A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields

2011 IEEE International Symposium on Multimedia ◽

10.1109/ism.2011.44 ◽

2011 ◽

Author(s):

M.J. Shafiee ◽

Z. Azimifar ◽

A. Wong ◽

P. Fieguth

Keyword(s):

Hierarchical Model ◽

Random Fields ◽

Conditional Random Fields ◽

Model Based ◽

Spatio Temporal ◽

Frame Rate Up Conversion

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Spatio-Temporal Convolutional Neural Network for Frame Rate Up-Conversion

Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence - ISMSI 2019 ◽

10.1145/3325773.3325777 ◽

2019 ◽

Author(s):

Yusuke Tanaka ◽

Toshiaki Omori

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Spatio Temporal ◽

Frame Rate Up Conversion

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Sign Language Spotting with a Threshold Model Based on Conditional Random Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2008.172 ◽

2009 ◽

Vol 31 (7) ◽

pp. 1264-1277 ◽

Author(s):

H.-D. Yang ◽

S. Sclaroff ◽

S.-W. Lee

Keyword(s):

Sign Language ◽

Random Fields ◽

Conditional Random Fields ◽

Threshold Model ◽

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Multi-Channel Mixed-Pattern Based Frame Rate Up-Conversion Using Spatio-Temporal Motion Vector Refinement and Dual-Weighted Overlapped Block Motion Compensation

Journal of Display Technology ◽

10.1109/jdt.2014.2334598 ◽

2014 ◽

Vol 10 (12) ◽

pp. 1010-1023 ◽

Author(s):

Ran Li ◽

Zongliang Gan ◽

Ziguan Cui ◽

Guijin Tang ◽

Xiuchang Zhu

Keyword(s):

Motion Compensation ◽

Motion Vector ◽

Block Motion ◽

Spatio Temporal ◽

Frame Rate Up Conversion ◽

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Parameter estimation of Conditional Random Fields model based on cloud computing

2012 IEEE International Conference on Granular Computing ◽

10.1109/grc.2012.6468560 ◽

2012 ◽

Author(s):

Wenguang Chen ◽

Yangyang Li ◽

Haoyi Wang ◽

I-Jen Chiang

Keyword(s):

Cloud Computing ◽

Parameter Estimation ◽

Random Fields ◽

Conditional Random Fields ◽

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Integrating multiple observations for model-based single-microphone speech separation with conditional random fields

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2012.6287866 ◽

2012 ◽

Author(s):

Yu Ting Yeung ◽

Tan Lee ◽

Cheung-Chi Leung

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Speech Separation ◽

Model Based ◽

Multiple Observations

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A Parallel Conditional Random Fields Model Based on Spark Computing Environment

Journal of Grid Computing ◽

10.1007/s10723-017-9404-4 ◽

2017 ◽

Vol 15 (3) ◽

pp. 323-342 ◽

Author(s):

Zhuo Tang ◽

Zhongming Fu ◽

Zherong Gong ◽

Kenli Li ◽

Keqin Li

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Computing Environment ◽

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STAR: Spatio-temporal altimeter waveform retracking using sparse representation and conditional random fields

Remote Sensing of Environment ◽

10.1016/j.rse.2017.07.024 ◽

2017 ◽

Vol 201 ◽

pp. 148-164 ◽

Author(s):

Ribana Roscher ◽

Bernd Uebbing ◽

Jürgen Kusche

Keyword(s):

Sparse Representation ◽

Random Fields ◽

Conditional Random Fields ◽

Waveform Retracking ◽

Spatio Temporal

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Frame rate up-conversion using forward-backward jointing motion estimation and spatio-temporal motion vector smoothing

2009 International Conference on Computer Engineering & Systems ◽

10.1109/icces.2009.5383061 ◽

2009 ◽

Author(s):

Truong Quang Vinh ◽

Young-Chul Kim ◽

Sung-Hoon Hong

Keyword(s):

Motion Estimation ◽

Motion Vector ◽

Spatio Temporal ◽

Frame Rate Up Conversion

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A Hybrid Model Based on Inception Network and Conditional Random Fields for SAR Image Segmentation

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) ◽

10.1109/icicsp50920.2020.9232120 ◽

2020 ◽

Author(s):

Yinyin Jiang ◽

Ming Li ◽

Peng Zhang ◽

Xiaofeng Tan ◽

Beibei Li

Keyword(s):

Image Segmentation ◽

Hybrid Model ◽

Random Fields ◽

Conditional Random Fields ◽

Sar Image ◽

Model Based ◽

Sar Image Segmentation

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Unsupervised SAR image segmentation using high-order conditional random fields model based on product-of-experts

Pattern Recognition Letters ◽

10.1016/j.patrec.2016.03.032 ◽

2016 ◽

Vol 78 ◽

pp. 48-55 ◽

Author(s):

Peng Zhang ◽

Ming Li ◽

Yan Wu ◽

Lin An ◽

Lu Jia

Keyword(s):

Image Segmentation ◽

Random Fields ◽

Conditional Random Fields ◽

Sar Image ◽

Model Based ◽

Sar Image Segmentation

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