Audio and Image Browser for Mobile Devices

Abstract

Users expect efficient ways of handling their personal audio and image data using only the mobile device. Data sharing with friends and interest groups is also becoming increasingly important. Browsing and manually searching through your own and a shared data library can be difficult. For example, the simplest traditional attributes like time and date are normally unknown for other people's data. In this paper a search application running on mobile device is described. The application relies on automatic content analysis and metadata generation for audio and image data. Two search paradigms - class based search and example based search - are supported. In mobile devices the small display size makes it difficult to handle large amounts of information quickly. For this reason efficient metadata visualization is important. In our system the content metadata is converted into visual form that is fast to browse through at one glance.