Image descriptor extraction using Android mobile devices for a video search system

The increasing amount of multimedia data makes it challenging to search for content, specially over an unlabeled database. Meanwhile, the proliferation of smartphones, which possess both video cameras and powerful processors, makes it possible to use these devices as part of a video search process. This paper presents a system for performing video searches using an Android mobile device, that records a video and extract one of three different kinds of global image descriptors, then it sends them to a server to perform a similarity search over a database. The precision of each kind of descriptor was measured. The efficiency of the system was compared with an analogous implementation which sends entire videos to the server and it was found to improve the system's response time and data usage.