List of Articles توجه بصری

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  1 - Effect of Menu Location on Visual Attention of Users of Websites
  fatemeh seif reza oskouiezade
  Objective: In order to identify users’ visual attention to left- and right-aligned menus on web pages, fixation count index (FCI) was assessed for both left and right menus using eye tracker to determine which menu is preferred by users in terms of visual attention. Met More

  Objective: In order to identify users’ visual attention to left- and right-aligned menus on web pages, fixation count index (FCI) was assessed for both left and right menus using eye tracker to determine which menu is preferred by users in terms of visual attention. Methodology: In total, 116 pages with their menus aligned to left or right, classified into three groups, namely Persian pages, English pages, and Persian-English pages, were shown to 30 subjects who were asked to find a certain word in the menus. Eye tracker was used to collect and record the data pertaining to users’ fixation counts on each menu, as an indicator of their visual attention to the menus. Findings: No difference was found in terms of total fixation count on English pages with respect to menu direction (right or left). However, users’ total fixation counts varied, depending on menu direction (right or left), for Persian pages, Persian-English pages and, in general, for all pages of three sets, indicating a larger fixation count for right-side menus compared to the menus placed at the left side. Conclusion: Given the larger fixation count for right-aligned menus obtained in the present study and the well-established advantages of this type of menus, and since predictability of left-aligned menu has been an advantage in cultures where native languages are read from left to right, and because the previous studies have led to somehow mixed findings on fast performance of tasks and interaction with left-aligned menus, web designers and developers are recommended to use right-aligned menus in designing internal websites. Manuscript profile
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  2 - Visual Distractors Detecting in Images Using Weighted Two Phase Test Sample Sparse Representation Method
  F. Sabouri F. yaghmaee
  The image observer usually wants to receive the message and the main subject of the image in the shortest time. Hence, assuming there is useful information in the salient regions, the human vision system unconsciously guides visual attention towards them. This assumptio More

  The image observer usually wants to receive the message and the main subject of the image in the shortest time. Hence, assuming there is useful information in the salient regions, the human vision system unconsciously guides visual attention towards them. This assumption is not always correct in practice, and in some cases, salient regions merely cause visual distractions. Therefore, in different applications, a mechanism is needed to identify these regions. To prevent from distracting observer’s attention from the main subject, these regions are eliminated. Furthermore, neglecting these regions could be of considerable assistance to the methods that function base on salient regions recognition. So, in this paper, Based on the methods of the class imbalance challenge each segment of training images in the dataset is a partition to 9 classes according to the relevant mask in the dataset, that the number of each class is proportional to its disturbance intensity. Then, segment-based features are extracted and determining the class of each segment is determined according to WTPTSSR method, which is based on the Sparse Coding and Representation system.Finally, in order to precisely analyzing the proposed method and comparing it to other approaches, four analysis criteria with different performances are presented. According to results, despite being time-consuming, the proposed method has a higher accuracy than the previous ones. Manuscript profile
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  3 - Increase of Image Sharpness Using Visual Saliency
  Mina Vafaei Jahan Abbas Ebrahimi moghadam Morteza Khademi
  Increasing the sharpness of the image, in many cases, refers to strengthening its high frequency components and increasing the sharpness at the edges. In the existing models of increasing clarity, it is assumed that the sensitivity of the human visual system is the same More

  Increasing the sharpness of the image, in many cases, refers to strengthening its high frequency components and increasing the sharpness at the edges. In the existing models of increasing clarity, it is assumed that the sensitivity of the human visual system is the same in the whole scene, and the effects of visual attention caused by visual salience are not included in these models. Various studies have shown that visual sensitivity is higher in places that attract more attention. Therefore, increasing image clarity based on visual attention can cause greater perceived clarity in the image. In this article, a model for increasing image sharpness is proposed, which uses the relationship between the map of high frequency image components and visual salience to determine the optimal value of image sharpness. By using a non-linear function, the proposed model expresses the optimal sharpness value for an image according to its visual prominence. Determining the parameters of the nonlinear function in the form of a modeled optimization problem, the solution of which leads to finding the optimal sharpness value automatically. The results show that the proposed method has a more effective performance than the other compared methods if the appropriate values of the control parameters are selected. Manuscript profile