A Survey of Current YouTube Video Characteristics

被引：52

作者：

Che, Xianhui ^{[1
]}

Ip, Barry ^{[2
]}

Lin, Ling ^{[3
]}

机构：

[1] Univ Nottingham Ningbo, Dept Elect & Elect Engn, Ningbo, Zhejiang, Peoples R China

[2] Univ Nottingham Ningbo, Sch Int Commun, Ningbo, Zhejiang, Peoples R China

[3] Ningbo Xiangshan Elevator Components Ltd, Ningbo, Zhejiang, Peoples R China

来源：

IEEE MULTIMEDIA | 2015年 / 22卷 / 02期

关键词：

data analysis; multimedia; network engineering; networking; online video; traffic analysis; YouTube;

D O I：

10.1109/MMUL.2015.34

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Given the impact of YouTube on Internet services and social networks, a healthy quantity of research has been conducted over the past few years. The majority of studies on traffic capture and evaluation were carried out prior to Google's acquisition of YouTube in 2007. Since then, there have been some changes made to the user policy and service infrastructure, including limits placed on video duration, file size, and resolution. This article depicts the latest YouTube traffic profiles and delivers updated and valuable information for future researchers. To obtain a detailed understanding of YouTube video characteristics, a customized Web spider was employed to crawl over a million YouTube videos. The study demonstrates consistency with previous research for major video streams while revealing that new categories of features have emerged within the YouTube service provision. Compared with traditional video repositories, YouTube exhibits many unique characteristics that could introduce novel challenges and opportunities for optimizing the performance of short video-sharing services. © 2015 IEEE.

引用

页码：56 / 63

页数：8

共 11 条

[1] Workload generation for YouTube [J].

Abhari, Abdolreza ;

Soraya, Mojgan .

MULTIMEDIA TOOLS AND APPLICATIONS, 2010, 46 (01) :91-118

[2]

[Anonymous], 2003, SCCR97 WORLD INT PRO

[3]

[Anonymous], 2010, YOUTUBE HELP CTR

[4] A NEW DISTRIBUTED ALGORITHM TO FIND BREADTH 1ST SEARCH-TREES [J].

AWERBUCH, B ;

GALLAGER, RG .

IEEE TRANSACTIONS ON INFORMATION THEORY, 1987, 33 (03) :315-322

[5]

Burgess Jean, 2018, YouTube: Online Video and Participatory Culture, V2nd

[6]

Cheng X., 2007, UNDERSTANDING CHARAC

[7]

Cheng X, 2008, INT WORKSH QUAL SERV, P249

[8]

Gaedtke J., 2013, PACK VID WORKSH DEC

[9]

Gill P, 2007, IMC'07: PROCEEDINGS OF THE 2007 ACM SIGCOMM INTERNET MEASUREMENT CONFERENCE, P15

[10] KinectFusion: Real-Time Dense Surface Mapping and Tracking [J].

Newcombe, Richard A. ;

Izadi, Shahram ;

Hilliges, Otmar ;

Molyneaux, David ;

Kim, David ;

Davison, Andrew J. ;

Kohli, Pushmeet ;

Shotton, Jamie ;

Hodges, Steve ;

Fitzgibbon, Andrew .

2011 10TH IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR), 2011, :127-136

← 1 2 →