Course Schedule  (with links to presentations under topics/names)

Date (Tuesday)

Topics / Presenters

Jan 30

Introduction, Related Topics & Course Organization (pdf)

Feb 6

Overview of Multimedia Data Compression ( pdf )

Feb 13

Overview of Multimedia Data Mining ( pdf )

Feb 20

No class meet. Please work offline and select your reading topics

Feb 27

Dr. Greg Arnold and Ms. Olga Mendoza: Challenges in Image Understanding

March 6

Fast Forward: Each student presents 8 minutes, plus 2 minutes discussions

March 13

Reading Presentations: Bicer, Bilgin, Demir (30 minutes each)

March 20

Reading Presentations: Feng, Molina, Wang (30 minutes each)

March 27

Reading Presentations: Chowdhury, Koc, Tang (30 minutes each)

April 1 - 10

Spring Recess. Relax and get ready for your project presentations

April 17

Project Presentations: Bicer, Demir (60 minutes each)

April 24

Project Presentations: Bilgin, Feng (60 minutes each)

May 1

Project Presentations: Tang (60 minutes each); Intro. to Multimodal Surveillance

May 8

Project Presentations: Wang, Koc (60 minutes each)

May 15

Project Presentations: Molina, Chowdhury (60 minutes each)

 

Reading Topics (with links to fast forward presentations under names)

Student Name

Reading Topics

Bicer, Mehmet

Text compression and text mining;

Knowledge discovery in databases (KDD)

Bilgin, Zeki

Audio compression & mining;

Applications in audio/video surveillance

Chowdhury, Sadat

Mining text, web and bioinformatics data;

Soft computing (e.g. genetic programming) in data compression

Demir, Omer

Associate rules in data mining

Applications in forensic computing

Feng, Yi

Principal component analysis (PCA) & content-based image retrieval (CBIR);

Appearance based robotics and applications in multi-robot collaboration

Koc, Ali

DCT, DWT, DFT-based coding;

Image coding, video coding and watermarking

Molina, Edgardo

3D shape representation;

Graphics retrieval and mining

Tang, Hao

Clustering in data mining; expectation-maximization (EM) algorithms;

Motion segmentation, layer representation and object tracking

Wang, Tao

Classification in data mining; support vector machine (SVM);

Multimodal object classification with audio, video and thermal data

Zhu, Lei

Multimedia information retrieval

Data mining for news clustering with audio, video and text data