Multimedia Information Retrieval

Introduction

    This course covers two major aspects of multimedia technology, namely the representation of text and image for information retrieval and the indexing structures in information retrieval. In particular, the popular technologies for text and visual data representation will be discussed. The recent technologies in multimedia information retrieval will be discussed as well. Moreover, the nearest neighbor search techniques in the big data context are also extensively covered.

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Course Code: 15504, Lecturer: Dr. Wan-Lei Zhao
Syllabus and Slides
        Lecture 1: Introduction [slides]
        Lecture 2: Document Retrieval: the Model [slides]
        Lecture 3: Document Retrieval: searching [slides]
        Lecture 4: Miscellaneous Techniques behind IR [slides] [Assignment-1]
        Lecture 5: Clustering [slides] [Assignment-2]
        Lecture 6: Fundamentals about Image Processing [slides]
        Lecture 7: Image Features [slides]
        Lecture 8: Feature Matching and Aggregation [slides] [Assignment-3]
        Lecture 9: Nearest Neighbor Search [slides] [Assignment-4]
        Lecture 10: Visual Instance Search [slides]
        Course Project: Product quantizer for Nearest Neighbor Search [project document]
Slides maintained on GitHub