IIIT Hyderabad Publications |
|||||||||
|
Offline Mobile Instance Retrieval with a Small Memory FootprintAuthors: Jayaguru Panda,Michael S Brown, C V Jawahar Conference: ICCV 2013 Date: 2013-12-01 Report no: IIIT/TR/2013/114 AbstractExisting mobile image instance retrieval applications as- sume a network-based usage where image features are sent to a server to query an online visual database. In this scenario, there are no restrictions on the size of the vi- sual database. This paper, however, examines how to per- form this same task offline, where the entire visual index must reside on the mobile device itself within a small mem- ory footprint. Such solutions have applications on location recognition and product recognition. Mobile instance re- trieval requires a significant reduction in the visual index size. To achieve this, we describe a set of strategies that can reduce the visual index up to 60-80 compared to a standard instance retrieval implementation found on desk- tops or servers. While our proposed reduction steps affect the overall mean Average Precision (mAP), they are able to maintain a good Precision for the top K results ( P K ). We argue that for such offline application, maintaining a good P K is sufficient. The effectiveness of this approach is demonstrated on several standard databases. A working application designed for a remote historical site is also pre- sented. This application is able to reduce an 50,000 image index structure to 25 MBs while providing a precision of 97 % for P 10 and 100 % for P 1 Full paper: pdf Centre for Visual Information Technology |
||||||||
Copyright © 2009 - IIIT Hyderabad. All Rights Reserved. |