image based information retrival application of iPhone I Image

1. Image Based Information
Retrieval Application for
the iPhone
(i Image)
Presented By,
Maulik Patel

2. Introduction
• It is process of getting relevant information about object through app.
• The market for smart phones, along with the market for their
applications is growing tremendously.
• It use iPhone's supported APIs , as well as MPEG7 feature extraction
tools.

3. Key Innovation
• Many application available which use image processing.
• Example – snaptell
• But totally advanced intent in iImage.
• iImage use GPS technique.
• It is more efficient and accurate.

4. Basic Usage Description
• Captured photo through application.
• After internal processing photo and its related information returned
to user.
• In order to database grow application can provide features to user
add more data..
• Its also available for desktop computer.

5. Application Example
• Snaptell
• Tour guide
• Astrologer
• Face reader
And some funny application also available related to this application.

6. Technical Solution
• The image processing concept and algorithm used by iImage is based
on MPEG7 and Open CV.
• It uses -:
 Image gloabal feature
Image local feature
Time of day
Gps coordinator

7. Step of Working
• Image queried to global database
• Checking Color histogram of object
• Image queried to local database
Its uses tools
Radio based finger printing
Scale invariant feature transform
 Finally user get result

8. Challange
• Initial database expansion
• Application expansion

9. Business Merits
• low development cost and a high potential profit.
• Free application but service charge as per provider.

10. References
• iImage specification in IEEE CCNC 2010
• iPhone SDK , http://developer.apple.com/iphone
• MPEG7specifications,http://www.chiariglione.org/mpeg/standards/mpeg7/mpeg-7.htm
• OpenCV documentation and source code,
http://sourceforge.net/projects/opencvlibrary/files/opencvdoc/
• Snaptell, http://snaptell.com

11. Thank you