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1 膨大なデータからの価値創出 ~ 画像 映像処理技術の最先端 ~ 長谷山美紀 第 9 回インフラ イノベーション研究会 IST Information Science and Technology Hokkaido University
2 本日の講演内容 1. はじめに大量ディジタルデータ時代の到来 2. 画像 映像処理の最先端 いかにして望む情報を獲得するか? 3. 実データ適用の試み 4. まとめディジタルデータ時代のこれから
3 はじめに 大量ディジタルデータ時代の到来 IDC Report (March, 2008) The digital universe in 2007 at 2.25 x 1021 bits (281 exabytes) was 10% bigger than we thought. By 2011, the digital universe will be 10 times the size it was in Not all information created and transmitted gets stored, but by 2011, almost half of the digital universe will not have a permanent home.
4 本日の講演内容 1. はじめに大量ディジタルデータ時代の到来 2. 画像 映像処理の最先端 いかにして望む情報を獲得するか? 3. 実データ適用の試み 4. まとめディジタルデータ時代のこれから
5 長谷山研究室画像 映像処理 符号化 認識 復元 意味理解 画像 映像検索
6 長谷山研究室画像 映像処理 車載カメラで撮像された霧画像の復元 レーン 前方車両追跡 符号化 認識 復元 意味理解 画像 映像検索 側方向 任意方向車両追跡
7 長谷山研究室画像 映像処理 動画像からの歩行者検出 符号化 認識 復元 意味理解 画像 映像検索 一部が遮蔽された歩行者の検出 暗視環境下での歩行者の検出
8 長谷山研究室画像 映像処理 符号化 認識 復元 意味理解 画像 映像検索 Ada-Boost による顔検出
9 画像 映像処理の最先端 ~ いかにして望む情報を獲得するか ~ IMAGE VORTEX 2005 July 25, 2007 OA World Business Satellite (TV Tokyo) Copyright 2011, Haseyama Laboratory, Hokkaido University All rights reserved.
10 画像 映像処理の最先端 ~ いかにして望む情報を獲得するか ~ Image Vortex 2005 Copyright 2011, Haseyama Laboratory, Hokkaido University All rights reserved.
11 画像 映像処理の最先端 ~ いかにして望む情報を獲得するか ~ Image Vortex 2005 北海道新聞経済面 2008 年 2 月 1 日朝刊 科学雑誌 Newton 2009 年 9 月号 Copyright 2011, Haseyama Laboratory, Hokkaido University All rights reserved.
12 Copyright 2011, Haseyama Laboratory, Hokkaido University All rights reserved. 画像 映像処理の最先端 ~ いかにして望む情報を獲得するか ~ Cyber Space Navigator Easy Finder 2006 Image Vortex 2005 Video Vortex 2007 Tri-Media Vortex 2008 Immersive Web 2009 Sim Soccer 2006 Video Vortex Video Vortex SSF 2010 Image Cruiser Image Cruiser SSF 2010
13 画像 映像処理の最先端 ~ いかにして望む情報を獲得するか ~ Hokkaido University Haseyama Laboratory Pure Music 音響信号の効果的利用 Indexed Time Table 00:00-00:10 Opening Music 00:10-00:15 Anchor Shot Pure Speech Time
14 画像 映像処理の最先端 ~ いかにして望む情報を獲得するか ~ 画像 音響 音声信号の効果的利用 Hokkaido University Haseyama Laboratory
15 画像 映像処理の最先端 ~ いかにして望む情報を獲得するか ~ 画像 音響 音声信号の効果的利用 Hokkaido University Haseyama Laboratory 朝日新聞経済面 2007 年 10 月 5 日朝刊
16 画像 映像処理 の最先端 いかにして望む情報を獲得するか Image Cruiser 著作権の関係により 非表示 Copyright 2011, Haseyama Laboratory, Hokkaido University All rights reserved.
17 本日の講演内容 1. はじめに大量ディジタルデータ時代の到来 2. 画像 映像処理の最先端 いかにして望む情報を獲得するか? 3. 実データ適用の試み 4. まとめディジタルデータ時代のこれから
18 実データ適用の試み 被災地画像データへの適用 ニュージーランド地震前後の写真を比較して変化を読み取り 壊れたとされる建物に印を付与 被災した建物について 耐震性の低い建物だけが壊れたとの見方を裏付ける解析結果が得られた 朝日新聞 (2011 年 3 月 1 日朝刊 33 面 ): 本研究室の開発技術により 震災時における被害状況の判定支援が可能となった
19 実データ適用の試み 構造物データベースへの適用 関東県内の構造物画像 778枚
20 本日の講演内容 1. はじめに大量ディジタルデータ時代の到来 2. 画像 映像処理の最先端 いかにして望む情報を獲得するか? 3. 実データ適用の試み 4. まとめディジタルデータ時代のこれから
21 まとめ - ディジタルデータ時代のこれから (May, 2010) This explosive growth means that by 2020, our Digital Universe will be 44 TIMES AS BIG as it was in Our stack of DVDs would now reach halfway to Mars.
22 まとめ - ディジタルデータ時代のこれから (May, 2010) This explosive growth means that by 2020, our Digital Universe will be 44 TIMES AS BIG as it was in Our stack of DVDs would now reach halfway to Mars. However, the number of IT professionals in the world grow only by a factor of 1.4. How will we find the information we need when we need it? We will need new search and discovery tools. Most of the Digital Universe is unstructured data (for example, images and voice packets).
23 Contact Information 北海道大学大学院情報科学研究科メディアネットワーク専攻情報メディア学講座メディアダイナミクス研究室 長谷山美紀 Tel: 無断転載禁止 Copyright 2011 北海道大学メディアダイナミクス研究室
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