Spatial filtering restricts the attentional window during both singleton and feature-based visual search

Attention Perception & Psychophysics ◽

10.3758/s13414-020-01977-5 ◽

2020 ◽

Vol 82 (5) ◽

pp. 2360-2378

Author(s):

Nick Berggren ◽

Martin Eimer

Keyword(s):

Visual Search ◽

Spatial Filtering ◽

Attentional Window ◽

Download Full-text

Neural basis of feature-based contextual effects on visual search behavior

Frontiers in Behavioral Neuroscience ◽

10.3389/fnbeh.2011.00091 ◽

2012 ◽

Vol 5 ◽

Author(s):

Kelly Shen ◽

Martin Paré

Keyword(s):

Visual Search ◽

Search Behavior ◽

Contextual Effects ◽

Neural Basis ◽

Download Full-text

Is Feature-Based Attention Always Spatially Global during Visual Search?

Journal of Neuroscience ◽

10.1523/jneurosci.1616-14.2014 ◽

2014 ◽

Vol 34 (26) ◽

pp. 8662-8664 ◽

Author(s):

J. J. Foster ◽

K. C. S. Adam

Keyword(s):

Visual Search ◽

Download Full-text

Is there feature-based attentional selection in visual search?

Journal of Experimental Psychology Human Perception & Performance ◽

10.1037/0096-1523.22.3.758 ◽

1996 ◽

Vol 22 (3) ◽

pp. 758-779 ◽

Author(s):

Shui-I Shih ◽

George Sperling

Keyword(s):

Visual Search ◽

Attentional Selection ◽

Download Full-text

Feature-Based Attention in the Frontal Eye Field and Area V4 during Visual Search

Neuron ◽

10.1016/j.neuron.2011.04.032 ◽

2011 ◽

Vol 70 (6) ◽

pp. 1205-1217 ◽

Author(s):

Huihui Zhou ◽

Robert Desimone

Keyword(s):

Visual Search ◽

Frontal Eye Field ◽

Area V4 ◽

Eye Field ◽

Download Full-text

Object- and feature-based priming in visual search

Journal of Vision ◽

10.1167/8.6.868 ◽

2010 ◽

Vol 8 (6) ◽

pp. 868-868

Author(s):

A. Kristjansson ◽

A. Ingvarsdottir ◽

U. Teitsdottir

Keyword(s):

Visual Search ◽

Download Full-text

[Paper] Adaptive Substring Extraction and Modified Local NBNN Scoring for Binary Feature-based Local Mobile Visual Search without False Positives

ITE Transactions on Media Technology and Applications ◽

10.3169/mta.5.24 ◽

2017 ◽

Vol 5 (1) ◽

pp. 24-34 ◽

Author(s):

Yusuke Uchida ◽

Shigeyuki Sakazawa ◽

Shin'ichi Satoh

Keyword(s):

Visual Search ◽

False Positives ◽

Binary Feature ◽

Mobile Visual Search ◽

Download Full-text

Mechanisms of Feature-Based Attentional Selection in Visual Search

PsycEXTRA Dataset ◽

10.1037/e537272012-563 ◽

1994 ◽

Author(s):

George Sperling ◽

Shui-I Shih

Keyword(s):

Visual Search ◽

Attentional Selection ◽

Download Full-text

Hybrid feature-based wallpaper visual search

2015 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas.2015.7168737 ◽

2015 ◽

Author(s):

Kim-Hui Yap ◽

Zhenwei Miao

Keyword(s):

Visual Search ◽

Download Full-text

Missed cancer and visual search of mammograms: what feature based machine-learning can tell us that deep-convolution learning cannot

Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment ◽

10.1117/12.2512539 ◽

2019 ◽

Author(s):

Suneeta Mall ◽

Elizabeth A. Krupinski ◽

Claudia R. Mello-Thoms

Keyword(s):

Machine Learning ◽

Visual Search ◽

Download Full-text

Visual Search Method for Garment Image Based on SIFT

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.333-335.920 ◽

2013 ◽

Vol 333-335 ◽

pp. 920-923

Author(s):

Zheng Dong Liu ◽

Hong Yun Xiong ◽

Ya Yan Wang

Keyword(s):

Visual Search ◽

Search Engine ◽

Search Method ◽

Feature Points ◽

Sift Algorithm ◽

Feature Based ◽

How to meet the customers requirement in product search is an import problem. Because the high-growing of e-commerce, a new demand emerges: the special-purpose search engine for searching goods from network shop. Our work focuses on the garment retrieval from the e-shopping database, which supports feature-based retrieval by shape categories and styles. This paper uses color and style characteristics of the garment images as a query information, based on the SIFT algorithm retrieval feature points of the garment image, and then using K-Means method to cluster the feature points. Use features to retrieve matching image from database of garment images.

Download Full-text