ID Web SNS (Social Networking Service) python numpy *2 scipy * (item) (samples) (mean)
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1 Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/,a) 2,,, An Analysis of Video Meta-data and Thier Folksonomy Tags Using Niconico Dataset KUROSE Hiroshi,a) YAMADA Shigeki 2 Abstract: Viode meta-information of Nicovideo has provided by DWANGO Co., Ltd. and National Institute of Informatics (NII). This paper shows the analysis results of the statistical data of the meta-information of the videos and attached folksonomy tags on their video contents. Keywords: Video meta-data, Folksonomies, Tag based routing, Niconico dataset. [] * 8 Academic Foundations Programs, Kanazawa Institute of Technology 2 Principles of Informatics Research Division, National Institute of Informatics a) kurose@neptune.kanazawa-it.ac.jp * GB 3GB [2] ID ID URL c 23 Information Processing Society of Japan
2 ID Web SNS (Social Networking Service) python numpy *2 scipy * (item) (samples) (mean) (stdev) (min) (max) (median) (mode) (kurtosis) (skewness). file size (high) file size (low) MB kb data rate (high) data rate (low) length MB kb/s (title length) (description length) (tag length) UTF8 distinct tag attached tag 2 mp4 MPEG swf Small Web Format flv Flash Video :4: distinct tag category tag distinct tag category locked tag lock lock&category. category lock 3 &, >,, < HTML &, >, ", <, 534, 236, 64, Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/ days np osted, sp osted [TB] (), (2) *2 *3 c 23 Information Processing Society of Japan 2
3 Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/ ( =8,35,696) Table statitics of video meta data(number of videos is 8,35,696) item samples mean stdev min max median mode kurtosis skewness length [sec] number of video posted/day amount of posted [TB/day] number of views number of comments number of mylists tags per content title length description length distinct tag length attached tag length file size (high) [MB] e file size (low) [MB] e data rate (high) [kb/s] e datarate (low) [kb/s] e Table 2 Tag usage situation(number of tags is 5,328,34) item samples mean stdev min max median mode kurtosis skewness distinct tag category tag locked tag lock&category np osted = 2.455days () sp osted =.5days (2) y 3.4 bins % 4 25TB 5 length % MB 9% KB/s MB/s 8 [3] c 23 Information Processing Society of Japan 3
4 number of videos posted on the day n=268, solidline:simple moving average of 7days days since data size of posted video on the day in TB 4 n=267, solid line: simple moving average of 7days Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/ days since Fig. number of video posted on each day Fig. 2 2 total size of posted files on each day n=268, bins=.e number of videos posted on each days n=268, bins=.e posted data size in TB on the day Fig. 3 3 of posted videos number Fig. 4 4 of posited videos size. n=83558, bins=.e file size (low) file size (high). - 2 play time in minute Fig. 5 5 of play time -4 n=835459, bins=.e data size in MB Fig. 6 6 of video file size 9 UTF8 c 23 Information Processing Society of Japan 4
5 Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/ 情報処理学会研究報告. n=83528, bins=.e+5.6 data rate (low).4.2 Comment 6 frequency of appearance.8 7 data rate (high) View 5 4 MyList data rate in kb/s 3 n=835696, bins=.e count 図 7 データ転送レートの累積確率分布 図 8 再生数 コメント数 マイリスト数の出現頻度分布 Fig. 7 of data rete Fig. 8 appearence of counts of views, comments, mylists ある タグはタグ種類別 (distinct tag) と動画に付与され distinct tag は種類別である たタグ (attached tag) の 2 つを集計している タイトルは 3 字程度が 動画説明文は 4 字以内が多い タグは 種 類別では平均 8.3 字 動画付与では平均 6. 