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Course Catalog 2010-2011
SGN-5507 Multimedia Analysis and Retrieval, 5-8 cr |
Person responsible
Murat Birinci, Serkan Kiranyaz, Esin Guldogan
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Attendance and completion of 70% Exercises (= 3cu) Exercises and Final Exam (=5 cu) Total (5+3 = 8 cu)
Learning outcomes
Upon completion of this course, the students shall learn: * the current approaches for searching, browsing, and mining various types of multimedia data such as images, audio and video (audiovisual data). * methods from machine learning and computer vision to these problems. * a broad range of techniques that will be studied including multimedia features, video analysis and management, retrieval techniques, spatial indexing methods, long-term learning and Relevance Feedback, audio analysis and retrieval, semantic-based retrieval techniques.
Evaluation criteria for the course
Assignments/Exercises : 25% Final Exam : 75% Project Work (optional) : 10%
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Introduction to MPEG-7 | B. S. Manjunath | 0471 48678 7 | English | |||
| Book | Multimedia Information Retrieval and Management | D. Feng et al. | English | ||||
| Lecture slides | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
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More precise information per implementation
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