摘要：
MPEG-4 AVC encoded video streams have been analyzed using video traces and statistical features have been extracted, in the context of supporting efficient deployment of networked and multimedia services. The statistical features include the number of scenes composing the video and the sizes of different types of frames, within the overall trace and each scene. Statistical processing has been performed upon the traces and subsequent fitting upon statistical distributions (Pareto and lognormal). Through the construction of a synthetic trace, based upon this analysis, our selections of statistical distribution have been verified. In addition, different types of content, in terms of level of activity (quantified as different scene change ratio) have been considered. Through modelling and fitting, the stability of the main statistical parameters has been verified as well as observations on the dependence of these parameters upon the video activity level.
摘要：
At present,there are some problems when video is played on virtual desktop protocol with partitioning mechanism,such as the video is not smooth and the bandwidth is highly occupied.In this paper,a Video Area Detection Algorithm (VRDA) was proposed based on virtual desktop protocol,called SPICE (Simple Protocol for Independent Computing Environment).Video regions were detected in the process of playing video on virtual desktop protocol,each of which was intercepted as a complete video frame,and decompressed by MPEG4 (Moving Pictures Experts Group-4) video compression algorithm instead of the original compression algorithm MJPEG (Motion JPEG) with lower efficiency.A evaluation metric named DAETD (Difference between Actual and Expected Display Time) was proposed to test the fluency of the improved SPICE,meanwhile,the bandwidth consumption of SPICE was also tested.The experimental results show that the proposed algorithm can improve the video fluency and reduce the network bandwidth consumption.%針對目前云桌面協(xié)議存在的因分塊機制引起協(xié)議視頻播放畫面不流暢、帶寬占用高等問題,在獨立計算環(huán)境簡單協(xié)議(SPICE)的基礎(chǔ)上提出了一種視頻區(qū)域偵測算法(VRDA).首先在云桌面協(xié)議播放視頻的過程中偵測識別視頻播放區(qū)域,然后截取視頻播放區(qū)域的圖像為一塊完整的視頻幀進行處理,最后使用動態(tài)圖像專家組視頻壓縮標(biāo)準(zhǔn)(MPEG4)視頻壓縮算法替換原壓縮效率不高的運動靜止圖像壓縮技術(shù)(MJPEG)壓縮解壓視頻幀;同時,提出幀期望與實際顯示時間差(DAETD)指標(biāo)作為實驗評價指標(biāo),來驗證改進后SPICE的視頻播放流暢度,并測試帶寬占用情況.實驗表明,所提算法有效提高了視頻流暢度,減少了網(wǎng)絡(luò)帶寬占用.
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