H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 6,313 158 World Ranking 6884 National Ranking 23

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

Aljosa Smolic focuses on Computer vision, Artificial intelligence, Rendering, Multiview Video Coding and View synthesis. His Computer vision research is multidisciplinary, incorporating elements of Coding and Computer graphics, Stereo display. His study brings together the fields of Graphics and Artificial intelligence.

His work carried out in the field of Rendering brings together such families of science as Multimedia and Polygon mesh. The various areas that Aljosa Smolic examines in his Multiview Video Coding study include Data compression and Video processing. His Data compression study combines topics in areas such as Video tracking, Video compression picture types, Decoding methods and Image processing.

His most cited work include:

  • Multi-View Video Plus Depth Representation and Coding (393 citations)
  • Depth map creation and image-based rendering for advanced 3DTV services providing interoperability and scalability (367 citations)
  • Coding Algorithms for 3DTV—A Survey (287 citations)

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

Aljosa Smolic mainly focuses on Artificial intelligence, Computer vision, Virtual reality, Computer graphics and Rendering. Aljosa Smolic applies his multidisciplinary studies on Artificial intelligence and Omnidirectional antenna in his research. Multiview Video Coding, Stereoscopy, Motion compensation, Data compression and RGB color model are among the areas of Computer vision where the researcher is concentrating his efforts.

His work focuses on many connections between Multiview Video Coding and other disciplines, such as Video compression picture types, that overlap with his field of interest in Coding tree unit. Aljosa Smolic combines subjects such as Visualization and Viewport with his study of Virtual reality. His Computer graphics research is multidisciplinary, incorporating perspectives in 2D to 3D conversion, 3D reconstruction, Image warping and Image texture.

He most often published in these fields:

  • Artificial intelligence (60.89%)
  • Computer vision (52.48%)
  • Virtual reality (14.85%)

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

  • Artificial intelligence (60.89%)
  • Computer vision (52.48%)
  • Light field (11.39%)

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

His main research concerns Artificial intelligence, Computer vision, Light field, Virtual reality and Image. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His Light field study integrates concerns from other disciplines, such as Algorithm, Angular resolution, Ray and Interpolation.

The Angular resolution study combines topics in areas such as Data mining and View synthesis. Aljosa Smolic has researched Interpolation in several fields, including Aperture, Extrapolation, Spatial frequency and Rendering. His research investigates the connection between Virtual reality and topics such as Augmented reality that intersect with problems in Data compression and Engineering ethics.

Between 2018 and 2021, his most popular works were:

  • Visual Attention-Aware Omnidirectional Video Streaming Using Optimal Tiles for Virtual Reality (30 citations)
  • Subjective and objective quality assessment for volumetric video compression (19 citations)
  • Deep Tone Mapping Operator for High Dynamic Range Images (18 citations)

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

  • Artificial intelligence
  • Computer vision
  • Statistics

Aljosa Smolic focuses on Artificial intelligence, Virtual reality, Computer vision, Light field and Convolutional neural network. As part of his studies on Artificial intelligence, Aljosa Smolic often connects relevant areas like Pattern recognition. His study in Virtual reality is interdisciplinary in nature, drawing from both Augmented reality and Data compression.

His research in Computer vision is mostly focused on Image quality. His Light field research includes elements of Depth map, Algorithm, Noise reduction and Interpolation. His Noise reduction research incorporates elements of Cinematography, Extrapolation, Spatial frequency and Rendering.

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

Multi-View Video Plus Depth Representation and Coding

P. Merkle;A. Smolic;K. Muller;T. Wiegand.
international conference on image processing (2007)

564 Citations

Depth map creation and image-based rendering for advanced 3DTV services providing interoperability and scalability

P. Kauff;N. Atzpadin;C. Fehn;M. Müller.
Signal Processing-image Communication (2007)

470 Citations

Coding Algorithms for 3DTV—A Survey

A. Smolic;K. Mueller;N. Stefanoski;J. Ostermann.
IEEE Transactions on Circuits and Systems for Video Technology (2007)

434 Citations

3D Video and Free Viewpoint Video - Technologies, Applications and MPEG Standards

A. Smolic;K. Mueller;P. Merkle;C. Fehn.
international conference on multimedia and expo (2006)

410 Citations

The effects of multiview depth video compression on multiview rendering

P. Merkle;Y. Morvan;A. Smolic;D. Farin.
Signal Processing-image Communication (2009)

335 Citations

Intermediate view synthesis and multi-view data signal extraction

Aljosa Smolic;Karsten Mueller;Kristina Dix.
(2009)

270 Citations

Intermediate view interpolation based on multiview video plus depth for advanced 3D video systems

A. Smolic;K. Muller;K. Dix;P. Merkle.
international conference on image processing (2008)

250 Citations

Long-term global motion estimation and its application for sprite coding, content description, and segmentation

A. Smolic;T. Sikora;J.-R. Ohm.
IEEE Transactions on Circuits and Systems for Video Technology (1999)

232 Citations

3DAV exploration of video-based rendering technology in MPEG

A. Smolic;D. McCutchen.
IEEE Transactions on Circuits and Systems for Video Technology (2004)

213 Citations

SIFT Implementation and Optimization for General-Purpose GPU

S. Heymann;K. Müller;A. Smolic;B. Fröhlich.
(2007)

204 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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