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.
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.
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.
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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Multi-View Video Plus Depth Representation and Coding
P. Merkle;A. Smolic;K. Muller;T. Wiegand.
international conference on image processing (2007)
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)
Coding Algorithms for 3DTV—A Survey
A. Smolic;K. Mueller;N. Stefanoski;J. Ostermann.
IEEE Transactions on Circuits and Systems for Video Technology (2007)
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)
The effects of multiview depth video compression on multiview rendering
P. Merkle;Y. Morvan;A. Smolic;D. Farin.
Signal Processing-image Communication (2009)
Intermediate view synthesis and multi-view data signal extraction
Aljosa Smolic;Karsten Mueller;Kristina Dix.
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)
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)
3DAV exploration of video-based rendering technology in MPEG
A. Smolic;D. McCutchen.
IEEE Transactions on Circuits and Systems for Video Technology (2004)
SIFT Implementation and Optimization for General-Purpose GPU
S. Heymann;K. Müller;A. Smolic;B. Fröhlich.
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