D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 64 Citations 16,124 458 World Ranking 1186 National Ranking 67

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Her primary areas of investigation include Coding, Artificial intelligence, Computer vision, Algorithm and Encoder. Her Coding research focuses on Decoding methods and how it relates to Data compression and Arithmetic. Her work in Artificial intelligence addresses subjects such as Multiview Video Coding, which are connected to disciplines such as Smacker video.

Her Computer vision research incorporates elements of Information retrieval, Block-matching algorithm and Video compression picture types. Her biological study spans a wide range of topics, including Real-time computing and Lapped transform. Her work on Video decoder as part of general Encoder research is often related to ENCODE, thus linking different fields of science.

Her most cited work include:

  • Adaptive deblocking filter (759 citations)
  • Low-complexity transform and quantization in H.264/AVC (627 citations)
  • The SP- and SI-frames design for H.264/AVC (288 citations)

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

Marta Karczewicz mostly deals with Coding, Artificial intelligence, Algorithm, Computer vision and Decoding methods. Her work deals with themes such as Pixel, Encoder, Video decoder and Motion vector, which intersect with Coding. Her studies deal with areas such as Multiview Video Coding and Pattern recognition as well as Artificial intelligence.

Her Algorithm research incorporates themes from Real-time computing and Theoretical computer science. Her work carried out in the field of Computer vision brings together such families of science as Computer graphics, Block and Block-matching algorithm. Her Decoding methods research includes themes of Encoding and Arithmetic.

She most often published in these fields:

  • Coding (63.97%)
  • Artificial intelligence (43.92%)
  • Algorithm (41.50%)

What were the highlights of her more recent work (between 2018-2021)?

  • Coding (63.97%)
  • Algorithm (41.50%)
  • Artificial intelligence (43.92%)

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

Her scientific interests lie mostly in Coding, Algorithm, Artificial intelligence, Computer vision and Decoding methods. Her Coding research is multidisciplinary, relying on both Affine transformation, Encoder, Video decoder, Bitstream and Motion vector. The study incorporates disciplines such as Inverse and Mode in addition to Algorithm.

Her Artificial intelligence study combines topics from a wide range of disciplines, such as Luma and Pattern recognition. Her study in Computer vision is interdisciplinary in nature, drawing from both Compensation and Block. As a part of the same scientific family, Marta Karczewicz mostly works in the field of Decoding methods, focusing on Syntax and, on occasion, Arithmetic.

Between 2018 and 2021, her most popular works were:

  • Motion vector prediction for affine motion models in video coding (62 citations)
  • Inter prediction refinement based on bi-directional optical flow (BIO) (22 citations)
  • The Joint Exploration Model (JEM) for Video Compression With Capability Beyond HEVC (19 citations)

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

  • Artificial intelligence
  • Algorithm
  • Computer vision

The scientist’s investigation covers issues in Coding, Algorithm, Artificial intelligence, Computer vision and Motion vector. The concepts of her Coding study are interwoven with issues in Bitstream, Decoding methods, Random access and Affine transformation. Her biological study spans a wide range of topics, including Codec and Binary number.

Her work carried out in the field of Artificial intelligence brings together such families of science as Motion and Pattern recognition. Her studies in Computer vision integrate themes in fields like Video decoder, Luma, Coding tree unit and Block. Her work is dedicated to discovering how Motion vector, Current are connected with Spatial motion and other disciplines.

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.

Best Publications

Adaptive deblocking filter

P. List;A. Joch;J. Lainema;G. Bjontegaard.
IEEE Transactions on Circuits and Systems for Video Technology (2003)

1054 Citations

Low-complexity transform and quantization in H.264/AVC

H.S. Malvar;A. Hallapuro;M. Karczewicz;L. Kerofsky.
IEEE Transactions on Circuits and Systems for Video Technology (2003)

1044 Citations

The SP- and SI-frames design for H.264/AVC

M. Karczewicz;R. Kurceren.
IEEE Transactions on Circuits and Systems for Video Technology (2003)

432 Citations

Video coding with large macroblocks

Peisong Chen;Yan Ye;Marta Karczewicz.
(2009)

266 Citations

CONTEXT-BASED ADAPTIVE VARIABLE LENGTH CODING FOR ADAPTIVE BLOCK TRANSFORMS

Marta Karczewicz;Justin Ridge.
(2003)

252 Citations

Improved h.264 intra coding based on bi-directional intra prediction, directional transform, and adaptive coefficient scanning

Yan Ye;M. Karczewicz.
international conference on image processing (2008)

251 Citations

Method and system for context-based adaptive binary arithmetic coding

Marta Karczewicz;Ragip Kurceren.
(2001)

227 Citations

Method for sub-pixel value interpolation

Marta Karczewicz;Antti Olli Hallapuro.
(2002)

210 Citations

Method for encoding and decoding video information, a motion compensated video encoder and a corresponding decoder

Jani Lainema;Marta Karczewicz.
(2001)

192 Citations

Coding of transform coefficients for video coding

Joel Sole Rojals;Rajan Laxman Joshi;Marta Karczewicz.
(2012)

191 Citations

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