Innosummer project 1/2010: Sensor Assisted Image Tagging

Background and Motivation
Current camera applications on mobile phones, such as the Nokia N900, allow adding textual tags to images after taking a picture. In addition, users may be able to add geotags which describe the location. This project will look beyond the conventional textual tags. In the future, it is possible that some information of your environment and activity can be obtained automatically from sensory data collected by the mobile phone.

Project Goal
This project will implement a camera application on Nokia N900 which tags images with rich context information obtained from a context recognition engine. The team's goal is to implement a mobile camera application which suggests tags based on rich context information collected from mobile phone sensors. And optionally carry out user trials on the application.

Development tools, environments and standards
The company partner Nokia Research Center will provide a context recognition engine software package that detects the user's environment (restaurant, street, nature) and activity (idle, walking, in a train, in a car). The software is implemented on the Nokia N900 using e.g. C language and Qt. Development phones will also be provided.

Time period
The project constitutes full-time work for the project team between 24.5 - 31.8.2010.

Interaction between stakeholder and project team
The work will mainly be done at the Demola 'office' in Tampere, Finlayson. There will be regular meetings with the company partner and the team members. There will also be other forms of communication and guidance available to the team. The team will report the work by writing a team blog on the Demola website.

Support (supervision & financial)
Demola staff will supervise the reports and by the end of each month the team will also write a one page summary of the reported project actions, methods used, implemented software, and results.