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Signal Processing: Image Communication, Volume 69

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Volume 69, November 2018

Salient360: Visual attention modeling for 360° Images

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Yuming Fang, Xiaoqiang Zhang, Nevrez Imamoglu:
A novel superpixel-based saliency detection model for 360-degree images. 1-7
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  - journals/spic/AssensNMO18
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Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
Scanpath and saliency prediction on 360 degree images. 8-14
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Yucheng Zhu, Guangtao Zhai, Xiongkuo Min:
The prediction of head and eye movement for 360 degree images. 15-25
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  - journals/spic/MonroyLCS18
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Rafael Monroy, Sebastian Lutz, Tejo Chalasani, Aljosa Smolic:
SalNet360: Saliency maps for omni-directional images with CNN. 26-34
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  - journals/spic/GutierrezDRC18
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Jesús Gutiérrez, Erwan J. David, Yashas Rai, Patrick Le Callet:
Toolbox and dataset for the development of saliency and scanpath models for omnidirectional/360° still images. 35-42
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  - journals/spic/StartsevD18
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Mikhail Startsev, Michael Dorr:
360-aware saliency estimation with conventional image saliency predictors. 43-52
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  - journals/spic/BattistiBBC18
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Federica Battisti, Sara Baldoni, Michele Brizzi, Marco Carli:
A feature-based approach for saliency estimation of omni-directional images. 53-59
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Jing Ling, Kao Zhang, Yingxue Zhang, Daiqin Yang, Zhenzhong Chen:
A saliency prediction model on 360 degree images using color dictionary based sparse representation. 60-68
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Pierre R. Lebreton, Alexander Raake:
GBVS360, BMS360, ProSal: Extending existing saliency prediction models from 2D to omnidirectional images. 69-78

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