Keypoint Matching Technique and Its Applications

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Page Scoring • (Def) successful match – salient points clustering: k-means – clusters (groups) G i <strong>and</strong> G j correspond • the most number of matched pairs inside • those matched pairs are called successful matches a successful match • SOCRE 1: Similarity Degree (S) S = the # of successful matches the # of salient point pairs ∈[0,1] G i G j • SOCRE 2: Successful Match Density (D) the # of successful matches D = ∈[0,1] the # of salient points in the official page – the significance degree of the matched portions to the official page 56
Page Scoring • (Def) effective grids – the official page was divided into 8×8 grids – the grids with salient points inside are called effective grids • SCORE 3: Effective Grid Coverage Rate (E) E = the # of effective grids ∈[0,1] the # of grids – the weight of effective regions effective grids 57
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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: Page Matching with CCH • Pages of
Page 59 and 60: Page Classification • Naïve Baye
Page 61 and 62: Parameter Settings • CCH settings
Page 63 and 64: References • Kuan-Ta Chen, Jau-Yu
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Keypoint Matching Technique and Its Applications

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