Some of the topics that I skimmed through in the classes are covered in much greated details in the following set of notes by Professors Ze-Nian Li and Mark S. Drew of Simon Fraser Univeristy. Their wonderful book Fundamentals of Multimedia, Prentice Hall, 2003, will soon be put on reserve.
You can also read more about the latest advances in video coding in the following articles:
The survey report by Ed Greengrass in 2000 is probably a bit overkill for this course but it provides a comprehensive review of the entire field of text infomation retrieval.
Some of the basic text IR concepts are introduced in the following
V. Gudivada et al. Information Retrieval on the World Wide Web. IEEE Internet Computing Magazine. September-October 1997. Pages 58-68.
Text IR on the web has made a lot of progress from that depicted in
the previous article. For a more up-to-date review, read the following
article. We will come back later to some of the statistical concepts
introduced in this paper.
S. Chakrabarti. Data mining for hypertext: A tutorial survey. SIGKDD Explorations, 1:1--11,2000
M. Flickner. Query by Image and Video Content: The QBIC System
T. Gevers, Color In Image Search Engines.
Greg Pass Ramin Zabih, Justin Miller, Comparing Images Using Color Coherence Vectors
N. Sebe and M.S. Lew, Texture Features for Content-Based Retrieval.
B.S. Manjunath et. al. Color and Texture Descriptors.
T. Sikora. The MPEG-7 Visual Standard for Content Description - An Overview
S. Loncaric. A survey of shape analysis.
D. Zhang and G. Lu. Review of shape representation and description techniques
Y. Rubner, C. Tomasi, L.J. Guibas. The Earth Mover's Distance as a metric for image retrieval. E. Levina and P. Bickel. The Earth Mover's Distance is the Mallows Distance: Some Insights from Statistivcs.
Cheung, S.-C. and A. Zakhor. 2003. Efficient video similarity measurement with video signature. In IEEE Transactions on Circuits, and Systems for Video Technology. Piscataway. NJ:IEEE. 13 (1):59-74.
R. Lienhart. Comparison of Automatic shot boundary detection algorithms
I. Koprinska and S. Carrato. Temporal Video Segmentation: A Survey.
S. Lefvre, J. Holler and N. Vincent. A review of real-time segmentaiton of uncompressed video sequences for content-based search and retrieval
J. S. Boreczky and L. D. Wilcox. A Hidden markov model framework for video segmentation using audio and image features
N. Vasconcelos and A. Lippman. Statistical Models of Video Structure for Content Analysis and Characterization.
This paper is not on shot-boundary detection but a technique to extract DC-images from compressed MPEG-2 stream.
J. Song and B.-L. Yeo. Fast Extraction of Spatially Reduced Image Sequences from MPEG-2 Compressed Video
Also I highly recommend looking around the TREC Video Retrieval Evaluation website.
S. Satoh, Y. Nakamura, and T. Kanade. 1999. Name-It: Naming and Detecting Faces in News Videos
M. I. Jordan. Chapter Chapter 10 (just 10.1) and Chapter 11 in his upcoming book "An Introduction to Probabilistic Graphical Models".
C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition, Journal of Data Mining and Knowledge Discovery, pp. 121-167, 1998.
M. Crucianu, M. Fereacatu, N. Boujemaa, Relevance Feedback for Image Retrieval: A short survey
N. Roy and A. McCallum, Toward Optimal Active Learning through Sampling Estimation of Error Reduction.
S. Tong and E. Chang. Support vector machine active learning for image retrieval. Proceedings of ACM International Conference on Multimedia, pages 107, 2001.
V.S. Subrahmanian. Principles of Multimedia Database Systems (reserved in library)
V. Castelli, "Multidimensional Indexing Structures for Content-Based Retrieval," in Image Databases: Search and Retrieval of Digital Imagery. (handout in class)
C. Bohm, S. Berchtold, D. A. Keim, Searching in High-dimensional spaces - index structures for improving the performance of multimedia databases, ACM Computing Surveys. 2001.
S. Roweis, L. K. Saul, Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science, Vol. 290, December 2000.
G.R. Hjaltason, H. Samet, Properties of Embedding Methods for Similarity Searching in Metric Spaces. PAMI Vol. 25, No. 5, May 2003.
F. Hartung and M. Kutter, Multimedia Watermarking Techniques
G. Doerr, J.-L. Dugelay, A guide tour of video watermarking
A. Sequeira and D. Kundur, Communication and Information Theory in Watermarking: A Survey