Big Image Data Management on Portable Equipment

Abstract

Big Data is a new label given to a diverse field of data intensive informatics in which the data sets are so large that they become hard to work with effectively. The term has been mainly used in two contexts, firstly as a technological challenge when dealing with data-intensive domains such as geographical information image, high energy physics, astronomy or internet search, and secondly as a sociological problem when data about us is collected and mined by companies such as Facebook, Google, mobile phone companies, retail chains and governments. In this paper we look at this first issue from a new perspective, namely how can the user gain awareness of the personally relevant part big data that is publicly available in the portable equipment. With a lot of traditional applications such as geography information system (GIS) implanted on portable equipment, how to collect, store, process, analyze, and display big image data becomes a hot field. This paper puts forward a display control technique on portable equipment, which is based on measurement of users location. At the same time, we do serials of experiment on Android platform to validate them.