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|Related keyword(s)||wikimedia commons, wiki loves monuments|
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Photography is included as keyword or extra keyword in 0 datasets, 0 tools and 6 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|A novel system for the semi automatic annotation of event images||McParlane P.J.
|SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval||English||2014||With the rise in popularity of smart phones, taking and sharing photographs has never been more openly accessible. Further, photo sharing websites, such as Flickr, have made the distribution of photographs easy, resulting in an increase of visual content uploaded online. Due to the laborious nature of annotating images, however, a large percentage of these images are unannotated making their organisation and retrieval difficult. Therefore, there has been a recent research focus on the automatic and semi-automatic process of annotating these images. Despite the progress made in this field, however, annotating images automatically based on their visual appearance often results in unsatisfactory suggestions and as a result these models have not been adopted in photo sharing websites. Many methods have therefore looked to exploit new sources of evidence for annotation purposes, such as image context for example. In this demonstration, we instead explore the scenario of annotating images taken at a large scale events where evidences can be extracted from a wealth of online textual resources. Specifically, we present a novel tag recommendation system for images taken at a popular music festival which allows the user to select relevant tags from related Tweets and Wikipedia content, thus reducing the workload involved in the annotation process. Copyright 2014 ACM.||0||0|
|Wiki Loves Monuments 2011: the experience in Spain and reflections regarding the diffusion of cultural heritage||Emilio J. Rodríguez-Posada
Ángel González Berdasco
Jorge A. Sierra Canduela
Santiago Navarro Sanz
|May 2012||Wikipedia came into being in cyberspace. Its early years were marked by asynchronous work by users located all over the world who hardly ever related on a personal level outside the net. With time, some of the volunteers met at what were called wikimeetups, encounters initially aimed at tightening bonds which did not bring about any direct improvement to the project content. Face-to-face initiatives later took place that involved not just volunteers but also cultural entities. The most recent event and the one with the greatest impact was Wiki Loves Monuments 2011, a competition to photograph monuments in 18 European countries, including Spain. The high level of participation led to 160,000 photographs of monuments being taken, with Spain occupying the third place in terms of number of photographs. In this paper we explore the origins, implementation, development and results of Wiki Loves Monuments. The success of the 2011 edition and requests from other countries has led to organization of Wiki Loves Monuments 2012, which will be held at the global level.||3||0|
|Let me tell you something about (Y)our culture?||Mac An Airchinnigh M.||Communications in Computer and Information Science||English||2010||Each person is born into a culture that is mediated by the mother tongue. Further development of the person is often associated with schooling and education. At an early age some persons will come into contact with other cultures especially if living in a cosmopolitan city or through frequent travel. Such intercultural contact consists of exposure to another tongue, initially aural, and images of the other, perhaps in the form of dress, or architecture, and so on. In the digital world of 2010 those who surf the electronic wave constantly dip in and out of many cultures. Those who normally use Wikipedia in English might over time also refer to a version of an article in another tongue. Those who are frequent users of YouTube might be curious enough to watch a video clip in Turkish or in Greek as well as the usual English, in the context of a history lesson in school. Culture in the digital world needs to be supported and sustained. Are you looking for something? Try Google or Bing or...You have found something you want to share? Post a video clip, or a photograph, or a piece of music. But how shall we keep track of this digital culture? Why would we want to? In this paper we will address the fundamental problem of how to manage cultural information in an integrated fashion in the world of Art. To be specific we will use Bulgarian Art to inform one aspect of Turkish culture.||0||0|
|A web 2.0 and open source approach for management and sharing of multimedia data-case of the Tzu chi foundation||Chen J.-H.
|Lecture Notes in Computer Science||English||2009||The Tzu-Chi Foundation is one of the largest philanthropy foundations in Taiwan, with millions of members spread around the world. The search and sharing of vast member-generated information which could be in audio, video, photographs and various text formats, has long been a complex issue. Recently this foundation conducted an experimental project tempting to tackle this issue with web 2.0 approaches. A web-based prototype integrated from open source web album and wiki platform was developed and trial ran. This paper will discuss the experience and implication of this experimental project in the online community and managerial context.||0||0|
|Learning landmarks by exploiting social media||Liang C.-K.
|Lecture Notes in Computer Science||English||2009||This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropriately location-tagged from social media. By analyzing spatial distributions of text tags from Flickr's geotagged photos, we identify thousands of tags that likely refer to landmarks. Further verification by utilizing Wikipedia articles filters out non-landmark tags. Association analysis is used to find the containment relationship between landmark tags and other geographic names, thus forming a geographic hierarchy. Photographs relevant to each landmark tag were retrieved from Flickr and distinctive visual features were extracted from them. The results form ontology for landmarks, including their names, equivalent names, geographic hierarchy, and visual features. We also propose an efficient indexing method for content-based landmark search. The resultant ontology could be used in tag suggestion and content-relevant re-ranking.||0||0|
|Semantic keyword-based retrieval of photos taken with mobile devices||Viana W.
|MoMM2008 - The 6th International Conference on Advances in Mobile Computing and Multimedia||English||2008||This paper presents an approach for incorporating contextual metadata in a keyword-based photo retrieval process. We use our mobile annotation system PhotoMap in order to create metadata describing the photo shoot context (e.g., street address, nearby objects, season, lighting, nearby people). These metadata are then used to generate a set of stamped words for indexing each photo. We adapt the Vector Space Model (VSM) in order to transform these shoot context words into document-vector terms. Furthermore, spatial reasoning is used for inferring new potential indexing terms. We define methods for weighting those terms and for handling a query matching. We also detail retrieval experiments carried out by using PhotoMap and Flickr geotagged photos. We illustrate the advantages of using Wikipedia georeferenced objects for indexing photos.||0||0|