Context based image retrieval framework for smartphones

The spread of global smartphone market in the past decade has resulted in exponential growth of unstructured data, particularly in the form of multimedia, in the domain of social networking. Consequently, it has made data retrieval cumbersome, specially for the users. This has also posed as a major challenge in the development of new algorithms and technologies. This paper presents a context based search technique for personalized image retrieval, based on Logical Item-set Mining on Image Hash-Tags given by the users. The tests were performed on Instagram image datasets of two different users, collected through a crawler and show promising results.