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Data Set Used
The 2013 MediaEval Retrieving Diverse Social Images Task looked to tackling the problem of search result diversification of Flickr results sets formed from queries about geographic places and landmarks. In this paper we describe our approach of using a min-max similarity diversifier coupled with pre-filters and a reranker. We also demonstrate a number of… (More)
Combining items from social media streams, such as Flickr photos and Twitter tweets, into meaningful groups can help users contextu-alise and effectively consume the torrents of information now made available on the social web. This task is made challenging due to the scale of the streams and the inherently multimodal nature of the information to be… (More)
—In this paper we propose a stochastic model, based on queueing theory, for electric vehicle (EV) and plug-in hybrid electric vehicle (PHEV) charging demand. Compared to previous studies, our model can provide 1) more accurate forecasts of the load using real-time sub-metering data, along with the level of uncertainty that accompanies these forecasts; 2) a… (More)
There is a wide array of online photographic content that is not geotagged. Algorithms for efficient and accurate geographical estimation of an image are needed to geolocate these photos. This paper presents a general model for using both textual metadata and visual features of photos to automatically place them on a world map.
This paper describes a modular architecture for searching and hyperlinking clips of TV programmes. The architecture aimed to unify the combination of features from different modalities through a common representation based on a set of probability density functions over the timeline of a programme. The core component of the system consisted of analysis of… (More)
Knowing the location where a photograph was taken provides us with data that could be useful in a wide spectrum of applications. With the advance of digital cameras, and with many users exchanging their digital cameras for GPS-enabled mobile phones, photographs annotated with geographical locations are becoming ever more present on photo-sharing websites… (More)