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Lecture BSc Multimedia - Chapter 15: Content-based retrieval

Chapter 15: Content-based retrieval. This chapter presents the following content: Motivation, traditional techniques, how do humans compare images? Content-based image retrieval, image retrieval, CBIR framework example, image/audio fingerprints,. | CM3106 Chapter 15 Content-Based Retrieval Prof David Marshall dave.marshall@cs.cardiff.ac.uk and Dr Kirill Sidorov K.Sidorov@cs.cf.ac.uk www.facebook.com kirill.sidorov CARDIFF UNIVERSITY PRIFYSCOL CAERpv School of Computer Science Informatics Cardiff University UK Motivation Suppose we want to search a multimedia database. Applications Medicine find similar diagnostic images. Crime find person according to mugshot fingerprints sketch or verbal description. Art search museum collection of paintings. Copyright who used my images without permission Retail find shoes similar to these ones only red. CM3106 Chapter 15 CBR Image Retrieval 1 Traditional Techniques Text-based multimedia search and retrieval Annotations metadata . File names. Keywords. Captions. Surrounding text. Photography conditions. Geo tags. Creation date. Verbal portrait in the police database. Usually does a very good job provided the annotations are accurate and detailed. E.g. google image search youtube video search. Disadvantages Manual annotation requires vast amount of labour. Different people may perceive the contents of images differently no objectivity in keywords annotations. CM3106 Chapter 15 CBR Image Retrieval