Large Scale Image Deduplication

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Presentation transcript:

Large Scale Image Deduplication Use SIFT & MSER bundles features Consider local feature geometric position Invariant to rotation, translation, cropping, illumination changes Bundling features for large scale partial-duplicate web image search Computer Vision and Pattern Recognition, 2009. CVPR 2009 Tzay-Yeu Wen Stanford University 1

Large Scale Image Deduplication 1M Dataset Experiment Result Query Occlusion Percentages mAP 50% 0.434842 30% 0.689659 10% 0.800570 0% 0.912014 Run-time Comparison 10K Images 1M Images Feature Extraction 0.066362 Sec Visual Word Conversion 0.023341 Sec 0.013630 Sec Query 0.033187 Sec 0.575602 Sec Total 0.122890 Sec 0.655594 Sec Tzay-Yeu Wen Stanford University 2