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This study explores the influence of cultural heritage tourism perception on China's tourism image. It analyzes the role of the spiritual bond established between overseas Chinese youth and the motherland during their visit to the cultural heritage sites in China. This study constructs a theoretical model with 350 overseas Chinese youth as samples based on the identity theory, Stimulus-Organism-Response (S-O-R) theory, and Howard-Sheth model. The results show that cultural heritage tourism perception directly and positively promotes cultural identity among overseas Chinese youth. It is also indirectly and positively associated with their cultural identity through enhancing the tourism image. Cultural intelligence plays a positive moderating role between cultural heritage tourism perception and cultural identity. The results provide significant implications for developing cultural heritage tourism and cultural communication.

Due to the intense rivalry in the smartphone market, manufacturers of mobile phones are becoming increasingly interested in knowing the factors that influence consumers' purchase intention. This paper aims to examine the effect of country-of-origin image, brand image and attitude towards the brand on the purchase intention of smartphone users.

An empirical study was performed based on the information gathered from smartphone users. The structural equation modeling (SEM) technique was applied to examine the hypotheses.

The authors found that brand image and attitude towards the brand significantly influence consumer purchase intention. Additionally, there is an indirect effect even when the nation of origin image does not directly influence the consumer's purchase intention. Indeed, brand image and attitude towards the brand act as a mediator between the country-of-origin image and purchase intention.

This study presents a conceptual model on the impact of country-of-origin image on the propensity of consumers to buy smartphones in a field where little research has been done. The investigation offers a consumer-focused analysis regarding the country-of-origin image. This suggests a significant shift from the current strategy, which is frequently centered on the viewpoint of the companies.

In view of the influences of online videos on the cultural tourism industry, this study aims to explore the mechanisms triggered by watching online video behaviors of fans. This study examines how fans who have watched celebrities’ online videos become tourists who attend concerts held at destinations based on celebrity and destination endorsements.

This study builds for celebrity and destination endorsements on online videos by combining media richness and source model theory. This research adopts partial least squares structural equation modeling to analyze the mechanism triggered by online media.

Watching online media influences celebrity and destination endorsements, which, in turn, affects the concert experience and intention to return to the destination. Results reveal less intertwined relationships between celebrity and destination endorsements and the complex mechanisms between the two endorsements.

With the rise in popularity of online media, online content has become a major source of information in the tourism industry and a means of enjoying travel seamlessly. This study highlights not only the role of “watching online videos” as one of the richest media but also the role of live concerts in cultural tourism for understanding complex cultural tourism.

为了探讨在线视频对文化旅游业的影响, 本研究探讨了观看在线视频所触发旅游行为的机制。本研究考察了在名人和景区的宣传下, 观看名人在线视频的粉丝如何成为参加目的地举办的演唱会的旅游者。

基于媒体丰富度和来源模型理论, 本研究调查了名人与景区的宣传视频。本研究采用partial least squares（PLS）结构方程建模来分析在线媒体所引发的机制。

观看在线媒体影响了名人和目的地宣传效应, 进而影响了演唱会的体验和到访目的地的意愿。研究结果揭示了名人和目的地宣传之间的关系并不紧密, 这两种宣传之间存在着复杂的机制。

随着在线媒体的普及, 在线内容已成为旅游业中信息的主要来源和享受旅游的手段。本研究不仅突出了“观看在线视频”作为最丰富的媒体之一的作用, 也突出了演唱会在文化旅游中的功能, 以更全面地理解复杂的文化旅游。

This study aims to identify and prioritize preferable 2050 future images and the policy agendas of the Republic of Korea using a bottom-up approach, involving legislative staff of the National Assembly as well as experts from various fields.

The authors derived three future images from the future policy agendas selected by experts: society for growth of smart generations (GS), society for sustainability and safety (SS) and society for coexistence and diversity (CD). The survey conducted among legislative staff (n = 189) shows that the most preferred future image was SS. Then, the authors prioritized the policy agendas that aligned with future images using priority calculating methods.

The most prioritized policy agenda was “Social system for coexistence to resolve social conflict,” followed by “Social sustainability through tackling low birth rate.” The next was “Social integration policies to embrace diverse family composition” and “Responding to social change and knowledge transformation caused by artificial intelligence.” Among the top five rankings, two agendas from each SS and CD were selected.

To achieve the preferred future images, implementing policies related to sustainability, human rights and coexistence are necessary for continuous collaboration among stakeholders, especially those from the legislature.

This study presents a method of involving the National Assembly, which is a representative institution of the people and composed of various political parties, to set the national’s future vision and agenda from a long-term perspective.

