1. Multimedia Retrieval Organization 2013/14, term 1 Remco Veltkamp

2. Lecturer Prof. dr. Remco Veltkamp Chair: Multimedia Media Technologie: –Image Retrieval –3D Object Retrieval –3D Scene analysis –Music retrieval –Video analysis Room BBL-479, R.C.Veltkamp@uu.nl

3. Schedule Ca. 11 lectures/topics Mondays 17.00 - 18.45, BBG-023 Thursdays 9.00 - 10.45, BBL-079 Practical Assignment

4. Grading Written exam: 50% Assignment: 50% Pass if average at least 6, and parts at least 4 Retake exam only if original final grade is at least a 4 Form of retake: written exam and/or additional assignment

5. Exam Motivation: MM retrieval requires critical amount of knowledge About the topics discussed in all lectures Slides are available Make your own notes (academic skill)

6. Literature M. Lew (ed.). Principles of Visual Information Retrieval. Springer 2001. Backgroud: D. Feng, W.C. Siu, H.J. Zhang. Multimedia Information Retrieval and Management, Technological Fundamentals and Applications Springer 2003. A. del Bimbo. Visual Information Retrieval. Morgan Kaufmann 1999. C. Faloutsos. Searching Multimedia Databases by Content. Kluwer 1996. T. Gevers. Image Search Engines. Conference course at CVPR (Computer Vision and Pattern Recognition) 2001. (Some of the slides are taken from this course.) O. Marques, B. Furht. Content-Based Image and Video Retrieval. Kluwer 2002. R. Veltkamp, M. Tanase. Content-Based Image Retrieval Systems Survey. http://give-lab.cs.uu.nl/ http://give-lab.cs.uu.nl/ R. Veltkamp, H. Burkhardt, H.-P. Kriegel. State-of-the-Art in Content-Based Image and Video Retrieval. Kluwer 2001.

7. Assignments Motivation: MM retrieval requires practical experience Feature extraction, feature matching, performance comparison This year: 3D model retrieval

8. MM@UU Shape-based image retrieval: Logo retrieval: project Profi (Perceptually-relevant Retrieval of Figurative Images) Part-based retrieval: project Mindshade (Matching and Indexing through Shape Decomposition) Shape-based retrieval: project Shame (Shame Matching Environment) 3D Model retrieval: SHREC (3D Shape Retrieval Contests) Project FOCUS-K3D (Foster the Comprehension and Use of Knowledge-intensive 3D-media ) Project AIM@SHAPE (Advanced Innovative Modeling of Shape)

9. MM@UU Music retrieval: Project COGITCH (COgnition Guided Interoperability beTween Collections of musical Heritage) Project Musiva (Musical similarity through variational principle) Project Witchcraft (What Is Topical in Cultural Heritage: Content-based Retrieval Among Folksong Tunes) Project C-Minor (Cognition-based Music Information Notation Oriented Retrieval) Project Orpheus (On-line Retrieval from Polyhymnia: the Human-oriented Experimental Utrecht Searcher Indexing: Project AMIS (Advanced Multimedia Indexing and Searching)

10. Media Technology Lab Graphic workstations Gaming devices Digital video and photo camera Video editing software 3D shutter glasses Web and file server 3D scanners (2) Fingerprint scanners Motion capture, synched video cameras (eye tracker) (video wall)