Presentation 2009-09-10
Video/Audio Data Analysis on Streaming Delivery Services
Kenji SEKIYA, Takumi MIYOSHI,
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Abstract(in English) Video and audio streaming delivery services have recently increased as the Internet is getting high-speed and large capacity. In video and audio delivery services, the same data might be transmitted from the delivery source when two or more users simultaneously watch the same program. If the source transmits the same or similar data to multiple destinations, pseudo multicast technologies such as Xcast and μSEcast enable more efficient data delivery. It is thus necessary to analyze the transmitted data. In this paper, we measure streaming data of video and audio delivery services when several users watch the same program, and analyze the sameness and similarity of the data.
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Keyword(in English) data analysis / streaming / packet similarity / pseudo multicasting
Paper # CQ2009-27
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Committee CQ
Conference Date 2009/9/3(1days)
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Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Video/Audio Data Analysis on Streaming Delivery Services
Sub Title (in English)
Keyword(1) data analysis
Keyword(2) streaming
Keyword(3) packet similarity
Keyword(4) pseudo multicasting
1st Author's Name Kenji SEKIYA
1st Author's Affiliation Department of Electrical Engineering and Computer Science Graduate School of Engineering, Shibaura Institute of Technology()
2nd Author's Name Takumi MIYOSHI
2nd Author's Affiliation Department of Electronic Information Systems College of Systems Engineering and Science, Shibaura Institute of Technology:Department of Electrical Engineering and Computer Science Graduate School of Engineering, Shibaura Institute of Technology
Date 2009-09-10
Paper # CQ2009-27
Volume (vol) vol.109
Number (no) 191
Page pp.pp.-
#Pages 4
Date of Issue