Corruption is a long-standing challenge in Nigeria. The country’s development crises, including widespread poverty and insecurity, have direct and indirect links to corruption. The paradox of corruption in Nigeria is that political elites have politicised its elimination: while preaching anti-corruption, they are still neck-deep in corrupt practices. The purpose of this study centres on Nigeria’s anti-corruption crusade in the context of its effectiveness in attracting global support for external loot recovery. A related preoccupation of this study is to unravel the extent to which Nigeria’s anti-corruption accomplishments or otherwise have shaped international perception.

This study adopts a qualitative research design. It draws from primary data generated from 25 key informant interviews and complemented with secondary data from archival materials to examine Nigeria’s anti-corruption crusade, especially global perception and its overall implication in motorising the country’s quest for external loot recovery. It deploys unstructured interview guide to generate data from the key informants.

This study unveils three interrelated issues: since 1999, the promise of eliminating corruption from Nigeria’s body politic has been a recurring campaign theme without corresponding credible action against it. Although anti-corruption agencies exist in Nigeria, the country’s corruption profile is high, an indication of their ineffectiveness. The persistence of corruption has resulted in poor national image, thereby shaping negative international perception about Nigeria. The politicisation of Nigeria’s anti-corruption crusade has undermined international support and created uncertainty in the country’s quest for the recovery of its looted national funds.

The negative perception of the international community about the commitment of the Nigerian Government in fighting corruption has negative implications on the strategic partnership necessary for loot recovery across the globe.

The overall social implication is loss of global support for Nigeria’s anti-corruption drive, including its quest to recover its stolen national assets and other forms of international assistance for national development.

The value of this study is two-fold, one, its recency and originality in terms of interrogating the interconnections between domestic efforts at anti-corruption and global perception of such efforts; and two, the contextualisation of the compromised efficiency of Nigeria’s anti-graft agenda and its overall implications in securing global support for external loot recovery.

An increasing number of images are generated daily, and images are gradually becoming a search target. Content-based image retrieval (CBIR) is helpful for users to express their requirements using an image query. Nevertheless, determining whether the retrieval system can provide convenient operation and relevant retrieval results is challenging. A CBIR system based on deep learning features was proposed in this study to effectively search and navigate images in digital articles.

Convolutional neural networks (CNNs) were used as the feature extractors in the author's experiments. Using pretrained parameters, the training time and retrieval time were reduced. Different CNN features were extracted from the constructed image databases consisting of images taken from the National Palace Museum Journals Archive and were compared in the CBIR system.

DenseNet201 achieved the best performance, with a top-10 mAP of 89% and a query time of 0.14 s.

The CBIR homepage displayed image categories showing the content of the database and provided the default query images. After retrieval, the result showed the metadata of the retrieved images and links back to the original pages.

With the interface and retrieval demonstration, a novel image-based reading mode can be established via the CBIR and links to the original images and contextual descriptions.

Literature on nation branding is heterogeneous and varies significantly, not only in terminological terms but also in theoretical approaches and practical application. This paper aims to conduct an extensive exploratory study that empirically develops a comprehensive nation brand framework for Palestine, with international applications as well.

Initially, a conceptual framework for developing a nation brand is theoretically designed. Subsequently, through a methodologically deductive–inductive approach and qualitative means, it tests, adapts and refines the framework based on empirical data collected from key stakeholders, such as government officials, politicians, business people and academics.

The theoretical part of the research uncovers the extant key models and core concepts, and it identifies several gaps, with the more prominent one being the lack of an integrated and widely adopted framework for developing a nation brand. The research, thus, conclusively builds a holistic strategic framework towards a distinct nation brand for Palestine, with generic/international application and value, also presenting the practical implications of the findings and identifying avenues for further research.

There are varying extant perspectives on the topic, with these different views often reflecting scholars’ and stakeholders’ methodological approaches, perspectives and even deeper ontological beliefs and convictions. This paper is original consequent to its multi-perspective approach, the strength of its theoretical foundation, the extent and methodological approach of its empirical research, the uniqueness of its focus and the comprehensiveness of the framework developed that can also be used as the conceptual cornerstone for testing in other nations branding studies as well.

Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics.

The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences.

The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area.

This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

This article examines the effect of China's soft power projection through the Chinese media in Africa on the African audiences' perception of China's national image through a case study of the residents of Nairobi. It adopted Joseph Nye's soft power model and sought to address three fundamental questions : What is the extent and objective of China's media diplomacy in Africa? How has China's media “offensive” in Africa impacted African audiences' imagery of China? What are the implications, if any, of China's media diplomacy on the Kenyan public view of China?

This article used a mixed-methods research design, which deployed elements of positivism and interpretivism. It used a deductive approach and deployed the survey strategy, which entailed the collection of data from Nairobi city residents. The secondary data were collected from relevant academic literature sources. The primary data were analyzed empirically using the Statistical Package for the Social Sciences (SPSS), while the secondary data were analyzed using discourse analysis.

