H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 75 Citations 22,748 554 World Ranking 594 National Ranking 361

Research.com Recognitions

Awards & Achievements

2014 - ACM Senior Member

2003 - Fellow of the Indian National Academy of Engineering (INAE)

1998 - SPIE Fellow

1997 - IEEE Fellow For contributions to image compression and processing.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Operating system

His primary scientific interests are in Artificial intelligence, Computer vision, Image processing, Digital watermarking and Pattern recognition. His research on Artificial intelligence frequently links to adjacent areas such as Algorithm. His Image processing study combines topics in areas such as Motion estimation, Mobile computing, Motion analysis and Digital camera.

His Digital watermarking research includes elements of Watermark, Multimedia and Digital image. His Watermark study incorporates themes from Information hiding and Authentication. He interconnects Transform coding and Decoding methods in the investigation of issues within Data compression.

His most cited work include:

  • Image Compression Using Block Truncation Coding (782 citations)
  • Perceptual watermarks for digital images and video (648 citations)
  • Digital watermarking: algorithms and applications (601 citations)

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

Edward J. Delp mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Image processing and Algorithm. His studies in Image segmentation, Segmentation, Data compression, Image and Pixel are all subfields of Artificial intelligence research. His studies deal with areas such as Transform coding, Real-time computing, Codec and Image compression as well as Data compression.

Motion compensation, Feature extraction, Digital watermarking, Video tracking and Image texture are the core of his Computer vision study. His Digital watermarking study also includes

  • Multimedia together with Mobile device,
  • Digital image that connect with fields like Watermark. His work carried out in the field of Algorithm brings together such families of science as Speech recognition and Coding.

He most often published in these fields:

  • Artificial intelligence (55.36%)
  • Computer vision (40.48%)
  • Pattern recognition (17.69%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (55.36%)
  • Computer vision (40.48%)
  • Pattern recognition (17.69%)

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

Edward J. Delp mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Convolutional neural network and Segmentation. His research in Artificial intelligence focuses on subjects like Microscopy, which are connected to Image quality. His research in Computer vision is mostly concerned with Color image.

His studies in Pattern recognition integrate themes in fields like Histogram, Process and Synthetic data. His study in Convolutional neural network is interdisciplinary in nature, drawing from both Artificial neural network, Recurrent neural network, Data compression and System identification. Many of his studies on Segmentation apply to Ground truth as well.

Between 2014 and 2021, his most popular works were:

  • Deepfake Video Detection Using Recurrent Neural Networks (216 citations)
  • First Steps Toward Camera Model Identification With Convolutional Neural Networks (134 citations)
  • A Two Stream Siamese Convolutional Neural Network for Person Re-identification (131 citations)

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

  • Artificial intelligence
  • Computer vision
  • Operating system

His primary areas of study are Artificial intelligence, Computer vision, Convolutional neural network, Pattern recognition and Image segmentation. His Microscopy research extends to Artificial intelligence, which is thematically connected. In his study, Watermark, Embedding, Wiener filter, Digital camera and Digital watermarking is inextricably linked to Robustness, which falls within the broad field of Computer vision.

His Pattern recognition research is multidisciplinary, incorporating perspectives in Matching, Histogram, Detector and Image retrieval. The concepts of his Image segmentation study are interwoven with issues in Midpoint, Information retrieval and Dietary assessment. His Image processing course of study focuses on Synthetic data and Process.

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

Perceptual watermarks for digital images and video

Raymond B. Wolfgang;Christine I. Podilchuk;Edward J. Delp.
Proceedings of the IEEE (1999)

1115 Citations

Image Compression Using Block Truncation Coding

E. Delp;O. Mitchell.
IEEE Transactions on Communications (1979)

1103 Citations

Digital watermarking: algorithms and applications

C.I. Podilchuk;E.J. Delp.
IEEE Signal Processing Magazine (2001)

991 Citations

A watermark for digital images

R.B. Wolfgang;E.J. Delp.
international conference on image processing (1996)

751 Citations

An iterative growing and pruning algorithm for classification tree design

S.B. Gelfand;C.S. Ravishankar;E.J. Delp.
systems man and cybernetics (1989)

352 Citations

The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation

Fengqing Zhu;Marc Bosch;Insoo Woo;SungYe Kim.
IEEE Journal of Selected Topics in Signal Processing (2010)

327 Citations

Optimum color spaces for skin detection

A. Albiol;L. Torres;E.J. Delp.
international conference on image processing (2001)

322 Citations

Detection of image alterations using semifragile watermarks

Eugene T. Lin;Christine I. Podilchuk;Edward J. Delp.
electronic imaging (2000)

322 Citations

Advances in Digital Video Content Protection

E.I. Lin;A.M. Eskicioglu;R.L. Lagendijk;E.J. Delp.
Proceedings of the IEEE (2005)

311 Citations

A Review of Fragile Image Watermarks

Eugene T. Lin;Edward J. Delp.
(2007)

291 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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