Application of Digital Images and Corresponding Image Retrieval Paradigm

We live in a world where digital images are constantly generated during our daily activities, whether private or business. They play an important role in our private life, showing important moments, people, places, or events and keeping their memory. Images are unavoidable in business, especially in digital marketing, web sales, social networks, medicine, security, and education. In general, images contribute to a better understanding of the message, increase the attractiveness of textual content, provide a better user experience, and can convey emotion quickly. The key advantage of the image is that very often, even a cursory glance at the image is enough to convey a message and arouse emotion and interest. But with the increase in digital image numbers, storage, organization, and retrieval problems arise. The paper describes the importance of images in different areas of application and different image retrieval paradigms that include text-based, content-based, and combined approaches. Also, the most popular image search tools and cloud storage services are compared and discussed. The conclusion comments on the applicability of existing approaches to image searches in different application domains and highlights the advantages and disadvantages of each of the approaches

An Universal Image Attractiveness Ranking Framework

We propose a new framework to rank image attractiveness using a novel pairwise deep network trained with a large set of side-by-side multi-labeled image pairs from a web image index. The judges only provide relative ranking between two images without the need to directly assign an absolute score, or rate any predefined image attribute, thus making the rating more intuitive and accurate. We investigate a deep attractiveness rank net (DARN), a combination of deep convolutional neural network and rank net, to directly learn an attractiveness score mean and variance for each image and the underlying criteria the judges use to label each pair. The extension of this model (DARN-V2) is able to adapt to individual judge's personal preference. We also show the attractiveness of search results are significantly improved by using this attractiveness information in a real commercial search engine. We evaluate our model against other state-of-the-art models on our side-by-side web test data and another public aesthetic data set. With much less judgments (1M vs 50M), our model outperforms on side-by-side labeled data, and is comparable on data labeled by absolute score.Comment: Accepted by 2019 Winter Conference on Application of Computer Vision (WACV

Recruiting nurses through social media : effects on employer brand and attractiveness

Aim: To investigate whether and how nurses' exposure to a hospital's profile on social media affects their perceptions of the hospital's brand and attractiveness as an employer. Background: Since in many places across the globe hospitals are struggling with nursing shortages, competition is rising to be perceived as an attractive employer by this target group. Organizations are increasingly using social media for recruitment, however, little is known about its effects on potential applicants' perceptions of the organization as an employer. We thus examine whether these effects occur and rely on the media richness theory to explain the mechanisms at play. Design: A between-subjects experimental design was applied. Three conditions were used: a control group, one condition that required visiting the Facebook page of a hospital and one condition that required visiting the LinkedIn page. Method: The focal organization was an existing Belgian hospital which had a LinkedIn and a Facebook page. An online questionnaire was sent to nursing students and employed nurses over 5 months in 2015-2016. Results: Nurses' exposure to the hospital's Facebook or LinkedIn page had a significant positive effect on a majority of the employer brand dimensions, both instrumental and symbolic. In addition, nurses who visited the Facebook page felt more attracted to working at the hospital. Most of these effects were mediated by social presence. Conclusion: Nurses' perceptions of employers can be positively influenced by seeing a hospital's social media page. Hospitals can thus employ social media to improve their employer brand image and attractiveness

Attracting applicants through the organization’s social media page : signaling employer brand personality

The purpose of this study is to examine how potential applicants’ exposure to an organization’s social media page relates to their subsequent organizational attractiveness perceptions and word-of-mouth intentions. Based on signaling theory and the theory of symbolic attraction, we propose that potential applicants rely on perceived communication characteristics of the social media page (social presence and informativeness) as signals of the organization’s employer brand personality (warmth and competence), which in turn relate to organizational attractiveness and word-of-mouth. Data were gathered in a simulated job search process in which final-year students looked for an actual job posting and later visited an actual organization’s social media page. In line with our hypotheses, results show that the perceived social presence of a social media page was indirectly positively related to attractiveness and word-of-mouth through its positive association with perceived organizational warmth. Perceived informativeness was indirectly positively related to these outcomes through its positive association with perceived organizational competence. In addition, we found that social presence was also directly positively related to organizational attractiveness. These findings suggest that organizations can use social media pages to manage key recruitment outcomes by signaling their employer brand personality

Social media recruitment : communication characteristics and sought gratifications

This study examines how social media pages can be used to influence potential applicants' attraction. Based on the uses and gratifications theory, this study examines whether organizations can manipulate the communication characteristics informativeness and social presence on their social media page to positively affect organizational attractiveness. Moreover, we examine whether job applicants' sought gratifications on social media influence these effects. A 2 x 2 between-subjects experimental design is used. The findings show that organizations can manipulate informativeness and social presence on their social media. The effect of manipulated informativeness on organizational attractiveness depends on the level of manipulated social presence. When social presence was high, informativeness positively affected organizational attractiveness. This positive effect was found regardless of participants' sought utilitarian gratification. Social presence had no significant main effect on organizational attractiveness. There was some evidence that the effect of social presence differed for different levels of social gratification

A New Computer-aided Technique for Planning the Aesthetic Outcome of Plastic Surgery

Plastic surgery plays a major role in today health care. Planning plastic face surgery requires dealing with the elusive concept of attractiveness for evaluating feasible beautification of a particular face. The existing computer tools essentially allow to manually warp 2D images or 3D face scans, in order to produce images simulating possible surgery outcomes. How to manipulate faces, as well as the evaluation of the results, are left to the surgeon's judgement. We propose a new quantitative approach able to automatically suggest effective patient-specific improvements of facial attractiveness. The general idea is to compare the face of the patient with a large database of attractive faces, excluding the facial feature to be improved. Then, the feature of the faces more similar is applied, with a suitable morphing, to the face of the patient. In this paper we present a first application of the general idea in the field of nose surgery. Aesthetically effective rhinoplasty is suggested on the base of the entire face profile, a very important 2D feature for rating face attractivenes

Do People Make the Place?: An Examination of the Attraction-Selection-Attrition Hypothesis

This study tests the hypotheses that (1) congruence between internal need states and external environments drives the organizational-choice process, and (2) those attracted to particular organizations are more homogeneous than the applicant pool in general. Subjects were evaluated on fourteen needs using the Jackson Personality Research Form. They then viewed two video-taped segments of simulated campus interviews to gain information about two distinct organizational types. The interview segments entered the discussion in-progress to avoid any reference to a particular job which might introduce an occupational confound. Subjects received job offers from both organizations and were asked to indicate which of the two organizations they found more attractive by accepting one of the offers. Analysis of variance results indicated only weak support for the congruency hypothesis. Differences were observed in n Ach between the groups of subjects attracted to each organization. No differences were found for any of the other need strength measures. This suggests that the subjects attracted to the ifferent organizations are substantially similar. Implications for the homogeneity hypothesis are discussed and suggestions for further study of this concept are offered

Exploiting multimedia in creating and analysing multimedia Web archives

The data contained on the web and the social web are inherently multimedia and consist of a mixture of textual, visual and audio modalities. Community memories embodied on the web and social web contain a rich mixture of data from these modalities. In many ways, the web is the greatest resource ever created by human-kind. However, due to the dynamic and distributed nature of the web, its content changes, appears and disappears on a daily basis. Web archiving provides a way of capturing snapshots of (parts of) the web for preservation and future analysis. This paper provides an overview of techniques we have developed within the context of the EU funded ARCOMEM (ARchiving COmmunity MEMories) project to allow multimedia web content to be leveraged during the archival process and for post-archival analysis. Through a set of use cases, we explore several practical applications of multimedia analytics within the realm of web archiving, web archive analysis and multimedia data on the web in general