His main research concerns Artificial intelligence, Pattern recognition, Multimedia, Image texture and Local binary patterns. In the subject of general Artificial intelligence, his work in Grayscale is often linked to Autoregressive model and Invariant, thereby combining diverse domains of study. His studies deal with areas such as Histogram and Feature as well as Pattern recognition.
His Multimedia study integrates concerns from other disciplines, such as Urban computing, Human–computer interaction, Interface and Provisioning. His Image texture study incorporates themes from Contextual image classification and Algorithm. His work on Texture Descriptor as part of general Local binary patterns research is frequently linked to Invariant, bridging the gap between disciplines.
His primary areas of study are Multimedia, Human–computer interaction, Ubiquitous computing, World Wide Web and Artificial intelligence. His research investigates the connection with Multimedia and areas like Mobile computing which intersect with concerns in Mobile agent, The Internet and Wireless sensor network. The various areas that Timo Ojala examines in his Human–computer interaction study include User interface, Interface and Virtual machine.
His Ubiquitous computing research integrates issues from Urban computing and Software deployment. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Pattern recognition. His studies link Contextual image classification with Image texture.
Timo Ojala spends much of his time researching Human–computer interaction, Virtual reality, Multimedia, World Wide Web and Augmented reality. The study incorporates disciplines such as Interface, Creativity and Field in addition to Human–computer interaction. His studies in Virtual reality integrate themes in fields like Virtual machine, Object and Visualization.
In his research, Timo Ojala undertakes multidisciplinary study on Multimedia and Interface. His research in the fields of Social media, Web modeling and Web application overlaps with other disciplines such as Virtual city. His research integrates issues of User Research, Novelty and Information sharing in his study of Ubiquitous computing.
Timo Ojala mostly deals with Human–computer interaction, Multimedia, Participatory design, World Wide Web and Interface. His study in the field of Public displays also crosses realms of Blindness. His research brings together the fields of Rendering and Multimedia.
His work in the fields of World Wide Web, such as Web modeling and Social media, overlaps with other areas such as Skin, Virtual city and Conceptual development. Timo Ojala has included themes like Web application and Download in his Web modeling study. The concepts of his Interface study are interwoven with issues in Fantasy, Process and Layer.
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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
T. Ojala;M. Pietikainen;T. Maenpaa.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)
A comparative study of texture measures with classification based on featured distributions
Timo Ojala;Matti Pietikäinen;David Harwood.
Pattern Recognition (1996)
Performance evaluation of texture measures with classification based on Kullback discrimination of distributions
T. Ojala;M. Pietikainen;D. Harwood.
international conference on pattern recognition (1994)
Outex - new framework for empirical evaluation of texture analysis algorithms
T. Ojala;T. Maenpaa;M. Pietikainen;J. Viertola.
international conference on pattern recognition (2002)
Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns
Timo Ojala;Matti Pietikäinen;Topi Mäenpää.
european conference on computer vision (2000)
Rotation-invariant texture classification using feature distributions
Matti Pietikäinen;Timo Ojala;Zelin Xu.
Pattern Recognition (2000)
Unsupervised texture segmentation using feature distributions
Timo Ojala;Matti Pietikäinen.
Pattern Recognition (1999)
Bluetooth and WAP push based location-aware mobile advertising system
Lauri Aalto;Nicklas Göthlin;Jani Korhonen;Timo Ojala.
international conference on mobile systems, applications, and services (2004)
Texture discrimination with multidimensional distributions of signed gray-level differences
Timo Ojala;Kimmo Valkealahti;Erkki Oja;Matti Pietikäinen.
Pattern Recognition (2001)
A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification
Timo Ojala;Matti Pietikäinen;Topi Mäenpää.
international conference on advances in pattern recognition (2001)
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