1. Mining real world data Multi media data mining

2. Multimedia Data Mining Multimedia data types –any type of information medium that can be represented, processed, stored and transmitted over network in digital form –Multi-lingual text, numeric, images, video, audio, graphical, temporal, relational, and categorical data. –Relation with conventional data mining term 2

3. Motivation - applications: Images Medical/biological images biometrics/security satellite image analysis photo collections museum images logos And many more

4. Motivation - applications: Video surveillance TV news processing 3-d images (medical / biological) 3-d and 4-d datasets (x,y,z, time, temp., humidity etc) - weather/environment monitoring

5. Motivation - applications: Time sequences Financial, sales, economic series Medical (ECGs/EKGs, monitoring) civil infrastructure; automobile traffic monitoring

6. Applications/Fields Mining spatio temporal data. Mining anamoly in moving objects. Mining spatial data. Similarity search in multimedia data such as images and videos.

7. Examples: Similarity search problem Sub-cellular protein localization patterns