Attention and Performance in Computational Vision: Second by Ola Ramström, Henrik I Christensen (auth.), Lucas Paletta,

By Ola Ramström, Henrik I Christensen (auth.), Lucas Paletta, John K. Tsotsos, Erich Rome, Glyn Humphreys (eds.)

Inrecentresearchoncomputervisionsystems,attentionhasbeenplayingacrucialrolein mediatingbottom-upandtop-downpathsofinformationprocessing. Inappliedresearch, the advance of allowing applied sciences comparable to miniaturized cellular sensors, video surveillance platforms, and ambient intelligence platforms includes the real-time research of large amounts of information. wisdom needs to be utilized approximately what should be attendedto,andwhen,andwhattodoinameaningfulsequence,incorrespondencewith visible suggestions. tools on recognition and keep an eye on are essential to render laptop imaginative and prescient structures extra strong. The 2d overseas Workshop on realization and function in Computational imaginative and prescient (WAPCV 2004) was once held within the Czech Technical collage of Prague, Czech Republic, as an linked workshop of the eighth ecu convention on laptop - sion (ECCV 2004). The target of this workshop used to be to supply an interdisciplinary discussion board tocommunicatecomputationalmodelsofvisualattentionfromvariousviewpoints,such as from desktop imaginative and prescient, psychology, robotics and neuroscience. the incentive for - terdisciplinarity used to be communique and thought past the person group, to concentration dialogue on computational modelling, to stipulate proper targets for p- formance comparability, to discover promising program domain names, and to debate those almost about all comparable features of cognitive imaginative and prescient. The workshop was once held as a single-day, single-track occasion, inclusive of top of the range podium and poster presen- tions. Invited talks got via John okay. Tsotsos approximately cognizance and have binding in biologically prompted computing device imaginative and prescient and by way of Gustavo Deco concerning the context of consciousness, reminiscence and present from the viewpoint of computational neuroscience. The interdisciplinary application committee used to be composed of 21 the world over r- ognized researchers.

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Additional info for Attention and Performance in Computational Vision: Second International Workshop, WAPCV 2004, Prague, Czech Republic, May 15, 2004, Revised Selected Papers

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4) maps → c1 c2 c3 c4 c5 c1 38146 5546 2981 1425 218 c2 1820 44418 1382 624 72 c3 1495 2094 41989 2548 190 c4 1036 1136 3725 40775 1644 c5 166 192 400 2709 44849 Partial Occlusion and Gaussian Noise. For a thorough performance analysis in case of image corruption, we applied partial occlusion of 0 − 90% and Gaussian noise to pixel brightness. For determining the occlusion area, we selected random center positions of the black occluding squared windows within the object regions, and computed the window size related to the total number of pixels attributed to a given object.

Nuflo. Modeling visual attention via selective tuning. Artificial intelligence, 78(1-2):507–545, 1995. 24. E. H. Ballard. Using intermediate objects to improve the efficiency of visual-search. IJCV, 12(2-3):209–230, April 1994. 25. M. Wolfe. 0: A revised model of visual search. Psychonomic Bulletin and Review, 1(2):202–238, 1994. 26. L. Yarbus. Eye Movements and Vision. Plenum Press, New York, 1967. at Abstract. A major goal of selective attention is to focus processing on relevant information to enable rapid and robust task performance.

The hypothesis suggests that responses of neurons, such as those that encode object features, are determined by competitive interactions. This competition is subject to a number of biases, such as "bottom-up" stimulus information and "top-down" cognitive requirements, for example a working memory template of the target object during visual search. g. [7][8][9], have been able to replicate a range of experimental data. However, there has been no systems level modelling of the biased competition hypothesis for active visual search, where retinal inputs change as the focus of attention is shifted.

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