Geotagging Flickr Photos And Videos Using Language Models
نویسندگان
چکیده
This paper presents an experimental framework for the Placing tasks, both estimation and verification at MediaEval Benchmarking 2016. The proposed framework provides results for four runs first, using metadata (such as user tags and title of images and videos), second, using visual features extracted from the images (such as tamura), third, by using the textual and visual features together and fourth, using metadata as in the first run but with the training data augmented with external sources. Our work mainly focusses on textual features where we develop a language-based model using bag-of-tags with neighbour based smoothing. The effectiveness of the framework is evaluated through experiments in the placing task.
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