Lecturer: Dr. Hermann Kroll
Assistant: Denis Nagel
Classification: Master
Credits: 4 or 5 (depending on examination rules)
Regular Dates: Tuesday, 9:45-12:15 in IZ161 (starting on 15.10.2024)
The lecture will be held live and additionally will be recorded. The videos will be shared here. Material and videos are available at StudIP.
In this course, we examine the aspects regarding building multimedia database systems and give an insight into the used techniques. The course deals with content-specific retrieval of multimedia data. Basic issue is the efficient storage and subsequent retrieval of multimedia documents.
The general structure of the course is:
Books
[CB02] Vittorio Castelli and Lawrence D. Bergman, editors. Image Databases. Search and Retrieval of Digital Imagery. Wiley, 2002. [ .html ]
[BR99] Ricardo Baeza-Yates and Berthier Ribeiro-Neto. Modern Information Retrieval. Addison-Wesley, 1999. [ http ]
[Par75] Denys Parsons. The Directory of Tunes and Musical Themes. Spencer Brown, 1975.
[Sch05] Ingo Schmitt. Ähnlichkeitssuche in Multimedia-Datenbanken. Retrieval, Suchalgorithmen und Anfragebehandlung. Oldenbourg, 2005. [ http ]
[vR79] Cornelis Joost van Rijsbergen. Information Retrieval. Butterworths, second edition, 1979. [ .html ]
Papers
Note: Many of the following documents are available for download free of charge, through the university network. The ones that are not free of charge can be obtained as printed versions from the university library.
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[BC94] Donald J. Berndt and James Clifford. Using dynamic time warping to find patterns in time series. In Usama M. Fayyad and Ramasamy Uthurusamy, editors, Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, pages 359-370. AAAI Press, 1994.
[BDF+97] Daniel Barbará, William DuMouchel, Christos Faloutsos, Peter J. Haas, Jospeh M. Hellerstein, Yannis Ioannidis, Hosagrahar V. Jagadish, Theodore Johnson, Raymond Ng, Viswanath Poosala, Kenneth A. Ross, and Kenneth C. Sevcik. The new jersey data reduction report. Bulletin of the Technical Committee on Data Engineering, 20(4):3-42, 1997. [ .pdf ]
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[BKK96] Stefan Berchtold, Daniel A. Keim, and Hans-Peter Kriegel. The X-tree: An index structure for high-dimensional data. In T. M. Vijayaraman, Alejandro P. Buchmann, Chandrasekaran Mohan, and Nandlal L. Sarda, editors, Proceedings of 22th International Conference on Very Large Data Bases (VLDB 1996), pages 28-39. Morgan Kaufmann, 1996. [ .html ]
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[CMVZ94] Guido Cortelazzo, Gian A. Mian, G. Vezzi, and Piero Zamperoni. Trademark shapes description by string-matching techniques. Pattern Recognition, 27(8):1005-1018, 1994. [ DOI ]
[CPZ97] Paolo Ciaccia, Marco Patella, and Pavel Zezula. M-tree: An efficient access method for similarity search in metric spaces. In Matthias Jarke, Michael J. Carey, Klaus R. Dittrich, Frederick H. Lochovsky, Pericles Loucopoulos, and Manfred A. Jeusfeld, editors, Proceedings of 23th International Conference on Very Large Data Bases (VLDB 1997), pages 426-435. Morgan Kaufmann, 1997. [ .html ]
[CZ03] Sen-ching Samson Cheung and Avideh Zakhor. Efficient video similarity measurement with video signature. IEEE Transactions on Circuits and Systems for Video Technology, 13(1):59-74, 2003. [ DOI ]
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[Ege97] Max J. Egenhofer. Query processing in spatial-query-by-sketch. Journal of Visual Languages and Computing, 8(4):403-424, 1997. [ DOI ]
[EN94] William Equitz and Wayne Niblack. Retrieving images from a database using texture. Algorithms from the QBIC system. Technical Report RJ-9805, IBM Almaden Research Center, 1994.
