Tourist gaze through computer vision: where, what, how and why?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kun Zhang ◽  
Hanqin Qiu ◽  
Jingyue Wang ◽  
Chunlin Li ◽  
Jinyi Zhang ◽  
...  
Keyword(s):  
Computer Vision ◽  
Management Strategies ◽  
Advanced Technology ◽  
Content Type ◽  
Tourist Gaze ◽  
Cultural Conditions ◽  
Computer Vision Technology ◽  
Research Questions ◽  
Questionnaire Surveys ◽  
High Engagement

Purpose This paper aims to answer the following four research questions: Where do tourists gaze at the destination? What do tourists gaze at the destination? How do tourists gaze differently? Why do tourists gaze differently referring to relevant theory? Design/methodology/approach With a computer vision approach, this study illustrated a series of maps that reflect where and what do tourists gaze at and compared the differences in the visual perceptions among Asian, European and North American tourists in Hong Kong. Findings The findings confirm that the “tourist gaze” is influenced by geographical and cultural conditions. The conclusions provided three types of implementations for destination management strategies and advocated a high engagement with computer vision technology. Originality/value In theory, this study proves that the “tourist gaze” is influenced by geographical and cultural conditions. The study’s methodological contribution lies in applying advanced technology of visual content analysis for big data relevant to the issue of the tourist gaze. Practically, the finding that has not been achieved via previous questionnaire surveys will serve as a reference for tourism recommendations and precision marketing. In addition, its practical contribution is that it offers a means by which to explore tourists’ perceptions of destinations and understand the attractiveness of destinations to tourists.

Computer vision-based color sorting for waste textile recycling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Zhou ◽  
Xingxing Zou ◽  
Wai Keung Wong
Keyword(s):  
Computer Vision ◽  
Hong Kong ◽  
Research Methods ◽  
Vision System ◽  
Raw Material ◽  
White Balance ◽  
Content Type ◽  
Textile Recycling ◽  
Computer Vision Technology ◽  
Sorting System

PurposeEfficient and high-accuracy intelligent color and material sorting systems are the main bottlenecks restricting the recycling of waste textiles. The mixing of waste textiles with different colors will make the reconstructed raw material of textile fiber useless or with low quality. In this study, some challenges about the automatic color sorting for waste textile recycling are discussed. A computer vision-based color sorting system for waste textile recycling is introduced, which can classify the required colors well and meet the efficiency requirements of an automatic recycling line.Design/methodology/approachThere are four aspects, (1) two cameras with different exposure times and white-balance parameters are involved for establishing the computer vision system. (2) Two standard color databases with two cameras are constructed. (3) A statistical model to determine the colors of textile samples is presented in which uniform sampling of pixels and mid-tone enhancing techniques are exploited. (4) The experiments with a number of waste textile samples from a factory in Hong Kong are conducted to illustrate the efficiency of the developed system.FindingsThe experiments with a number of waste textile samples from a factory in Hong Kong are reported. The total classification accuracy performs good. The research methods and results reported in this study can provide an important reference for improving the intelligent level of color sorting for waste textile recycling.Originality/valueIt is the first time to introduce computer vision technology to a color sorting system for recycling waste textiles, especially in a real recycling factory in Hong Kong. The research methods and results reported in this study also deliver guidance for designing a computer vision-based color sorting system for other industrial scenarios.

Tourists’ perceptions of urban space: a computer vision approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kun Zhang ◽  
Jinyi Zhang ◽  
Chunlin Li ◽  
Yan Jiao ◽  
Ying Wang
Keyword(s):  
Computer Vision ◽  
Urban Space ◽  
Semantic Segmentation ◽  
Scene Recognition ◽  
The Novel ◽  
Content Type ◽  
Tourist Gaze ◽  
North Americans ◽  
Visual Elements ◽  
Novel Approach

Purpose This study aims to conduct an empirical investigation of differing perceptions of nine types of urban space and nine visual elements among tourists in destination using a computer vision (CV) approach. Design/methodology/approach The data for this study was extracted from YFCC 100 M dataset. Nine types of urban space in Beijing were initially identified using a scene recognition model. Subsequently, a semantic segmentation model was applied, which yielded substantial evidence relating to nine visual elements that were used to elicit differing perceptions among tourists from different continents. Findings Tourists from three continents had different perceptions about corridors, old buildings, overlooks and traffic spaces, reflecting their cultural convention. Asians, Europeans and North Americans diversely gazed at the landscape element of buildings, foliage, sky and people in urban space. All those provided evidence to contribute to the tourist gaze theory's construction. Originality/value This study firstly depicted how tourists perceive the tourism symbol of urban space. The novel approach of employing two CV models offer methodological insights to tourism research relevant to visual perception.