China's soft power projection through the Chinese media in Africa is aimed at addressing the “misinformation” about China. China seeks its share of representation among the African public to correct negative perceptions of China. Kenyans had a generally positive attitude toward China. South Africa and Angola have “Fairly” positive perceptions of the Chinese media. However, this study did not reveal whether the perception was due to the influence of Chinese media. These findings implied that the African public's positive imagery of China cannot be fully attributed to Chinese media's influence.

This study is groundbreaking in that it is one of the few studies that have focused on China's public diplomacy in Africa and assessed the impact of Chinese media on the African public’s perception of China.

As a distinctive form of communist heritage tourism, the ideology and government-led form of red tourism warrants an in-depth examination of how tourists consume and perceive it. This study aims to reveal tourists’ perception of red tourism through the lens of destination image.

This study collected 9,819 user-generated photographs within four types of red tourism destinations (RTDs) and used a computer visual and semiotic analysis approach to conduct photograph-based cognitive and affective attributes extraction. Network analysis further visualized the co-relations between cognitive images and affective images. ANOVA analysis compared the differences of the four types of destination images.

Ten dimensions of cognitive image and eight categories of affective image of red tourism were identified. It found that monuments, statues, memorial symbols were the distinctive cognitive features, and admiration was the most dominant emotion. Heterogeneity of destination images was identified among the four types of RTDs.

To the best of the authors’ knowledge, the study is one of the first to explore tourists’ consumption of red tourism through the lens of destination image, which reveals the inconsistencies between the officially projected images and tourists’ perceived images of red tourism. Using Plutchik’s model, it validates a series of positive and negative emotions contributing to the affective images of red tourism, which expands the findings of emotions within the extant red tourism research. Through combined applications of computer visual and semiotic analysis, ANOVA, network analysis and model visualization, the study provides an important methodological triangulation for photograph-based destination image studies.

红色旅游作为共产主义旅游的独特形式, 游客如何感知这种国家意识形态植入与政府主导型旅游值得深入研究。本研究旨在从目的地意象视角揭示游客红色旅游感知。

本研究收集四种类型的红色旅游地9819张用户生成照片, 利用计算机视觉-情感析法对照片进行认知和情感元素提取。复杂网络分析揭示了认知意象与情感意象之间的关联。方差分析比较了四种红色旅游地意象的差异。

本研究确定了红色旅游认知意象的十个维度和情感意象的八个类别。研究发现, 纪念碑、雕像、纪念符号是其独特的认知意象元素, 钦佩是其最主要的情感，四种类型红色旅游地意象存在差异性。

本文是同类研究中首次从目的地意象视角探索游客对红色旅游地感知, 揭示了红色旅游官方投射意象与游客感知意象之间的差异。利用Plutchik情感之轮模型, 验证了一系列积极和消极情绪构成红色旅游地情感意象, 拓展了红色旅游的情感发现。综合运用计算机视觉-情感分析、方差分析、网络分析和模型可视化等方法, 为基于照片的旅游目的地意象研究提供了一个重要方法。

Como forma distintiva del turismo del patrimonio comunista, la ideología y la forma gubernamental del turismo rojo justifican un examen en profundidad de cómo lo consumen y perciben los turistas. Este estudio pretende revelar la percepción que tienen los turistas del turismo rojo desde la perspectiva de la imagen del destino.

Este estudio recopiló 9.819 fotografías generadas por los usuarios dentro de cuatro tipos de destinos de turismo rojo, y utilizó un enfoque de análisis visual y semiótico por ordenador para llevar a cabo la extracción de atributos cognitivos y afectivos basados en fotografías. El análisis de redes visualizó además las correlaciones entre las imágenes cognitivas y las imágenes afectivas. El análisis ANOVA comparó las diferencias de los cuatro tipos de imágenes de destino.

Se identificaron diez dimensiones de imagen cognitiva y ocho categorías de imagen afectiva del turismo rojo. Se descubrió que los monumentos, las estatuas y los símbolos conmemorativos eran los rasgos cognitivos distintivos, y la admiración la emoción más dominante. Se identificó una heterogeneidad de imágenes de destino entre los cuatro tipos de destinos de turismo rojo.

El estudio es uno de los primeros en explorar el consumo de turismo rojo por parte de los turistas a través de la lente de la imagen del destino, lo que revela las incoherencias entre las imágenes proyectadas oficialmente y las imágenes percibidas por los turistas del turismo rojo. Utilizando el modelo de Plutchik, valida una serie de emociones positivas y negativas que contribuyen a las imágenes afectivas del turismo rojo, lo que amplía los hallazgos sobre las emociones dentro de la investigación existente sobre el turismo rojo. Mediante aplicaciones combinadas de análisis visual y semiótico por ordenador, ANOVA, análisis de redes y visualización de modelos, el estudio proporciona una importante triangulación metodológica para los estudios de la imagen del destino basados en fotografías.