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ORCIDVille Viitaniemi
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2010 – 2019
- 2014
[c28]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen:
2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings. ICIAR (2) 2014: 29-38- [c27]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen
:
Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos. ICPR 2014: 2584-2589 - [c26]Matti Karppa, Ville Viitaniemi, Marcos Luzardo, Jorma Laaksonen, Tommi Jantunen:
SLMotion - An extensible sign language oriented video analysis tool. LREC 2014: 1886-1891 - [c25]Ville Viitaniemi, Tommi Jantunen, Leena Savolainen, Matti Karppa, Jorma Laaksonen:
S-pot - a benchmark in spotting signs within continuous signing. LREC 2014: 1892-1897 - 2013
- [c24]Ville Viitaniemi, Matti Karppa, Jorma Laaksonen, Tommi Jantunen:
Detecting Hand-Head Occlusions in Sign Language Video. SCIA 2013: 361-372 - 2012
- [b1]Ville Viitaniemi:
Visual category detection: an experimental perspective ; Visuaalisten kategorioiden tunnistaminen: kokeellinen näkökulma. Aalto University, Espoo, Finland, 2012 - [c23]Matti Karppa, Tommi Jantunen, Ville Viitaniemi, Jorma Laaksonen, Birgitta Burger, Danny De Weerdt:
Comparing computer vision analysis of signed language video with motion capture recordings. LREC 2012: 2421-2425 - 2010
- [c22]Ville Viitaniemi, Jorma Laaksonen:
Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition. ICANN (1) 2010: 531-540 - [c21]Mats Sjöberg, Markus Koskela, Ville Viitaniemi, Jorma Laaksonen:
PicSOM Experiments in ImageCLEF RobotVision. ICPR Contests 2010: 190-199
2000 – 2009
- 2009
- [c20]Ville Viitaniemi, Jorma Laaksonen:
Spatial extensions to bag of visual words. CIVR 2009 - [c19]Ville Viitaniemi, Jorma Laaksonen:
Representing Images with chi2 Distance Based Histograms of SIFT Descriptors. ICANN (2) 2009: 694-703 - [c18]Ville Viitaniemi, Jorma Laaksonen:
Combining Local Feature Histograms of Different Granularities. SCIA 2009: 636-645 - [c17]Mats Sjöberg, Ville Viitaniemi, Markus Koskela, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2009. TRECVID 2009 - 2008
- [c16]Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2008. TRECVID 2008 - [c15]Ville Viitaniemi, Jorma Laaksonen:
Experiments on Selection of Codebooks for Local Image Feature Histograms. VISUAL 2008: 126-137 - [c14]Ville Viitaniemi, Jorma Laaksonen:
Techniques for Image Classification, Object Detection and Object Segmentation. VISUAL 2008: 231-234 - [c13]Ville Viitaniemi, Mats Sjöberg, Markus Koskela, Jorma Laaksonen:
Exploiting Temporal and Inter-concept Co-occurrence Structure to Detect High-Level Features in Broadcast Videos. WIAMIS 2008: 12-15 - 2007
- [j1]Ville Viitaniemi, Jorma Laaksonen:
Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features. Signal Process. Image Commun. 22(6): 557-568 (2007) - [c12]Ville Viitaniemi, Jorma Laaksonen:
Evaluating Performance of Automatic Image Annotation: Example Case by Fusing Global Image Features. CBMI 2007: 251-258 - [c11]Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu:
Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF 2007: 445-471 - [c10]Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín-Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu:
Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF (Working Notes) 2007 - [c9]Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi, Hannes Muurinen:
Rushes summarization with self-organizing maps. TVS 2007: 45-49 - [c8]Ville Viitaniemi, Jorma Laaksonen:
Improving the Accuracy of Global Feature Fusion Based Image Categorisation. SAMT 2007: 1-14 - [c7]Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Philip Prentis:
PicSOM Experiments in TRECVID 2007. TRECVID 2007 - [c6]Ville Viitaniemi, Jorma Laaksonen:
Empirical Investigations on Benchmark Tasks for Automatic Image Annotation. VISUAL 2007: 93-104 - 2006
- [c5]Ville Viitaniemi, Jorma Laaksonen:
Techniques for Still Image Scene Classification and Object Detection. ICANN (2) 2006: 35-44 - [c4]Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Timo Honkela:
Analysis of Semantic Information Available in an Image Collection Augmented with Auxiliary Data. AIAI 2006: 600-608 - [c3]Ville Viitaniemi, Jorma Laaksonen:
Use of Image Regions in Context-Adaptive Image Classification. SAMT 2006: 169-183 - 2005
- [c2]Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - 2003
- [c1]Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi:
Using Image Segments in PicSOM CBIR System. SCIA 2003: 1106-1113
Coauthor Index
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