Semantic adaptation of synchronized multimedia streams in a format-independent way

Today, users often want to consume personalized versions of multimedia content (e.g., a selection of the most interesting video scenes). These user preferences can be fulfilled by performing semantic adaptations, which are typically guided by semantic metadata. In this paper, we discuss how high-level semantic adaptations along the temporal axis can be performed using format-independent adaptation engines. Further, the impact of semantic adaptations applied to synchronized multimedia streams (e.g., synchronized audio and video streams) is investigated. H.264/AVC and AAC are used to evaluate our proposed approach, which relies on a format-independent adaptation framework based on MPEG-B BSDL and STX.