06 3012405004818 Ciaco scrl onixsuitesupport@onixsuite.com 20260308T1818Z eng

COM.ONIXSUITE.9782930344584 03 02 i6doc 01 SKU 70212 02 293034458X 03 9782930344584 15 9782930344584 02 01 00 BC 01 9.45 in 02 6.30 in 03 0.72 in 08 7.62 oz 01 24 cm 02 16 cm 03 0.72 cm 08 216 gr 10 02 1 01 02 SIMILAR 01 01 Numéro 1 Message digests for photographic images and video contents 1 A01 01 Onixsuite Contributor ID 12069 Frédéric Lefèbvre Lefèbvre, Frédéric Frédéric Lefèbvre 2 B01 01 Onixsuite Contributor ID 14553 Similar 1 01 eng 00 124 03 10 COM000000 24 INTERNET Réseaux et télécommunication 24 INTERNET Électricité 24 INTERNET Sciences appliquées 29 2012 3238 Réseaux et Télécommunications 01 06 03 00 New multimedia database search tools require rapidity, compression, image quality and copyright control. The two latter are often covered by embedding a hidden watermark signal in the multimedia content. More effective and recognized multimedia search methods are using hash functions. Hash functions compute very short signatures characteristically very different from one media to another. Typical requirement of hash functions are: easily computable, provide short output bit length, and collision resistant. In this thesis, an image hashing method for multimedia contents is presented as an innovative solution for content identification and indexing. This new one-way function for images extract some image features by different computations along radial projections. The magnitude of change is related to the amount of the change of the media (image, video). In watermarking, hashing enables the creation of payloads that depend on the media content, and which are thus resistant to the "copy attack" and collusion. This thesis is available in the SIMILAR collection under the label « Presses universitaires de Louvain » (ISBN 2-930344-58-X) and may be purchased online at www.i6doc.com. 02 00 New multimedia database search tools require rapidity, compression, image quality and copyright control. The two latter are often covered by embedding a hidden watermark signal in the multimedia content. More effective and recognized multimedia... 04 00 Introduction 1 1 Image and content security: Overview 7 1.1 Digital Signature Standard . . . . . . . . . . . . . . . . . . . . 8 1.1.1 DSA-ECDSA . . . . . . . . . . . . . . . . . . . . . . . 9 1.1.2 Hash function, one-way function . . . . . . . . . . . . 9 1.2 Image hashing . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.2.1 Overview of our contribution . . . . . . . . . . . . . . 12 1.2.2 Related works . . . . . . . . . . . . . . . . . . . . . . . 13 1.3 Watermarking . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.3.1 The psychovisual mask . . . . . . . . . . . . . . . . . 16 1.3.2 The watermarking pattern . . . . . . . . . . . . . . . . 16 1.3.3 The synchronized block . . . . . . . . . . . . . . . . . 17 1.3.4 Related work in content-based watermarking design 18 2 Authentication and Geometrical Attacks Detection for Image Signature 23 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 2.2 Radon Transform . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.2.1 Continuous Radon transform . . . . . . . . . . . . . . 26 2.2.2 Discrete Radon transform . . . . . . . . . . . . . . . . 28 2.3 Radon Soft Hash Function . . . . . . . . . . . . . . . . . . . . 30 2.3.1 Points extraction . . . . . . . . . . . . . . . . . . . . . 30 2.3.2 Features extraction algorithm . . . . . . . . . . . . . . 33 2.3.3 Geometrical deformation detection . . . . . . . . . . . 34 2.3.4 Detection and experiments . . . . . . . . . . . . . . . 35 2.4 Message digest for digital signature . . . . . . . . . . . . . . 37 2.4.1 Normalized RASH . . . . . . . . . . . . . . . . . . . . 37 2.4.2 Final message digest . . . . . . . . . . . . . . . . . . . 38 2.4.3 Detection . . . . . . . . . . . . . . . . . . . . . . . . . . 39 2.5 The theoretical threshold computation . . . . . . . . . . . . . 42 2.5.1 Working hypothesis . . . . . . . . . . . . . . . . . . . 43 2.5.2 Estimator model . . . . . . . . . . . . . . . . . . . . . 43 2.5.3 Estimator Efficiency . . . . . . . . . . . . . . . . . . . 45 2.5.4 Confidence interval . . . . . . . . . . . . . . . . . . . . 47 2.5.5 Theoretical optimal threshold . . . . . . . . . . . . . . 49 2.6 Radon Transform and Principal Component Analysis . . . . 53 2.6.1 Description . . . . . . . . . . . . . . . . . . . . . . . . 53 2.6.2 Experiments . . . . . . . . . . . . . . . . . . . . . . . . 59 2.6.3 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . 60 3 A video digest based on the robust hashing of representative frames 63 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 3.2 Image robust hashing . . . . . . . . . . . . . . . . . . . . . . 64 3.2.1 Robust image digest based on radial projections . . . 65 3.2.2 Visual hash experimental validation . . . . . . . . . . 68 3.3 Extension to video hashing . . . . . . . . . . . . . . . . . . . 73 3.3.1 From ‰image hash‰ to ‰video hash‰: the notion of representative frames . . . . . 74 3.3.2 Representative frames . . . . . . . . . . . . . . . . . . 75 3.3.3 Video hash experimental validation . . . . . . . . . . 82 3.4 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 4 An advanced architecture for movie Digital Right Management 93 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 4.1.1 Acces Control context . . . . . . . . . . . . . . . . . . 94 4.1.2 Fingerprinting context . . . . . . . . . . . . . . . . . . 96 4.1.3 Screen distortion and temporal distortion context . . 98 4.2 Watermarking . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 4.2.1 Description of the light algorithm . . . . . . . . . . . 101 4.2.2 Watermarking detection performance . . . . . . . . . 106 4.2.3 Hardware implementation . . . . . . . . . . . . . . . 108 4.3 Digital signature real time process . . . . . . . . . . . . . . . 111 4.3.1 Hardware implementations . . . . . . . . . . . . . . . 112 4.3.2 Efficient implementation of a serial-parallel architecture . . . . 114 4.4 Fingerprinting/video digest for movie authentication and tracking . . . . . . . 116 5 Conclusions and perspectives 119 A Publications 123 16 00 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields. 16 00 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields. 17 00 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields.SIMILAR builds the foundations for future multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections.Eight Special Interest Groups share the various short term tasks. Details are available at www.similar.cc. 17 00 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields.SIMILAR builds the foundations for future multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections.Eight Special Interest Groups share the various short term tasks. Details are available at www.similar.cc. 01 00 03 02 http://www.i6doc.com/resources/titles/28001100624090/images/4f5a97cf06cf69028997db51d8726d28/THUMBNAIL/9782930344584.jpg 09 00 03 02 01 D502 https://i6doc.com/resources/publishers/35.jpg 10 00 03 02 01 D503 https://i6doc.com/resources/publishers/73.png 06 3052405007518 Presses universitaires de Louvain 01 01 Dilicom PULOUVAIN 06 3052405007518 Presses universitaires de Louvain 01 Presses universitaires de Louvain http://pul.uclouvain.be/ 04 01 20040101 11 20040101 02 WORLD 02 01 GCOI 28001100624090 WORLD 04 03 06 3012405004818 CIACO - DUC 33 www.i6doc.com http://www.i6doc.com 01 2 20 1 02 00 02 02 STD 02 9.40 01 R 6.00 8.87 0.53 EUR