A Framework for Semantic Video Transcoding
نویسندگان
چکیده
Abstract. In this work we present a transcoding framework and an object-based technique to adapt live and stored videos to the user bandwidth and resources capabilities. Multiple transcoding policies are reviewed and a performance evaluation metric based on the Weighted Mean Square Error that allows different classes of relevance is presented. We present results for different transcoding policies and for different bandwidth requirements, showing that the use of semantic can improve the bandwidth to distortion ratio.
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تاریخ انتشار 2002