H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 11,025 168 World Ranking 3635 National Ranking 79

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to multimedia security

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • The Internet

Alessandro Piva mainly investigates Artificial intelligence, Computer vision, Digital watermarking, Watermark and Image processing. His Artificial intelligence research includes themes of Painting and Data science. His work in the fields of Computer vision, such as Color image and Multispectral image, intersects with other areas such as Spectral analysis and Trustworthiness.

His research integrates issues of Signal processing, Cryptography and Human visual system model in his study of Digital watermarking. His studies in Watermark integrate themes in fields like Algorithm, Copy protection and Theoretical computer science. His work on Digital image processing as part of general Image processing study is frequently linked to Network forensics, therefore connecting diverse disciplines of science.

His most cited work include:

  • Improved wavelet-based watermarking through pixel-wise masking (827 citations)
  • A DCT-domain system for robust image watermarking (640 citations)
  • DCT-based watermark recovering without resorting to the uncorrupted original image (354 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Digital watermarking, Watermark and Computer security are his primary areas of study. In his study, Information retrieval is strongly linked to Identification, which falls under the umbrella field of Artificial intelligence. His is doing research in Data compression, JPEG, Noise, Human visual system model and Transform coding, both of which are found in Computer vision.

His Digital watermarking study combines topics from a wide range of disciplines, such as Multimedia, Theoretical computer science, Robustness and Cryptography. While the research belongs to areas of Watermark, he spends his time largely on the problem of Decoding methods, intersecting his research to questions surrounding Information hiding. Alessandro Piva interconnects The Internet and Intellectual property in the investigation of issues within Computer security.

He most often published in these fields:

  • Artificial intelligence (46.15%)
  • Computer vision (41.03%)
  • Digital watermarking (35.90%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (46.15%)
  • Computer vision (41.03%)
  • Identification (11.28%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Computer vision, Identification, Noise and Image. Alessandro Piva applies his multidisciplinary studies on Artificial intelligence and Tracking system in his research. Computer vision is represented through his Image forensics and Image processing research.

His Image processing research includes elements of Detector and Vision based. His work deals with themes such as Digital image, Information retrieval and Social media, which intersect with Identification. The Digital image study combines topics in areas such as Painting and Feature.

Between 2015 and 2021, his most popular works were:

  • VISION: a video and image dataset for source identification (87 citations)
  • Multiple Parenting Phylogeny Relationships in Digital Images (21 citations)
  • Hybrid reference-based Video Source Identification. (17 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • The Internet

His main research concerns Identification, Artificial intelligence, Computer vision, Image and Information retrieval. His research in Identification intersects with topics in Social media and Digital image. Artificial intelligence is closely attributed to State in his research.

Alessandro Piva merges many fields, such as Computer vision and Composition, in his writings. His Image study combines topics in areas such as Digital video, Image sensor, Mobile device and Task. His Information retrieval research incorporates themes from Data stream and Field.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Improved wavelet-based watermarking through pixel-wise masking

M. Barni;F. Bartolini;A. Piva.
IEEE Transactions on Image Processing (2001)

1344 Citations

A DCT-domain system for robust image watermarking

Mauro Barni;Franco Bartolini;Vito Cappellini;Alessandro Piva.
Signal Processing (1998)

1195 Citations

DCT-based watermark recovering without resorting to the uncorrupted original image

A. Piva;M. Barni;F. Bartolini;V. Cappellini.
international conference on image processing (1997)

692 Citations

Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts

T. Bianchi;A. Piva.
IEEE Transactions on Information Forensics and Security (2012)

384 Citations

An Overview on Image Forensics

Alessandro Piva.
International Scholarly Research Notices (2013)

363 Citations

Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts

P. Ferrara;T. Bianchi;A. De Rosa;A. Piva.
IEEE Transactions on Information Forensics and Security (2012)

277 Citations

An overview on video forensics

P. Bestagini;K. M. Fontani;S. Milani;M. Barni.
european signal processing conference (2012)

275 Citations

A new decoder for the optimum recovery of nonadditive watermarks

M. Barni;F. Bartolini;A. De Rosa;A. Piva.
IEEE Transactions on Image Processing (2001)

269 Citations

On the Implementation of the Discrete Fourier Transform in the Encrypted Domain

T. Bianchi;A. Piva;M. Barni.
IEEE Transactions on Information Forensics and Security (2009)

254 Citations

Privacy-preserving fingercode authentication

Mauro Barni;Tiziano Bianchi;Dario Catalano;Mario Di Raimondo.
acm workshop on multimedia and security (2010)

234 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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