Mon, Jun 6 AM
10:00 - 12:00 |
| (1) |
10:00-10:30 |
Storage Power Control Model based on Analyzing and Evaluating of I/O Behavior of Data Intensive Applications |
Norifumi Nishikawa, Miyuki Nakano, Masaru Kitsuregawa (Tokyo Univ.) |
| (2) |
10:30-11:00 |
Efficient invocation of transaction sequences triggered by data streams |
Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa (Tsukuba Univ.) |
| (3) |
11:00-11:30 |
An Experimental Study on Power Saving of Online Transaction Processing using Dynamic Voltage and Frequency Scaling in a SSD-equipped Environment |
Yuto Hayamizu, Kazuo Goda, Miyuki Nakano, Masaru Kitsuregawa (The Univ. of Tokyo) |
| (4) |
11:30-12:00 |
Characterization of Remote Data Access for Hadoop Distributed File System over a long-latency environment |
Asuka Momose, Masato Oguchi (Ochanomizu Univ.) |
| |
12:00-13:00 |
Lunch Break ( 60 min. ) |
Mon, Jun 6 PM
13:00 - 14:30 |
| (5) |
13:00-13:30 |
Mining Self-Similarity for Near-Duplicate Video Retrieval |
Zhipeng Wu, Kiyoharu Aizawa (Univ. of Tokyo) |
| (6) |
13:30-14:00 |
On the Dissimilarity of Videos Considering Visibility for Similarity Retrieval of Plasma Videos |
Yoshikazu Takeda, Teruhisa Hochin, Hiroki Nomiya (KIT), Hideya Nakanishi, Mamoru Kojima (NIFS) |
| (7) |
14:00-14:30 |
Efficient Emotional Video Scene Detection by Selecting and Integrating Concise Facial Features |
Hiroki Nomiya, Teruhisa Hochin (KIT) |
| |
14:30-14:40 |
Break ( 10 min. ) |
Mon, Jun 6 PM
14:40 - 16:40 |
| (8) |
14:40-15:10 |
Towards Incremental Graph Processing by Data Stream Processing |
Shunsuke Nishii (Tokyo Tech), Toyotaro Suzumura (Tokyo Tech/IBM) |
| (9) |
15:10-15:40 |
Fast Frequent Itemset Mining from Uncertain Databases using GPGPU |
Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa (Univ. of Tsukuba) |
| (10) |
15:40-16:10 |
Classification of users' attitudes toward rumors on microblogs |
Tomohide Fujikawa, Nobuhiro Kaji, Naoki Yoshinaga, Masaru Kitsuregawa (UT) |
| (11) |
16:10-16:40 |
NIJIGUMO Note: Multimedia Processing Mash-up System on Cloud Computing |
Hiroki Akama, Masashi Yamamuro, Tkakshi Menjo (NTT), Tetsuji Satoh (Univ. of Tsukuba) |
| |
16:40-16:50 |
Break ( 10 min. ) |
Mon, Jun 6 PM
16:50 - 18:20 |
| (12) |
16:50-17:20 |
Temporal detection of rigid changes in 3D scenes by using 2D-3D matching |
Yuji Ueno, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) |
| (13) |
17:20-17:50 |
A Study on Norm Selection for CV algorithms |
Yuichiro Mukai, Hiroshi Oike, Toshikazu Wada (Wakayama Univ.) |
| (14) |
17:50-18:20 |
Structuring and Storing Waka Data in An XML Database System |
Ryoko Shirai (Doshisha Univ), Atsushi Keyaki (NAIST), Kenji Hatano (Doshisha Univ) |
Tue, Jun 7 AM
09:30 - 11:00 |
| (15) |
09:30-10:00 |
A Proposal of an Instant Question Search System |
Takeharu Eda, Toshio Uchiyama, Alice Chen, Katsuji Bessho, Ryoji Kataoka (NTT), Masatoshi Yoshikawa (Kyoto Univ.) |
| (16) |
10:00-10:30 |
Comparisons of document clustering algorithms and criterion functions |
Toshio Uchiyama, Takeharu Eda, Katsuji Bessho, Ko Fujimura (NTT) |
| (17) |
10:30-11:00 |
Analysis of Interests in a Topic using Query Logs |
Takayuki Adachi, Toshio Uchiyama, Ko Fujimura (NTT) |
| |
11:00-11:10 |
Break ( 10 min. ) |
Tue, Jun 7 AM
11:10 - 12:00 |
| (18) |
11:10-12:00 |
[Special Talk]
From Newton to Evernote - Evolvement of Character Recognition |
Alexander Pashintsev (EverNote) |
| |
12:00-13:30 |
Lunch Break ( 90 min. ) |
Tue, Jun 7 PM
13:30 - 14:30 |
| (19) |
13:30-14:00 |
Fast Semantic Indexing Using Tree-structured GMMs |
Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) |
| (20) |
14:00-14:30 |
Duplicate Registration of Data in Approximate Nearest Neighbor |
Masakazu Iwamura, Tomoyuki Muto, Koichi Kise (Osaka Prefecture Univ.) |
| |
14:30-14:40 |
Break ( 10 min. ) |
Tue, Jun 7 PM
14:40 - 15:30 |
| (21) |
14:40-15:30 |
[Special Talk]
Why “Watson” Answered Questions on the TV Quiz Show? |
Hiroshi Kanayama (IBM Japan) |
| |
15:30-15:40 |
Break ( 10 min. ) |
Tue, Jun 7 PM
15:40 - 18:10 |
| (22) |
15:40-16:10 |
Ultrahigh-Speed Commercial Detection and its Application to Knowledge Discovery |
Xiaomeng Wu, Shin'ichi Satoh (NII) |
| (23) |
16:10-16:40 |
Video retrieval method based on the improved Tiny LSH using image and audio features |
Noboru Murabayashi, Kenichi Yoshida (Univ. of Tsukuba) |
| (24) |
16:40-17:10 |
A Metadata Generation Method by Supervised Machine Learning for Telop Data in TV Videos |
Yousuke Watanabe (Tokyo Tech), Yutaka Katsuyama, Satoshi Naoi (Fujitsu Lab.), Haruo Yokota (Tokyo Tech) |
| (25) |
17:10-17:40 |
Impression-Based Social Tagging for Video with Time-Series Color Analysis Mechanisms |
Shuichi Kurabayashi, Yasushi Kiyoki (Keio Univ.) |
| (26) |
17:40-18:10 |
An Automatic Music Video Creation System by Reusing Music Video Contents |
Tatsunori Hirai, Hayato Ohya, Yuki Hasegawa, Shigeo Morishima (Waseda Univ.) |
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