Intermediate description for multiple video adaptation
Video adaptation has been considered as a promising technique to tackle challenging problems in pervasive media applications. However, the style of video representation and description in current framework is too simple to accommodate diversified usages, especially for realtime application environment. In this paper, an intermediate video description termed intermedia is proposed, which is generated by off-line pre-processing the original video signal and includes abundant information of video content. On the basis of intermedia, a novel framework for video adaptation can be implemented to handle multiple video applications. The framework has low complexity operations not only in signal level, but also in structural level, and in joint level. Texture, motion and structural characteristic are included in intermedia, so that the framework can tackle a number of different adaptation applications, e.g., bit-rate conversion, temporal resolution reduction, video summarization browsing, and multi-dimensional adaptation. Experimental results demonstrate that intermedia can support multiple video adaptations rapidly while maintaining coding efficiency.