A survey on Flickr multimedia research challenges

Spyrou, Evaggelos; Mylonas, Phivos

doi:10.1016/j.engappai.2016.01.006

Cited by 27 publications

(7 citation statements)

References 148 publications

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“…Flickr, a popular photo-sharing social network, has a large number of user-generated digital photos. Each uploaded photo that expresses aesthetic values can supply several kinds of data, including visual content, geolocation data, an observed date and a description (Spyrou & Mylonas, 2016). Tenkanen et al (2017) systematically assessed park popularity and temporal visitor counts in 56 nation- To assess the current LA value of Xi'an, geotagged Flickr photographs of Xi'an were used to identify and map LA values, both as an evaluation of the method and as a case study in China.…”

Section: Introductionmentioning

confidence: 99%

Examination of Urban Landscape Aesthetics through Mapping Using Geotagged Social Media Data from Flickr

Zhao¹,

Han²

2021

CUS

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Landscapes are part of the earth's surface, and include terrestrial, aquatic, natural, and anthropogenic features with differing dominance. The evaluation of Landscape Aesthetics (LA) and scenery is helpful for the understanding landscapes. The mapping of LA is increasingly being recognized in urban and landscape planning. Examining the flow and capacity of LA is an essential element in understanding the sustainability of urban landscapes. An explicit methodological approach was proposed for mapping LA using social media data (geolocated photographs) from Flickr to study the spatial distribution of LA in Xi'an, China. The LA flow and LA capacity were conceptually distinguished and assessed. The LA flow was analyzed with 10,278 geotagged photographs from Flickr to express people's actual appreciation of LA. The LA capacity was examined by spatial criterion evaluation, combined the weight of landscape features. LA flow and LA capacity differ in both spatial extent and quantity, although there was a spatially explicit balance between them. The results show that LA flow largely occurs in the urban core zone and that LA capacity is concentrated in certain parts of Xi'an due to the imbalanced distribution of historical cultural heritage sites. This research contributes to a better understanding of LA values and the relationships between LA values and landscape characteristics. The results can support the integration of cultural services in landscape planning and land use policy.

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Section: Introductionmentioning

confidence: 99%

Examination of Urban Landscape Aesthetics through Mapping Using Geotagged Social Media Data from Flickr

Zhao¹,

Han²

2021

CUS

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“…La fiabilidad de estas fuentes se ha defendido dada la numerosa cifra de contribuciones realizadas por los usuarios, que en conjunto mejoran por agregación la calidad final del producto (Haklay, 2010;O'Reilly, 2005), atribuyéndoles el valor de la "inteligencia colectiva" 4 . Sin embargo numerosos estudios (Folch, Spielman, & Manduca, 2018) coinciden en que la calidad desigual de las contribuciones (Spielman, 2014), los sesgos de raza, género, u orientación sexual atribuibles a cada plataforma (Elwood, 2008;Yuan, Wei, & Lu, 2018), la falta de consistencia inherente a los datos no estructurados (Spyrou, 2016), o la deseabilidad de visibilizar determinados usos del suelo frente a otros (Cramer, Rost, & Holmquist, 2011), constituyen sesgos relevantes que ponen en tela de juicio la fiabilidad de este tipo de fuentes de datos si no se contrastan adecuadamente. Otros argumentan que el error podría no ser representativo siempre y cuando la finalidad del análisis a realizar en la base de datos no sea la evaluación de su calidad per-se (Arribas-Bel, 2014; Elwood, 2008;Elwood, Goodchild, & Sui, 2012).…”

Section: Plataformas Privadas Y Open Data Estado De La Cuestiónunclassified

La representación de las actividades económicas urbanas en las plataformas digitales = The Representation of Urban Economic Activities through Digital Platforms

Riverola¹

2019

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ResumenLa popularización del ‘smartphone’ como dispositivo capaz de producir y tener acceso a información geolocalizada en el entorno físico del usuario, ha popularizado las plataformas de recomendación de lugares de interés. Nutriéndose de información proporcionada por sus usuarios, las actividades económicas en el espacio físico pueden o no contar con una representación digital accesible desde las plataformas —constituyendo la base de sus modelos de negocio. Dado que esta información es generada por los usuarios de la plataforma, puede suceder que algunas ubicaciones no queden representadas, o algunas actividades prevalezcan sobre otras. Considerando fiables las fuentes oficiales de datos abiertos, y por tanto aprovechables para verificar los datos colaborativos de las plataformas digitales, se ha elaborado una comparativa de éstas en el ámbito geográfico de Madrid, con el fin de evaluar los posibles decalajes entre la ciudad construida, y su representación digital —identificando los ámbitos urbanos sobrerrepresentados digitalmente, y aquellos en contraste segregados.AbstractThe popularization of the ‘smartphone’ as a user and producer of geolocated information has leveraged the consolidation of place-recommendation digital platforms. Based on user-generated data, the economic activities in the physical realm may have a digital representation through the platforms or not —constituting the backbone of their business models. Given that platforms rely on volunteered geographic information, some locations could be unrepresented, and some categories of activities might prevail. Considering institutional Open Data a reliable source to verify the collaborative data in the platforms, this work provides a comparison of both sources in the City of Madrid (Spain) to evaluate the potential disparities between the physical city and its digital representation —identifying those ‘digitally overrepresented’ or digitally segregated areas.

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“…However and since the aforementioned areas of interest are mainly constituted by tourist attractions (since tags have been harvested by touristic photos), it is related to research activities that aim to provide recommendations of places and/or trends using information directly from geo-tagged photos of Flickr. In general, metadata extracted from Flickr, with or without the aid of visual information have been extensively used in the literature for various research goals.A survey may be found in [8].…”

Section: Related Workmentioning

confidence: 99%

Discovering Areas of Interest Using a Semantic Geo-Clustering Approach

Spyrou

Psallas

Charalampidis

et al. 2016

IFIP Advances in Information and Communication Technology

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Living in the era of social networking, coupled together with great advances in digital multimedia user-generated content, motivated us to focus our research work on humanistic data generated by such activities towards new, more efficient ways of extracting semantically meaningful information in the process. More specifically, the herein proposed approach aims to extract areas of interest in urban areas, utilizing the increasing socially-generated knowledge from social networks. A part of the area of interest is selected, then split into "tiles" and processed with an iterative merging approach whose goal is to extract larger, "homogeneous" areas which are of special (e.g., tourist) interest. In this work generated areas of interest focus on interesting points from the humanistic point of view, thus covering in general main touristic attractions and places of interest. In order to achieve our goals, we exploit two types of metadata, namely location-based information (geo-tags) geo-tags and simple user-generated tags.

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A survey on Flickr multimedia research challenges

Cited by 27 publications

References 148 publications

Examination of Urban Landscape Aesthetics through Mapping Using Geotagged Social Media Data from Flickr

Examination of Urban Landscape Aesthetics through Mapping Using Geotagged Social Media Data from Flickr

La representación de las actividades económicas urbanas en las plataformas digitales = The Representation of Urban Economic Activities through Digital Platforms

Discovering Areas of Interest Using a Semantic Geo-Clustering Approach

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