Location Estimation of a Photo: A Geo-signature MapReduce Workflow
Pakpoom Mookdarsanit, Montean Rattanasiriwongwut · Engineering Journal · 2017
Location estimation of a photo is the method to find the location where the photo was taken that is a new branch of image retrieval.Since a large number of photos are shared on the social multimedia.Some photos are without geo-tagging which can be estimated their location with the help of million geo-tagged photos from the social multimedia.Recent researches about the location estimation of a photo are available.However, most of them are neglectful to define the uniqueness of one place that is able to be totally distinguished from other places.In this paper, we design a workflow named G-sigMR (Geo-signature MapReduce) for the improvement of recognition performance.Our workflow generates the uniqueness of a location named Geo-signature which is summarized from the visual synonyms with the MapReduce structure for indexing to the large-scale dataset.In light of the validity for image retrieval, our G-sigMR was quantitatively evaluated using the standard benchmark specific for location estimation; to compare with other well-known approaches (IM2GPS, SC, CS, MSER, VSA and VCG) in term of average recognition rate.From the results, G-sigMR outperformed previous approaches.