[Fal95] Christos Faloutsos. Fast searching by content in multimedia databases. Bulletin of the Technical Committee on Data Engineering, 18(4):31-40, 1995. [ .pdf ]
[FL95] Christos Faloutsos and King-Ip Lin. FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. In Michael J. Carey and Donovan A. Schneider, editors, Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data (SIGMOD 1995), pages 163-174. ACM Press, 1995. [ DOI ]
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[GLCS95] Asif Ghias, Jonathan Logan, David Chamberlin, and Brian C. Smith. Query by humming: Musical information retrieval in an audio database. InProceedings of the 3rd ACM International Conference on Multimedia (ACM MM 1995), pages 231-236. ACM Press, 1995. [ DOI ]
[Gol73] Julius L. Goldstein. An optimum processor theory for the central formation of the pitch of complex tones. Journal of the Acoustical Society of America, 54(6):1496-1516, 1973. [ DOI ]
[GR69] Bernard Gold and Lawrence R. Rabiner. Parallel processing techniques for estimating pitch periods of speech in the time domain. Journal of the Acoustical Society of America, 46(2). [ DOI ]
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[HCP95] Wynne Hsu, Tat-Seng Chua, and Hung Keng Pung. An integrated color-spatial approach to content-based image retrieval. In Proceedings of the 3rd ACM International Conference on Multimedia (ACM Multimedia 1995), pages 305-313. ACM Press, 1995. [ DOI ]
[HK92] Kyoji Hirata and Toshikazu Kato. Query by visual example—content based image retrieval. In Alain Pirotte, Claude Delobel, and Georg Gottlob, editors,Advances in Database Technology. Proceedings of the 3rd International Conference on Extending Database Technology (EDBT 1992), volume 580 of Lecture Notes in Computer Science, pages 56-71. Springer, 1992. [ DOI ]
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[KNSYK00] Naoko Kosugi, Yuichi Nishihara, Tetsuo Sakata, Masashi Yamamuro, and Kazuhiko Kushima. A practical query-by-humming system for a large music database. In Proceedings of the 8th ACM International Conference on Multimedia (ACM MM 2000), pages 333-342. ACM Press, 2000. [ DOI ]
[KS00] Hajime Kobayashi and Tetsuya Shimamura. A weighted autocorrelation method for pitch extraction of noisy speech. In Proceedings of the 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), volume 3, pages 1307-1310. IEEE, 2000. [ DOI ]
[KWT88] Michael Kass, Andrew Witkin, and Demetri Terzopoulos. Snakes: Active contour models. International Journal of Computer Vision, 1(4):321-331, 1988. [ DOI ]
[LH98] Guojun Lu and Templar Hankinson. A technique towards automatic audio classification and retrieval. In Proceedings of the 4th International Conference on Signal Processing (ICSP 1998), volume 2, pages 1142-1145. IEEE, 1998. [ DOI ]
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[MJ92] Jianchang Mao and Anil K. Jain. Texture classification and segmentation using multiresolution simultaneous autoregressive models. Pattern Recognition, 25(2):173-188, 1992. [ DOI ]
[MJC95] Jianhao Meng, Yujen Juan, and Shih-Fu Chang. Scene change detection in an MPEG compressed video sequence. In Arturo A. Rodriguez, Robert J. Safranek, and Edward J. Delp, editors, Digital Video Compression: Algorithms and Technologies 1995, volume 2419 of Proceedings of SPIE, pages 14-25. SPIE, 1995. [ DOI ]
[MM97] Wei-Ying Ma and B. S. Manjunath. Edge Flow: A framework of boundary detection and image segmentation. In Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 744-749. IEEE Computer Society, 1997. [ DOI ]
[MS90] Marcel Mongeau and David Sankoff. Comparison of musical sequences. Computers and the Humanities, 24(3):161-175, 1990. [ DOI ]
[Nol69] A. Michael Noll. Pitch determination of human speech by the harmonic product spectrum, the harmonic sum spectrum, and a maximum likelihood estimate. In Jerome Fox, editor, Proceedings of the Symposium on Computer Processing in Communications, volume 19 of Microwave Research Institute Symposia Series, pages 779-797. Polytechnic Press of the Polytechnic Institute of Brooklyn, 1969.
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[PLE01] Silvia Pfeiffer, Rainer Lienhart, and Wolfgang Efflsberg. Scene determination based on video and audio features. Multimedia Tools and Applications, 15(1):59-81, 2001. [ DOI ]
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[RBK98] Henry A. Rowley, Shumeet Baluja, and Takeo Kanade. Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1):23-38, 1998. [ DOI ]
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[RL93] A. Ravishankar Rao and Gerald L. Lohse. Identifying high level features of texture perception. CVGIP: Graphical Models and Image Processing, 55(3):218-233, 1992. [ DOI ]
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