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.
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