Content-Based Frame Dropping in Optimized Strategy of Video adaptive Transmission
Sheng Hu · Computer Systems and Applications · 2014
According to user's preference to video content, a measurement for importance of video content with semantic event and exciting intensity is proposed. A multiple granularity of semantic content based frame dropping model in temporal domain is constructed. The video adaptive transmission strategy based on semantic frame dropping is designed. Results of the experiments indicate that the proposed strategy achieves much more improvement in network performance and semantic quality than traditional approach of frame-type based frame dropping.