scholarly journals Enhancing camera surveillance using computer vision: a research note

2018 ◽  
Vol 41 (2) ◽  
pp. 292-307 ◽  
Author(s):  
Haroon Idrees ◽  
Mubarak Shah ◽  
Ray Surette
Keyword(s):  
Computer Vision ◽  
Law Enforcement ◽  
Police Department ◽  
Law Enforcement Agencies ◽  
Ongoing Research ◽  
Content Type ◽  
Surveillance Camera ◽  
Surveillance Cameras ◽  
Computer Vision Technology ◽  
The Impact

Purpose The growth of police operated surveillance cameras has out-paced the ability of humans to monitor them effectively. Computer vision is a possible solution. An ongoing research project on the application of computer vision within a municipal police department is described. The paper aims to discuss these issues. Design/methodology/approach Following the demystification of computer vision technology, its potential for police agencies is developed within a focus on computer vision as a solution for two common surveillance camera tasks (live monitoring of multiple surveillance cameras and summarizing archived video files). Three unaddressed research questions (can specialized computer vision applications for law enforcement be developed at this time, how will computer vision be utilized within existing public safety camera monitoring rooms, and what are the system-wide impacts of a computer vision capability on local criminal justice systems) are considered. Findings Despite computer vision becoming accessible to law enforcement agencies the impact of computer vision has not been discussed or adequately researched. There is little knowledge of computer vision or its potential in the field. Originality/value This paper introduces and discusses computer vision from a law enforcement perspective and will be valuable to police personnel tasked with monitoring large camera networks and considering computer vision as a system upgrade.

scholarly journals A Review on Computer Vision Technology for Monitoring Poultry Farm – Application, Hardware, and Software

IEEE Access ◽  
2020 ◽  
pp. 1-1
Author(s):  
Nur Syazarin Natasha Abd Aziz ◽  
Salwani Mohd Daud ◽  
Rudzidatul Akmam Dziyauddin ◽  
Mohamad Zulkefli Adam ◽  
Azizul Azizan
Keyword(s):  
Computer Vision ◽  
Poultry Farm ◽  
Computer Vision Technology

scholarly journals Exploring new frontiers? “Neo-slumming” and gentrification as a tourism resource

2019 ◽  
Vol 5 (3) ◽  
pp. 338-353
Author(s):  
Raphaël Pieroni ◽  
Patrick James Naef
Keyword(s):  
New York ◽  
Urban Transformation ◽  
Content Type ◽  
Tourist Gaze ◽  
Modern Cities ◽  
Central Hypothesis ◽  
Tourism Resource ◽  
Major Transformation ◽  
Private Entrepreneurs ◽  
Guided Tours

Purpose The purpose of this paper is to analyse urban transformation as a tourism resource. Tourism is undeniably a powerful motor for urban transformation but in return, urban transformation can represent a resource for actors related to tourism. More precisely this paper focuses on one major transformation of modern cities: gentrification. Design/methodology/approach The central hypothesis of this paper is that gentrification accompanies tourism, but that gentrification itself may also become an object of the tourist gaze. The paper focuses on local guides and small touristic entrepreneurs in order to identify the tensions that might arise. The presentation of two guided tours – “Subculture Brixton Nightlife Tour” and “Where Brooklyn At?” – will enable us to explore how the gentrification of Brixton (London) and Brooklyn (New York) may be used as a tourism resource for local private entrepreneurs. Findings Results presented here are based on ethnographic methods such as observation as well as content analysis and semi-directive interviews. Mobilising the historical concept of “slumming”, this paper proposes an extended conceptual framework, “neo-slumming”, to analyse evolving tourism practices in modern cities, practices that are considered here as tourism’s new frontiers. Originality/value However, as tourism transforms cities, the process itself is now of interest to tourists and thus becomes a resource for sector businesses (Naef, 2018). Yet studies about the touristification of urban transformation are still quite rare. This analysis aims to fill this gap by looking at the way a process, such as some spectacular, rapid or radical transformation of the urban fabric, can become a touristic resource associated with specific narratives and representations. In this context, the tourist gaze (Urry, 2002) is directed on a resource characterised by its ongoing change.

