Semantic Quality for Content-Aware Video Adaptation

Recently, the concept of semantic transcoding has been introduced. However, there is little research on semantic quality measure to quantitatively guide and evaluate semantic transcoding. In this paper, we present a framework to formulate the semantic quality of an adapted video compared to the original one. Both original video and adapted video are represented by conceptual graphs, and then the similarities between the graphs are used to compute the overall semantic quality. Moreover, the dependence of quality on context is also discussed