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Problem. Query image by content in an image database. Motivation.

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Presentation Transcript
Problem

Problem

Query image by content in an image database


Motivation

Motivation

Image databases are becoming more and more common and larger in several distinct application domains, such as: multimedia search engines, digital libraries, art, medical, geographic, criminal investigation. There is a need to develop efficient tools for searching (indexing) and browsing the multimedia data by content.


Plan of attack
Plan of attack

  • Ideas

    • extract features from the query image (color, texture, shape, position, regions)

    • create a database, indexing the pictures

    • compare the query image to images from database, releaving similarities

  • Tools

    • Matlab, Jasc Photoshop, Java, DBMS

  • Things to learn

    • Image analysis, Image retrieval, comparing features, clusterizing images (SOM), Java, SQL


Schedule
Schedule

  • Poster - 1st October 2003

  • Paper - 1st November 2003

  • Software implementation starts on 1st October 2003

  • Team meetings - twice a week, on Tuesdays and Saturdays

  • 3 subgroups: research, implementation and documentation


Results
Results

  • Good knowledge in image analysis applied in image retrieval, query by content

  • Algorithms (Matlab, Java) for query-by-image-content field

  • Try to implement these algorithms in Java application


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