Knowledge management strategies for sustaining Lesson Study

2019 ◽  
Vol 9 (2) ◽  
pp. 167-178
Author(s):  
Eric C.K. Cheng
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Hong Kong ◽  
Knowledge Sharing ◽  
Lesson Study ◽  
Structural Equation ◽  
Explicit Knowledge ◽  
Relative Effectiveness ◽  
Management Strategies ◽  
Content Type

Purpose The purpose of this paper is explore the relative effectiveness of people-based and information technology-based knowledge management (KM) strategies as implemented by principals in Hong Kong schools to facilitate and sustain Lesson Study for teachers’ knowledge sharing and internalization. Design/methodology/approach Data from 184 principals in Hong Kong were collected by a cross-sectional quantitative survey. Confirmatory factor analysis and reliability tests have been used to examine the constructed validity and reliability of the instrument. A structural equation model was applied to confirm the predictive effect of people-based and information technology-based KM strategies on teachers’ knowledge sharing and internalization through Lesson Study. Findings Results show that people-based KM strategy predicts knowledge sharing and internalization by and among teachers. However, while information technology-based knowledge management strategies predict teachers’ knowledge sharing, they do not predict how effectively they internalize knowledge. Practical implications Cultivating communities of practice, professional learning communities and mentoring schemes in schools can nurture a knowledge-sharing culture to facilitate and sustain Lesson Study for teacher learning. Institutionalizing an information technology system can help teachers to retrieve, share and store the school’s explicit knowledge. Originality/value The paper not only suggests school management strategies and practices for school leaders to facilitate and sustain Lesson Study, but also brings a new research dimension, KM, to the research area.

Learning in the service environment: the influence of diversity climate

2016 ◽  
Vol 26 (4) ◽  
pp. 448-470 ◽  
Author(s):  
Priyanko Guchait ◽  
Juan Madera ◽  
Mary Dawson
Keyword(s):  
Psychological Safety ◽  
Communication Satisfaction ◽  
Service Organizations ◽  
Diversity Climate ◽  
Mediating Effects ◽  
Learning Behavior ◽  
Content Type ◽  
Lodging Managers ◽  
High Engagement ◽  
Employee Learning

Purpose – The purpose of this paper is to examine how diversity climate in service organizations influence employee learning behavior. Additionally, the study examined the mediating effects of psychological safety and communication satisfaction between diversity climate and learning behavior. Design/methodology/approach – Data were collected from 128 hotel and lodging managers by administering survey questionnaires. The dual mediational model was tested using the mediation test suggested by Preacher and Hayes (2008). Findings – Results indicated that when managers perceived a positive diversity climate they also reported high engagement in learning behavior. Additionally, the study found the mediating effects of psychological safety and communication satisfaction. Originality/value – The importance of learning behavior has been noted by researchers and practitioners because of its influence on service performance. Learning behavior is especially important in complex, error prone, and fast changing businesses like the services industry. This research contributes to the existing body of research by examining the influence of diversity climate on learning behavior, which has not been investigated empirically in the literature. The current research not only makes a significant contribution to the learning and diversity literature, but also informs practitioners how learning behavior can be increased and how diversity climate can be created in within service organizations, in particularly hospitality.

How Snowden’s revelations have influenced youngsters’ attitude and behaviour in the PRC and Taiwan

2017 ◽  
Vol 15 (3) ◽  
pp. 213-231
Author(s):  
Kiyoshi Murata ◽  
Yasunori Fukuta ◽  
Andrew A. Adams ◽  
Dang Ronghua
Keyword(s):  
University Students ◽  
Social Impact ◽  
Current Status ◽  
Content Type ◽  
Republic Of China ◽  
Studying Abroad ◽  
The Social ◽  
State Surveillance ◽  
Questionnaire Surveys

Purpose This study aims to investigate how Snowden’s revelations are viewed by young people in the People’s Republic of China (PRC) and Taiwan through questionnaire surveys of and follow-up interviews with university students in the two countries, taking into account the histories and current status of state surveillance in these countries and the current complicated and delicate cross-strait relationships. Design/methodology/approach Questionnaire surveys of 315 PRC and 111 Taiwanese university students (a majority studying in those places but a few studying abroad) and semi-structured follow-up interviews with 16 master’s course students from the PRC and one from Taiwan (all studying at Meiji University in Japan) were conducted, in addition to reviews of the literature on privacy and state surveillance in the PRC and Taiwan. The outcomes of the survey were statistically analysed and qualitative analyses of the interview results were also performed. Findings Youngsters living in the PRC had greater interest in and more knowledge about Snowden’s revelations than those living in Taiwan, and the revelations were positively evaluated in both countries as serving public interest. However, PRC students indicated they were less likely to emulate Snowden than those from Taiwan did. Originality/value This study is the first attempt to investigate the social impact of Snowden’s revelations on PRC and Taiwanese youngsters’ attitudes towards privacy and state surveillance as part of cross-cultural analyses between eight countries.

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