字になってい 表 3 タグ割当状況 (動画数=8,35,696) Table 3 Attached tag(# of videos is 8,35,696) ることから 語句の文字長が短いタグが動画に多く付与さ category lock number of attached distinct tag れている タグ付与第 位は ゲーム でこの場合は 3 字 26,28,93 4,939,8 2,88,86 86,57 38,937,7 5,328, ,836,39 3 6,836,26 3 画あたりのタグ数は平均 5.5 であった タグが付与されな 5,328,32 4,939,8 い動画は全体の 2%存在した 頻度では 動画に付与され 9,644,225 86,93 45,773,378 5,328,34 である 3.5 タグ情報の出現頻度分布 図 に動画に付与されたタグ数の頻度分布を示す 動 たタグ数は 4 か 5 が多いが両方合わせても全体の約 3%で ある 図 にタグが付与された動画の多い順から並べたタグ ランキングの累積分布を示す カテゴリタグは種類も少な く第 位で 6%を占め上位 2 位まででカテゴリタグが付 与された動画の大多数を網羅する 全タグを対象とした場 合は 第 4 位を超えないとタグが付与された動画の過半 図 2 にカテゴリ指定されたタグの動画への付与数を示 す 横軸は 付与数の多いタグ順に並べている 動画への 付与数は 3 位を超えると急速に減少する カテゴリ指定のタグは 3 種類あるが タグの語句を見 ると VOCALOID と vocaloid のように表記ゆれを同 一とすると 4 種となる さらに 日記 と tagebuch な 数を網羅できない 最小二乗法による指数近似 abx では ランキング順位 k k に対してタグ ロック指定タグ カテゴリ指定タ グの出現数は それぞれ式 (3), (4), (5) である ど意味が同じタグを同一視すると 33 種に集約できる こ のうち動画に付与された数が 2 以上のものは 3 種であっ た なお ニコニコ動画のタグ検索機能では 検索文字の 大文字 小文字を同一視している T ag = exp( 3.56e 7 k) (3) 次に あるタグが付与された動画の総再生数とタグの出 T aglock = 3.5 exp( 4.349e 6 k) (4) 現数の関係を見る 図 3 にタグによる再生数ランキング T agcategory =.552e+5 exp(.475 k) (5) 同一タグであってもカテゴリまたはロックが指定されて 分布を示す タグ出現数のランキングを上位 位まので 各タグにおいて そのタグが付与された動画の総再生数を 求め 再生数の多い順に並べ直している いる場合 値が と指定されていない場合があるため 状 同様にタグ出現順位を 位ずつ増やして 8 位までの 況について確認する カテゴリ ロックの値を変えてタグ 分布を描く 第 位までの最低再生総数は 7 程度であ 数を調べた結果を表 3 に示す は値が任意であること るが 第 2 位での最低再生総数は 5 5 程度になる を表す number of attached は動画に付与されたタグで これは 動画に付与される数が多いタグでも再生数が低い c 23 Information Processing Society of Japan 5
6 frequency of appearance distinct tag: n= attached tag: n= title: n= description: n= text length generation probablity Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/ n= e number of tags attached to content 9 Fig. 9 appearence of text length Fig. number of tags attached to a content category tag n=3 locked tag n=8693 all tag n= tag ranking frequency of appearance n= tag ranking Fig. of attached tag 2 Fig. 2 number of videos using category tag 6 2 n nv iews nv nt ags tag j (6) n C n,view C n,view = n nv i= j= nv iews j,tag i tag j nv i= nv iews (6) i nt ags i C n,commnet C n,mylist 3.7% % view comment mylist % 3% (7), (8), (9) C 2 5,view =.883 exp(.248e 5 k) (7) C 2 5,comment =.89 exp(.83e 5 k) (8) C 2 5,mylist =.726 exp(.376e 5 k) (9) c 23 Information Processing Society of Japan 6
7 9 Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/ resorted view count coverage= set of tag ranking resorted comment count coverage= set of tag ranking 3 Fig. 3 total view count by tag ranking 4 Fig. 4 total comment count by tag ranking 38% % [4] [5] [6] Web [7]. [8] 3 c 23 Information Processing Society of Japan 7
8 8 Vol.23-DPS-56 No. Vol.23-GN-89 No. Vol.23-EIP-6 No. 23/9/ 7 resorted mylist count coverage= set of tag ranking 5 Fig. 5 total mylist count by tag ranking coverage - -2 view comment mylist tag ranking upto topn 6 Fig. 6 coverage the counts by tag ranking number of videos attached rank - rank - rank - rank -3 rank 3-6 rank 6- average view count rank - rank - rank -2 rank 2-4 rank 4-7 rank tag lifetime [days] tag lifetime [days] Fig. 7 7 tags duration vs. number of attached 8 Fig. 8 tags duration vs. average view counts 5. [] http: // [2] nii.ac.jp/cscenter/idr/nico/nico.html. [3] Caldarelli, G., Capocci, A., De Los Rios, P. and Muñoz, M. A.: Scale-Free Networks from Varying Vertex Intrinsic Fitness, Phys. Rev. Lett., Vol. 89, p (online), DOI:.3/PhysRevLett (22). [4] Hotho, A., Jäschke, R., Schmitz, C. and Stumme, G.: FolkRank: A ranking algorithm for folksonomies, UNI- VERSITY OF HILDESHEIM, INSTITUTE OF COM- PUTER SCIENCE, pp. 4 (26). [5] BibSonomy: BibSonomy - The blue social bookmark and publication sharing system, org/. [6] Rossini, G. and Rossi, D.: Large scale simulation of CCN networks, 4èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, La Grande Motte : France (22), (online), available from (22). [7] Wetzker, R., Zimmermann, C., Bauckhage, C. and Albayrak, S.: I tag, you tag: translating tags for advanced user models, Proceedings of the third ACM international conference on Web search and data mining, WSDM, New York, NY, USA, ACM, pp. 7 8 (online), DOI:.45/ (2). [8] TCR: CGM. B, Vol. 96-B, No. 2, pp (23). c 23 Information Processing Society of Japan 8
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Development of Digital Archive System of Comics Satoshi Tsutsui Kojima Kazuya The comic published in Japan is liked to read from of old by a lot of people, and builds our life and implications now. The
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1 2 2 3 Web Web A product recommender system based on knowledge on situations, functions, and series of products: Implementation and evaluation of the prototype system Abstract: The aim of this study is
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Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.
