences of videos.