DETECTION OF PLACES BASED ON PLACE EXTRACTION ALGORITHM USING IMAGES?

Research on place extraction has been of interest for the detection of meaningful places that users visit. According to location-based applications interpretations of meaningful places may be different, a universal place extraction algorithm that is able to detect all kinds of meaningful places needs to be developed. Unfortunately, previously proposed place extraction algorithms are not able to generate accurate result and also failed to perfectly detect meaningful places. This work proposes a new place extraction algorithm that can significantly enhance the accuracy of place extraction. The basic concept used in system is a hidden markov model. It is model used to find nearest possible location from irrelevant information return from yahoo API. Our algorithm shows remarkable detection accuracy in place extraction, significantly higher than any other previously proposed algorithms. Furthermore, the proposed algorithm can efficiently operate in mobile environments because its computations are simple.