Mining One Hundred Million Creative Commons Flickr Images Dataset to Flickr Tourist Index
نویسندگان
چکیده
منابع مشابه
Insights into the Commons on Flickr
The Commons on Flickr, comprised of an international community of select libraries, museums, and archives, was a project initially launched in 2008 by the Library of Congress and Flickr. Primary goals of The Commons are to broaden exposure to rich cultural heritage photographs and to observe and participate in the communities of engagement and dialog enabled through The Commons. A survey was ad...
متن کاملFlickr Images: What & Why Museums Share
This paper presents the results of a study which explored the use of Flickr by cultural heritage institutions. The study examined two aspects of museums’ use of Flickr: the content of images posted by museums, and the reasons behind sharing their images to the social media site. Images were categorized by the researchers into nine classes based on their visible content, and a brief questionnair...
متن کاملLarge-Scale Image Mining with Flickr Groups
The availability of large annotated visual resources, such as ImageNet, recently led to important advances in image mining tasks. However, the manual annotation of such resources is cumbersome. Exploiting Web datasets as a substitute or complement is an interesting but challenging alternative. The main problems to solve are the choice of the initial dataset and the noisy character of Web text-i...
متن کاملSemantic Annotation of Images on Flickr
In this paper we introduce an application that allows its users to have an explicit control on the meaning of tags they use when uploading photos on Flickr. In fact, this application provides to the users an improved interface with which they can add concepts to photos instead of simple free-text tags. They can thus directly provide semantic tags for their photos that can then be used to improv...
متن کاملCombining Multi-resolution Evidence for Georeferencing Flickr Images
We explore the task of determining the geographic location of photos on Flickr, using combined evidence from Naive Bayes classifiers that are trained at different spatial resolutions. In particular, we estimate the location of Flickr photos, based on their tags, at four different scales, ranging from a city-level granularity to fine-grained intra-city areas. Using Dempster-Shafer’s evidence the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Future Computer and Communication
سال: 2015
ISSN: 2010-3751
DOI: 10.7763/ijfcc.2015.v4.365