VIP: Finding Important People in Images

People preserve memories of events such as birthdays, weddings, or vacations by capturing photos, often depicting groups of people. Invariably, some individuals in the image are more important than others given the context of the event. This paper analyzes the concept of the importance of individuals in group photographs. We address two specific questions -- Given an image, who are the most important individuals in it? Given multiple images of a person, which image depicts the person in the most important role? We introduce a measure of importance of people in images and investigate the correlation between importance and visual saliency. We find that not only can we automatically predict the importance of people from purely visual cues, incorporating this predicted importance results in significant improvement in applications such as im2text (generating sentences that describe images of groups of people)

Facets of Visual Aesthetics of Mobile Website

With the advent of the era of mobile commerce, user browse mobile website on mobile devices is in the majority. The current literature focused on the web aesthetics. However, there is no related visual aesthetics scale for mobile website. Our purpose in this study was to verify the essential characteristics of aesthetics by conceptualizing, constructing, refining, and testing a multiple-item scale, VisMWA, designed to measure aesthetics in the mobile environment. The results showed that five factors and 26 key indicators of VisMWA. The VisMWA scale developed by present study will be able to provide enterprise the standard when they are designing mobile website; and makes it become high-aesthetics mobile website to increase the visitors

Predictive modeling of webpage aesthetics

Aesthetics plays a key role in web design. However, most websites have been developed based on designers\u27 inspirations or preferences. While perceptions of aesthetics are intuitive abilities of humankind, the underlying principles for assessing aesthetics are not well understood. In recent years, machine learning methods have shown promising results in image aesthetic assessment. In this research, we used machine learning methods to study and explore the underlying principles of webpage aesthetics --Abstract, page iii

An analysis of the key factors affecting the success of a re-launched destination marketing website in the UK

Business Information Systems e-Commerce/e-business Computer Appl. in Social and Behavioral Sciences Marketing Information Systems Applications (incl. Internet)This paper presents a case study of the re-launch of a DMO website in the UK. It evaluates the perceived usability of the new website and identifies the key factors affecting customers’ intention to use the new website. A large-scale online survey was developed to understand a number of issues relating to usability (e.g. aesthetics, effectiveness) and psychological and behavioural indicators (e.g. perceived trustworthiness and intent to use). Both quantitative and qualitative data was analysed to understand users’ perceptions, behaviour and attitudes towards the re-launched website. A Structural Equation Model (SEM) was developed to identify the factors affecting their intention to use the new website. The SEM model identified the impact of a variety of factors on intention to use and the descriptive analysis, using both qualitative and quantitative data, highlights further areas of research

History of art paintings through the lens of entropy and complexity

Art is the ultimate expression of human creativity that is deeply influenced by the philosophy and culture of the corresponding historical epoch. The quantitative analysis of art is therefore essential for better understanding human cultural evolution. Here we present a large-scale quantitative analysis of almost 140 thousand paintings, spanning nearly a millennium of art history. Based on the local spatial patterns in the images of these paintings, we estimate the permutation entropy and the statistical complexity of each painting. These measures map the degree of visual order of artworks into a scale of order-disorder and simplicity-complexity that locally reflects qualitative categories proposed by art historians. The dynamical behavior of these measures reveals a clear temporal evolution of art, marked by transitions that agree with the main historical periods of art. Our research shows that different artistic styles have a distinct average degree of entropy and complexity, thus allowing a hierarchical organization and clustering of styles according to these metrics. We have further verified that the identified groups correspond well with the textual content used to qualitatively describe the styles, and that the employed complexity-entropy measures can be used for an effective classification of artworks.Comment: 10 two-column pages, 5 figures; accepted for publication in PNAS [supplementary information available at http://www.pnas.org/highwire/filestream/824089/field_highwire_adjunct_files/0/pnas.1800083115.sapp.pdf

Visual Aesthetics of E-Commerce Websites: An Eye-Tracking Approach

This study adopts four facets of visual aesthetics (i.e., simplicity, diversity, colorfulness, craftsmanship) to explain how they relate with users’ gaze patterns, based on how much they fixate on certain points, as well as how fast and how much distance their eyes cover. On a sample of 23 experienced users in online shopping, we collect eye-tracking data while looking at high, neutral, and low appealing websites, and then register their perceptions on visual aesthetics towards those websites. Findings show different patterns of gaze behavior related with users’ perceptions on visual aesthetics. Short fixations with high saccade show high simplicity, while high fixation variance and high backtrack shows high diversity. Short fixations with high backtrack show high colorfulness. Low saccade velocity with high skewness shows high craftsmanship. We contribute towards the need of automatizing the process of understanding users’ perceptions of visual aesthetics, as we might be able to predict the user behavior in real time in the future

Web Aesthetics: How Does it Influence the Sales Performance in Online Marketplaces

Web aesthetics is advocated as one of the key factors influencing consumers’ attitude and behavior in the websites they visited. However, its real effects on the sales performance of websites remain largely unknown. This study is one of the first empirical studies to evaluate web aesthetics quantitatively and directly measure its effects on sales performance by using real-life transaction data. In this study, we identify the representative factors of three primary determinants of web aesthetics (unity, complexity, and intensity) in online marketplaces. Drawing on cognitive dissonance and confirmation bias theory, we further investigate how the influence of web aesthetics on sales performance is contingent on different levels of the seller’s reputation. A set of interaction relationships are proposed and will be tested using real-life transaction data collected from Taobao.com (the largest online marketplace in China). Potential theoretical implications are discussed and potential practical implications are offered for practitioners

Methodology for environmental assessment of agri-environment schemes: the Agri Environmental Footprint Index

End of project reportAgri-environment schemes pay farmers for the provision of environmental services. Such schemes tend to have multiple measures that deliver multiple environmental objectives, and there is a lack of consistent methodology with which to measure the environmental benefits of such schemes. Funded by EU FP6, the Agri-Environment Footprint project (www.footprint.rdg.ac.uk) aimed to address this challenge, and this report provides results from selected components of the project.European Unio

Selected Computing Research Papers Volume 7 June 2018

Contents Critical Evaluation of Arabic Sentimental Analysis and Their Accuracy on Microblogs (Maha Al-Sakran) Evaluating Current Research on Psychometric Factors Affecting Teachers in ICT Integration (Daniel Otieno Aoko) A Critical Analysis of Current Measures for Preventing Use of Fraudulent Resources in Cloud Computing (Grant Bulman) An Analytical Assessment of Modern Human Robot Interaction Systems (Dominic Button) Critical Evaluation of Current Power Management Methods Used in Mobile Devices (One Lekula) A Critical Evaluation of Current Face Recognition Systems Research Aimed at Improving Accuracy for Class Attendance (Gladys B. Mogotsi) Usability of E-commerce Website Based on Perceived Homepage Visual Aesthetics (Mercy Ochiel) An Overview Investigation of Reducing the Impact of DDOS Attacks on Cloud Computing within Organisations (Jabed Rahman) Critical Analysis of Online Verification Techniques in Internet Banking Transactions (Fredrick Tshane