Bottom-up visual attention model based on FPGA

2012 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2012) ◽

10.1109/icecs.2012.6463735 ◽

2012 ◽

Author(s):

Francisco Barranco ◽

Javier Diaz ◽

Begona Pino ◽

Eduardo Ros

Keyword(s):

Visual Attention ◽

Bottom Up ◽

Visual Attention Model ◽

Attention Model ◽

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A visual attention model combining top-down and bottom-up mechanisms for salient object detection

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5946648 ◽

2011 ◽

Author(s):

Yuming Fang ◽

Weisi Lin ◽

Chiew Tong Lau ◽

Bu-Sung Lee

Keyword(s):

Visual Attention ◽

Object Detection ◽

Salient Object Detection ◽

Salient Object ◽

Top Down ◽

Bottom Up ◽

Visual Attention Model ◽

Attention Model ◽

Model Combining

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Feedback Selective Visual Attention Model Based on Feature Integration Theory

Lecture Notes in Computer Science - Advances in Neural Networks - ISNN 2004 ◽

10.1007/978-3-540-28648-6_77 ◽

2004 ◽

pp. 482-487

Author(s):

Lianwei Zhao ◽

Siwei Luo

Keyword(s):

Visual Attention ◽

Feature Integration ◽

Integration Theory ◽

Visual Attention Model ◽

Attention Model ◽

Selective Visual Attention ◽

Model Based ◽

Feature Integration Theory

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Visual attention model based dual watermarking for simultaneous image copyright protection and authentication

Multimedia Tools and Applications ◽

10.1007/s11042-020-09918-y ◽

2020 ◽

Author(s):

Subhadeep Koley

Keyword(s):

Visual Attention ◽

Copyright Protection ◽

Visual Attention Model ◽

Attention Model ◽

Model Based ◽

Dual Watermarking

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A random center surround bottom up visual attention model useful for salient region detection

2011 IEEE Workshop on Applications of Computer Vision (WACV) ◽

10.1109/wacv.2011.5711499 ◽

2011 ◽

Author(s):

Tadmeri Narayan Vikram ◽

Marko Tscherepanow ◽

Britta Wrede

Keyword(s):

Visual Attention ◽

Bottom Up ◽

Salient Region Detection ◽

Visual Attention Model ◽

Attention Model ◽

Salient Region ◽

Region Detection

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Visual attention model based on multi-scale local contrast of low-level features

IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS ◽

10.1109/icosp.2010.5656042 ◽

2010 ◽

Author(s):

Jie Zhang ◽

Jiande Sun ◽

Ju Liu ◽

Caixia Yang ◽

Hua Yan

Keyword(s):

Visual Attention ◽

Local Contrast ◽

Visual Attention Model ◽

Attention Model ◽

Low Level ◽

Multi Scale ◽

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Visual Attention Model Based on Particle Filter

KSII Transactions on Internet and Information Systems ◽

10.3837/tiis.2016.08.020 ◽

2016 ◽

Vol 10 (8) ◽

Keyword(s):

Visual Attention ◽

Particle Filter ◽

Visual Attention Model ◽

Attention Model ◽

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A Study of Top-Down Visual Attention Model Based on Similarity Distance

2009 2nd International Congress on Image and Signal Processing ◽

10.1109/cisp.2009.5304578 ◽

2009 ◽

Author(s):

Jing Zhang ◽

Li Zhuo ◽

Jingjing Gao ◽

Zhixing Liu

Keyword(s):

Visual Attention ◽

Top Down ◽

Visual Attention Model ◽

Attention Model ◽

Model Based ◽

Similarity Distance

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Visual attention model based mining area recognition on massive high-resolution remote sensing images

Cluster Computing ◽

10.1007/s10586-015-0438-8 ◽

2015 ◽

Vol 18 (2) ◽

pp. 541-548 ◽

Author(s):

Xiaolu Song ◽

Guojin He ◽

Zhaoming Zhang ◽

Tengfei Long ◽

Yan Peng ◽

...

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Visual Attention ◽

Mining Area ◽

Remote Sensing Images ◽

Visual Attention Model ◽

Attention Model ◽

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An Artificial Visual Attention Model based on Opponent Process Theory for Salient Region Segmentation

Journal of the Institute of Electronics and Information Engineers ◽

10.5573/ieie.2014.51.7.157 ◽

2014 ◽

Vol 51 (7) ◽

pp. 157-168

Author(s):

Kiseon Jeong ◽

Changpyo Hong ◽

Dong Sun Park

Keyword(s):

Visual Attention ◽

Process Theory ◽

Region Segmentation ◽

Visual Attention Model ◽

Attention Model ◽

Salient Region ◽

Model Based ◽

Opponent Process ◽

Opponent Process Theory

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Human Visual Attention Model Based on Analysis of Magic for Smooth Human–Robot Interaction

International Journal of Social Robotics ◽

10.1007/s12369-016-0354-y ◽

2016 ◽

Vol 8 (5) ◽

pp. 685-694 ◽

Author(s):

Yusuke Tamura ◽

Takafumi Akashi ◽

Shiro Yano ◽

Hisashi Osumi

Keyword(s):

Visual Attention ◽

Human Robot Interaction ◽

Robot Interaction ◽

Visual Attention Model ◽

Attention Model ◽

Model Based ◽

Human Visual Attention

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