1 / 5

Efficient Image Querying in Diverse Applications

Develop tools to search and index multimedia data by content within image databases for various domains. Plan includes feature extraction, database creation, and image comparison using software tools like Matlab and Java. Learn about image analysis, retrieval, and clustering. Schedule involves poster and paper presentations, software implementation, and team meetings. Results include implementing algorithms in Java for query by image content.

twyla
Télécharger la présentation

Efficient Image Querying in Diverse Applications

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Problem Query image by content in an image database

  2. 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.

  3. 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

  4. 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

  5. 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

More Related