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Digital-Forensics and Watermarking

Overview of attention for book
Cover of 'Digital-Forensics and Watermarking'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Image Noise and Digital Image Forensics
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    Chapter 2 Camera Source Identification with Limited Labeled Training Set
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    Chapter 3 Detecting Video Forgery by Estimating Extrinsic Camera Parameters
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    Chapter 4 Discriminating Between Computer-Generated Facial Images and Natural Ones Using Smoothness Property and Local Entropy
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    Chapter 5 Multiple MP3 Compression Detection Based on the Statistical Properties of Scale Factors
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    Chapter 6 Detection of Double Compression for HEVC Videos Based on the Co-occurrence Matrix of DCT Coefficients
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    Chapter 7 An Advanced Texture Analysis Method for Image Sharpening Detection
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    Chapter 8 Digital-Forensics and Watermarking
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    Chapter 9 Inter-frame Forgery Detection for Static-Background Video Based on MVP Consistency
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    Chapter 10 An Effective Detection Method Based on Physical Traits of Recaptured Images on LCD Screens
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    Chapter 11 Video Steganalysis Based on Intra Prediction Mode Calibration
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    Chapter 12 Feature Selection for High Dimensional Steganalysis
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    Chapter 13 Synthetic Speech Detection and Audio Steganography in VoIP Scenarios
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    Chapter 14 Fingerprinting for Broadcast Content Distribution System
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    Chapter 15 Image Watermarking Based on Reflectance Modification
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    Chapter 16 Digital Video Watermark Optimization for Detecting Replicated Two-Dimensional Barcodes
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    Chapter 17 An Authentication and Recovery Scheme for Digital Speech Signal Based on DWT
  19. Altmetric Badge
    Chapter 18 Enrichment of Visual Appearance of Aesthetic QR Code
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    Chapter 19 Nondestructive Readout of Copyright Information Embedded in Objects Fabricated with 3-D Printers
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    Chapter 20 Blind Watermarking Based on Adaptive Lattice Quantization Index Modulation
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    Chapter 21 Self-Embedding Watermarking Scheme Based on MDS Codes
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    Chapter 22 Watermarking Method Using Concatenated Code for Scaling and Rotation Attacks
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    Chapter 23 DCT-OFDM Based Watermarking Scheme Robust Against Clipping, Rotation, and Scaling Attacks
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    Chapter 24 Robust Imperceptible Video Watermarking for MPEG Compression and DA-AD Conversion Using Visual Masking
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    Chapter 25 Detection of Frequency-Scale Modification Using Robust Audio Watermarking Based on Amplitude Modulation
  27. Altmetric Badge
    Chapter 26 Audio Watermarking Using Different Wavelet Filters
  28. Altmetric Badge
    Chapter 27 A Commutative Encryption and Reversible Watermarking for Fingerprint Image
  29. Altmetric Badge
    Chapter 28 Distortion-Free Robust Reversible Watermarking by Modifying and Recording IWT Means of Image Blocks
  30. Altmetric Badge
    Chapter 29 Reversible Data Hiding for Encrypted Audios by High Order Smoothness
  31. Altmetric Badge
    Chapter 30 Completely Separable Reversible Data Hiding in Encrypted Images
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    Chapter 31 Optimal Histogram-Pair and Prediction-Error Based Reversible Data Hiding for Medical Images
  33. Altmetric Badge
    Chapter 32 Authenticated Secret Sharing Scheme Based on GMEMD
  34. Altmetric Badge
    Chapter 33 Robust Content-Based Image Hash Functions Using Nested Lattice Codes
  35. Altmetric Badge
    Chapter 34 An Improved Aspect Ratio Invariant Visual Cryptography Scheme with Flexible Pixel Expansion
  36. Altmetric Badge
    Chapter 35 A New Construction of Tagged Visual Cryptography Scheme
Attention for Chapter 8: Digital-Forensics and Watermarking
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
1 news outlet

Citations

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5 Dimensions

Readers on

mendeley
18 Mendeley
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Chapter title
Digital-Forensics and Watermarking
Chapter number 8
Book title
Digital-Forensics and Watermarking
Published in
Lecture notes in computer science, October 2015
DOI 10.1007/978-3-319-31960-5_8
Book ISBNs
978-3-31-931959-9, 978-3-31-931960-5
Authors

Amel Tuama, Frederic Comby, Marc Chaumont

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 17%
Other 2 11%
Researcher 2 11%
Student > Master 2 11%
Student > Doctoral Student 1 6%
Other 4 22%
Unknown 4 22%
Readers by discipline Count As %
Computer Science 8 44%
Engineering 6 33%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2016.
All research outputs
#4,192,991
of 22,890,496 outputs
Outputs from Lecture notes in computer science
#989
of 8,127 outputs
Outputs of similar age
#56,186
of 278,205 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 146 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,205 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.