Literature DB >> 24489403

Visual Attention and Applications in Multimedia Technologies.

Patrick Le Callet1, Ernst Niebur2.   

Abstract

Making technological advances in the field of human-machine interactions requires that the capabilities and limitations of the human perceptual system are taken into account. The focus of this report is an important mechanism of perception, visual selective attention, which is becoming more and more important for multimedia applications. We introduce the concept of visual attention and describe its underlying mechanisms. In particular, we introduce the concepts of overt and covert visual attention, and of bottom-up and top-down processing. Challenges related to modeling visual attention and their validation using ad hoc ground truth are also discussed. Examples of the usage of visual attention models in image and video processing are presented. We emphasize multimedia delivery, retargeting and quality assessment of image and video, medical imaging, and the field of stereoscopic 3D images applications.

Entities:  

Keywords:  Visual system; image analysis; image coding; image communication; image processing; multimedia systems; stereo vision; video signal processing

Year:  2013        PMID: 24489403      PMCID: PMC3902206          DOI: 10.1109/JPROC.2013.2265801

Source DB:  PubMed          Journal:  Proc IEEE Inst Electr Electron Eng        ISSN: 0018-9219            Impact factor:   10.961


  34 in total

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Journal:  IEEE Comput Graph Appl       Date:  2007 Sep-Oct       Impact factor: 2.088

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Authors:  Jeremy M Wolfe; George A Alvarez; Ruth Rosenholtz; Yoana I Kuzmova; Ashley M Sherman
Journal:  Atten Percept Psychophys       Date:  2011-08       Impact factor: 2.199

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Journal:  Neuropsychologia       Date:  1995-08       Impact factor: 3.139

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Journal:  Percept Psychophys       Date:  1995-08

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Journal:  Hum Neurobiol       Date:  1985

Review 9.  Computational modelling of visual attention.

Authors:  L Itti; C Koch
Journal:  Nat Rev Neurosci       Date:  2001-03       Impact factor: 34.870

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Authors:  Christopher Michael Masciocchi; Stefan Mihalas; Derrick Parkhurst; Ernst Niebur
Journal:  J Vis       Date:  2009-10-27       Impact factor: 2.240

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  2 in total

1.  A proto-object based saliency model in three-dimensional space.

Authors:  Brian Hu; Ralinkae Kane-Jackson; Ernst Niebur
Journal:  Vision Res       Date:  2016-01-19       Impact factor: 1.886

2.  Distorted Low-Level Visual Features Affect Saliency-Based Visual Attention.

Authors:  Hamed Bahmani; Siegfried Wahl
Journal:  Front Comput Neurosci       Date:  2016-11-29       Impact factor: 2.380

  2 in total

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