CMP
233:
Multimedia
Data Processing and Management (Graduate Course, Second Semester)
OBJECTIVES:
COURSE OUTLINE:
Introduction
to Multimedia: multimedia environments, multimedia objects, multimedia databases,
multimedia applications (tele-conferencing, video-on-demand, etc.), multimedia
networking, examples and
problems
Image Compression : introduction to image compression (PCM, Huffman, Run-Length, Predictive), transform-based compression (DFT, DCT, Haar, K-L,Wavelet, Vector Quantization), JPEG, overview of JPEG2000, examples and problems.
Video Compression : motion estimation, hybrid DCT-MC video coding, overview of MPEG-1 standard, MPEG-2 scalable coding, H.26x, image/video analysis, temporal segmentation, object-based coding in MPEG-4, MPEG-7, examples and problems.
Processing of Uncompressed and Compressed Video : hierarchical video partitioning, video retrieval, examples and problems.
Representation and Retrieval of Visual Content : feature extraction, color, texture, shape, spatial relationships, semantics, examples and problems.
Multimedia Information Retrieval : content-based retrieval, Boolean, vector, probabilistic models, examples and problems.
Indexing Methods : primary and secondary key access methods, spatial access methods, examples and problems.
Dimensionality Reduction and Information
Retrieval: Karhunen-Loeve (K-L), Singular Value Decomposition (SVD),
other approaches, examples and
problems.
BIBLIOGRAPHY:
1. "Video and Image Processing in Multimedia Systems''. B. Furht; S. Q. Smolliar; H. Zhang. Kluwer Academic Publishers, 1996.
2. "Searching Multimedia Databases by Content". C. Faloutsos. Kluwer Academic Publishers, 1996.
3. "Visual Information Retrieval''. A. Del Bimbo. Morgan Kaufmann, 1999.
4. "Modern Information Retrieval". R. Baeza-Yates; B. Ribeiro-Neto. Addison Wesley 1999.
5.
"Video
Processing and Communications". Y. Wang; J. Ostermann;Y. Zhang.
Prentice Hall, 2002.
6. "Computer Vision". L. Shapiro; G. C. Stockman. Prentice-Hall, 2001.
7.
Selected papers.
Hours/Week: 4
Credits: 4