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This paper also presents experiments using real video sequences to verify the proposed method.
Experimental results obtained from real video image data show the feasibility of the proposed approach.
Real video traces have been used to examine the video streaming performance.
To show the applicability of the proposed design flow, we present experimental results on two real video applications.
In this paper, we first analyze the main parameters affecting the visual quality of real video pictures.
M-VIVIE was tested on different kinds of real video clips to assess both its efficacy and efficiency.
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We tested our approach on both synthetic and real videos.
The efficacy of this architecture and its inherent limitations in the case of real videos are not known.
They will examine a range of recent news stories and research, write, produce and film Fake or for real videos.
We also tested the proposed algorithm on two real videos.
The real videos corresponding to the real audios are not part of the database.
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