CAJ | 학술논문

根据用户对视频内容的个性化偏好，提出结合语义事件与精彩度的视频内容分级方法，构建时域内基于多粒度语义内容的统一丢帧模型，在 RTP/RTSP 流媒体服务器中基于语义丢帧算法设计了视频自适应传输优化策略。实验结果表明，本文提出的基于内容的丢帧策略在网络性能、语义质量等方面优于传统基于帧类型的丢帧策略。
근거용호대시빈내용적개성화편호，제출결합어의사건여정채도적시빈내용분급방법，구건시역내기우다립도어의내용적통일주정모형，재 RTP/RTSP 류매체복무기중기우어의주정산법설계료시빈자괄응전수우화책략。실험결과표명，본문제출적기우내용적주정책략재망락성능、어의질량등방면우우전통기우정류형적주정책략。
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.