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1 1
2 Flickr reached 5,000,000,000 photos on September 19,
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5 Thematic area # submitted % over submitted # accepted % over accepted % acceptance in area Object and Scene Recognition % % 34.4% Segmentation and Grouping % % 21.7% Face, Gesture, Biometrics % % 25.6% Motion and Tracking % % 22.7% Statistical Models and Visual Learning % % 29.7% Matching, Registration, Alignment % % 23.3% Computational Imaging % % 32.4% Multi view Geometry % % 35.8% Image Features % % 25.8% Video and Event Characterization % % 22.6% Shape Representation and Recognition % % 39.6% Stereo % 4 1.2% 10.5% Reflectance, Illumination, Color % % 37.8% Medical Image Analysis % 5 1.5% 19.2% Total
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7 The state of the world The gathered data The processed data w d r I ( W; D ) I ( W; R ) The data processing theorem states that data processing can only destroy information. 7 David J.C. MacKay. Information Theory, Inference, and Learning Algorithms. Cambridge University Press 2003.
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12 Deng et al., CVPR
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15 french fries mashed potato black olive face powder crab apple Granny Smith strawberry blueberry cranberry currant blackberry raspberry persimmon mul berry orange kumquat lemon grapefruit plum fig pineapple banana jackfruit cher ry grape custard apple durian mango elderberry guava litchi pomegranate quince kidney bean soy green pea chickpea chard lettuce cress spinach bell pepper pimento jalapeno cherry tomato parsnip turnip mustard bok choy head cabbage broccoli cauliflower brussels sprouts zucchini spaghetti squash acorn squash butternut squash cucumber artichoke asparagus green onion shallot leek cardoon celery mushroom pumpkin cliff lunar crater valley alp volcano promontory sandbar dune coral reef lakeside seashore geyser bakery juniper berry gourd acorn olive hip ear pumpkin seed sunflower seed coffee bean rapeseed corn buckeye bean peanut walnut cashew chestnut hazelnut coco nut pecan pistachio lentil pea peanut okra sunflower lesser celandine wood anemone blue columbine delphinium nigella calla lily sandwort pink baby s breath ice plant globe amaranth four o clock l Virginia i i spring beauty wallflower damask violet candytuft Iceland poppy prickly poppy oriental poppy celandine blue poppy Welsh poppy celandine poppy corydalis pearly everlasting strawflower yellow chamomile dusty miller tansy daisy common marigold China aster cornflower chrysanthemum mistflower など 15
16 フライドポテトはジャガイモのマッシュアップブラックオリーブブ白粉のカニリンゴグラニースミスのイチゴブルーベリークランベリーカラントブラックベリーラズベリーの柿桑オレンジキンカンレモングレープフルーツ梅図パイナップルバナナジャックフルーツ桜のブドウカスタードアップルをドリアンマンゴーニワトコグアバライチザクロカリンインゲン大豆グリーンピースのひよこ豆のフダンソウのレタスクレソンのほうれん草ピーマンピーマンハラペーニョミニトマトパースニップカブマスタードボクは菜ヘッドキャベツブロッコリーカリフラワー芽キャベツのズッキーニのスパゲティは スカッシュスカッシュドングリバタースカッシュキュウリはアーティチョークアスパラガスねぎエシャロットをネギカルドンのセロリマッシュルームカボチャの崖の月面のクレーターの谷アルプスの火山岬砂州の砂丘にサンゴ礁を湖畔海岸間欠泉のパン屋さんジュニパーベリーは ヒョウタンドングリオリーブヒップ耳カボチャの種ヒマワリの種コーヒー豆の菜種トウモロコシバックアイ豆ピーナッツクルミカシューナッツ栗ヘーゼルナッツココナッツピーカンナッツピスタチオ豆豆ピーナッツオクラヒマワリ低いクサノオウの木のクマノミブルーコロンバインデルフィニウムニゲラのカーラリリー sandwort ピンク赤ちゃんの呼吸アイスプラントの世界をアマランサス四 Oの ' クロックバージニア春の美しさの壁の花のダマスクバイオレットキャンディータフトアイスランドポピー厄介ポピーオリエンタルポピークサノオウ青いケシウェルシュポピークサノオウケシキケマン真珠のような永遠のストローフィールド黄色のカモミールダスティーミラーのヨモギギクにデイジーチェーン共通マリーゴールドエゾギクコーンフラワーキクキク科ヒヨドリバナ属の多年草のなど 16
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18 net.org/challenges/lsvrc/2010/pascal_ilsvrc.pdf 18
19 NEC: LLC, SV XRCE: Fisher Vector NEC: HOG, LBP XRCE: SIFT, Color Local Descriptors Semi local feature Spatial Pyramid Image Feature Linear Classifier Linear SVMs Category 19
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23 w 3 w 1 w 4 R d w 2 23
24 Image Local descriptors in feature space PDF estimation 24
25 Generative approach Image Local ldescriptors in feature space Fisher Kernel Feature F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. CVPR, Discriminative approach Discriminative classifier Classifier PDF estimation vector e.g., SVMs Fisher Vector Category 25
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30 net.org/challenges/lsvrc/2010/ilsvrc2010_xrce.pdf pdf Bag of Visual Words (GMM) Fisher Vector 30
31 31
32 q(x) u(x) 32
33 net.org/challenges/lsvrc/2010/ilsvrc2010_xrce.pdf 33
34 net.org/challenges/lsvrc/2010/ilsvrc2010_xrce.pdf pdf 34
35 35 Asymmetric Distance Computation
36 H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. CVPR,
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40 X. Zhou, K. Yu, T. Zhang, and T.S. TS Huang. Image classification using super vector coding of local image descriptors. ECCV,
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45 J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. CVPR,
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47 net.org/challenges/lsvrc/2010/ilsvrc2010_nec UIUC.pdf /hll / / / 47
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49 net.org/challenges/lsvrc/2010/ilsvrc2010_nec UIUC.pdf / h /LSVRC/2010/ILSVRC
50 htt // i t / h ll /LSVRC/2010/ILSVRC2010 NEC UIUC net.org/challenges/lsvrc/2010/ilsvrc2010_nec UIUC.pdf 50
51 Super Vector Coding VLAD GMM + Bag of Visual Words Fisher Vector Sparse Coding Global Gaussian H. Nakayama, T. Harada, and Y. Kuniyoshi. Global Gaussian Approach for Scene Categorization Using Information Geometry. In CVPR, Local Coordinate Coding Bag of Visual Words Locality constrained t i Linear Coding 51
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