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1,a) 2,b) 4,c) 3,d) 4,e) Web A Review Supporting System for Whiteboard Logging Movies Based on Notes Timeline Taniguchi Yoshihide 1,a) Horiguchi Satoshi 2,b) Inoue Akifumi 4,c) Igaki Hiroshi 3,d) Hoshi
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DEIM Forum 2011 B7-4 252-0882 5322 E-mail: {t08099ai, kurabaya, kiyoki}@sfc.keio.ac.jp A Music Search Database System with a Selector for Impressive-Sections of Continuous Data Aya ICHINOSE Shuichi KURABAYASHI
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H.264 CABAC 1 1 1 1 1 2, CABAC(Context-based Adaptive Binary Arithmetic Coding) H.264, CABAC, A Parallelization Technology of H.264 CABAC For Real Time Encoder of Moving Picture YUSUKE YATABE 1 HIRONORI
28 SAS-X Proposal of Multi Device Authenticable Password Management System using SAS-X 1195074 2017 2 3 SAS-X Web ID/ ID/ Web SAS-2 SAS-X i Abstract Proposal of Multi Device Authenticable Password Management
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Abstract Social bookmark service is a tool to classify information on the web with user s own criteria. Organizing website with social bookmark service is fundamentally conducted for individual s benefit.
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情 報 処 理 学 会 インタラクション 2015 IPSJ Interaction 2015 A17 2015/3/5 Web 1 1 1 Web Web Position and Time based Summary System using Story Style for Web Contents Daichi Ariyama 1 Daichi Ando 1 Shinichi Kasahara
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THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,
The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website
The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website by the author(s) under the agreement with the IPSJ.
情報処理学会研究報告 IPSJ SIG Technical Report Vol.2013-HPC-139 No /5/29 Gfarm/Pwrake NICT NICT 10TB 100TB CPU I/O HPC I/O NICT Gf
Gfarm/Pwrake NICT 1 1 1 1 2 2 3 4 5 5 5 6 NICT 10TB 100TB CPU I/O HPC I/O NICT Gfarm Gfarm Pwrake A Parallel Processing Technique on the NICT Science Cloud via Gfarm/Pwrake KEN T. MURATA 1 HIDENOBU WATANABE
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21 Fault-Toleranted Authentication Data Distribution Protocol for Autonomous Distributed Networks 1125153 2010 3 2 i Abstract Fault-Toleranted Authentication Data Distribution Protocol for Autonomous Distributed
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x-means 1 2 2 x-means, x-means k-means Bayesian Information Criterion BIC Watershed x-means Moving Object Extraction Using the Number of Clusters Determined by X-means Clustering Naoki Kubo, 1 Kousuke
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1,a) 1,b) Obstacle Detection from Monocular On-Vehicle Camera in units of Delaunay Triangles Abstract: An algorithm to detect obstacles by using a monocular on-vehicle video camera is developed. Since
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340 30 1 SP2-N 2015 Onomatoperori : Ranking Cooking Recipes by using Onomatopoeias which Express their Tastes and Textures Chiemi Watanabe Satoshi Nakamura Graduate School of Systems and Information Engineering,
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DEIM Forum 2011 E9-4 252-0882 5322 252-0882 5322 E-mail: t09651yt, sashiori, kiyoki @sfc.keio.ac.jp CBIR A Meaning Recognition System for Sign-Logo by Color-Shape-Based Similarity Computations for Images
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