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1 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 Tohru 4,e) Abstract: Notes on a whiteboard can be useful when we have to make meeting records. They can also provide us some tips for creating new ideas. However, reviewing the meeting video efficiently is difficult because we can not identify whether the video includes the target scenes until we open and play it. In this paper, we propose a review supporting system for meeting videos based on notes timeline. In this system, each highlighted note on a whiteboard is extracted and clipped out as a still image with its time stamp from the meeting video. Those images are sorted by the time stump, and are arranged along the seek bar. We can easily grasp when and what was discussed in the meeting videos from the sequence of those images. They can be used as the playing indexes of the videos. Experimental results showed that the precision and recall value of note-block extraction were 87 % and 77%. Keywords: Whiteboard, Log Reviewing, Meeting Support 1 Graduate School of Bionics, Computer and Media Sciences, Tokyo University of Technology 2 Graduate School of Science and Technology, Keio University 3 Graduate School of Information Science and Technology, Osaka University 4 School of Computer Science, Tokyo University of Technology a) ytaniguchi@hil.cs.teu.ac.jp b) horiguchi@mos.ics.keio.ac.jp c) akifumi@stf.teu.ac.jp 1. 1 [1] d) igaki@ist.osaka-u.ac.jp e) hoshi@stf.teu.ac.jp c 2012 Information Processing Society of Japan 1

2 1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf 2 Web c 2012 Information Processing Society of Japan 2

3 MeetingShelf 3.3 MeetingShelf AndroidSDK 2 Android Web Intel OpenCV [10] SANYO Xacti DMX-HD1010 FullHD 30fps c 2012 Information Processing Society of Japan 3

4 4 4.2 Web [ (1) ] FFmpeg [ (2) ] [ (3) ] 6(a) 2 6(b) (a), (b) 6(c) [ (4) ] t N t 1 N t 1 5 N t < N t 1 N t 0 t 1 t [ (5) ] 3 P t P t 1 P t [ (6) ] 5 t 1 t 1 t Web Web [ (7), (8) ] (x,y) c 2012 Information Processing Society of Japan 4

5 1 Cs Ns Ms (%) (%) Cs Ns Ms (%) (%) ( 7) y y 0 20 x Web C b N b N b M b P b R b C s N s N s M s P s R s 2 100% 2 [11] 6. MeetingShelf Web 87.1% 77.1% 100% 82.4% c 2012 Information Processing Society of Japan 5

6 [1] John C. Tang. Findings from observational studies of collaborative work. International Journal of Man-Machine Studies, Vol. 34, No. 2, pp , [2],,,, , 2011, pp , jun [3],,... D-I,, I-, Vol. 83, No. 11, pp , [4],,,.., Vol. 50, No. 1, pp , [5],,, , pp. 1 2, [6] Francois Berard. The magic table: Computer Vision Based Augmentation of a Whiteboard for Creative Meetings. In IEEE Work shop on Projector Camera System(PRO.CAM), pp. 1 8, [7],,.., Vol. 51, No. 6, pp , [8],, , pp. 1 2, [9],,,. S.W... [], Vol. 2000, No. 97, pp , [10] G. Bradski. The OpenCV Library. Dr. Dobb s Journal of Software Tools, [11] Zhengyou Zhang and Li wei He. Whiteboard Scanning and Image Enhancement, c 2012 Information Processing Society of Japan 6

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