Keypoint Matching Technique and Its Applications

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Experiments: data description • Phishing pages: 2,058 pages on 74 sites – source: http://www.phishtank.com, http://www.antiphishing.org – records of top 5 phishing target sites are more than half of our records Domain Number of Records eBay 701 PayPal 632 Marshall & Ilsley 138 Charter One 116 Bank of America 51 • Potential target pages: 300 vulnerable pages – source: http://www.ciphertrust.com/resources/statistics/ • Pre-stored data set – positive: 2,058 comparisons – negative: 44,000 comparisons 60
Parameter Settings • CCH settings – levels to describe salient points (r) = 4 – length of region (L × L) for salient points(L) = 7 pixels – input image size: original webpage resolution (mostly 800 × 600) – k-means parameter (k) = 4 – naïve Bayesian classifier • EMD settings – we follow the suggestion in Fu et al.'s previous work – input image size: 100 × 100 (Lanczos3 resampling algorithm) – color degrading factor (CDF): 32 – amplifier for the EMD value (α): 0.5 – the # of colors used for the signature (|S s |): 20 – the weight for the color distance (p): 0.5 – the weight for the color centroid distance (q): 0.5 – naïve Bayesian classifier is used instead of per-page threshold 61
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Keypoint Matching Technique and Its
Page 3 and 4:
Invariant Local Features: SIFT •
Page 5 and 6:
Interest Point Detection • Harris
Page 7 and 8:
Rotation Invariants • To provide
Page 9 and 10: Contrast Context Histogram • The
Page 11 and 12: Experiments • Examples of images
Page 16 and 17: Experiments
Page 18 and 19: • COIL-100 Database Experiments
Page 21 and 22: Introduction • Shot change detect
Page 23 and 24: Introduction • What is a shot - A
Page 25 and 26: Matching Results
Page 27 and 28: 114 matches 106 matches 0 matches 8
Page 29 and 30: Intervals of Transitions • Find i
Page 31 and 32: Matching Nonadjacent Frames • Let
Page 33 and 34: • 7 videos Experimental Results
Page 35 and 36: Summary • A fast unified shot cha
Page 37 and 38: Application: Photo Content Analysis
Page 39 and 40: Photo Summarization
Page 41 and 42: Experimental Results
Page 43 and 44: Content-based Image Copy Detection
Page 45 and 46: Experiments
Page 47 and 48: Severity of the “Phishing” Prob
Page 49 and 50: Current Anti-phishing Solutions •
Page 51 and 52: Our Proposed Scheme Image-based Pag
Page 53 and 54: Lightweight CCH • Ignore scale an
Page 55 and 56: Page Matching with CCH • Pages of
Page 57 and 58: Page Scoring • (Def) effective gr
Page 59: Page Classification • Naïve Baye
Page 63 and 64: References • Kuan-Ta Chen, Jau-Yu
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Keypoint Matching Technique and Its Applications

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