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ACIVS
2006
Springer
15 years 1 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
BMVC
1998
14 years 11 months ago
Segmentation of Global Motion using Temporal Probabilistic Classification
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
P. R. Giaccone, Graeme A. Jones
CGF
1998
110views more  CGF 1998»
14 years 9 months ago
Optical Flow Rendering
This paper proposes a new approach to image-based rendering that generates an image viewed from an arbitrary camera position and orientation by rendering optical flows extracted ...
Tae-Joon Park, Seungyong Lee, Sung Yong Shin
81
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CIVR
2008
Springer
182views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Fusion of audio and visual cues for laughter detection
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we present an audiovisual approach to distinguishing laughter from speech and we sh...
Stavros Petridis, Maja Pantic
RECOMB
2010
Springer
14 years 11 months ago
naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...
Wei-Chun Kao, Yun S. Song