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MULTIMEDIA SYSTEMS

MULTIMEDIA SYSTEMS. CBIR & CBVR. Schedule. Image Annotation (CBIR) Video Annotation (CBVR) Few Project Ideas. CBIR. Content-based image retrieval  ( CBIR ) (Color, Shape and Texture) Demo. CBVR. Content Based Video Retrieval – 3 steps

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MULTIMEDIA SYSTEMS

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  1. MULTIMEDIA SYSTEMS CBIR & CBVR

  2. Schedule • Image Annotation (CBIR) • Video Annotation (CBVR) • Few Project Ideas

  3. CBIR • Content-based image retrieval (CBIR) (Color, Shape and Texture) Demo

  4. CBVR Content Based Video Retrieval – 3 steps • Feature Extraction (Color, Shape & Texture) • Temporal Analysis Motion Feature space (Usually data is available in video format e.g. MPEG, Make use of this information. Or you can figure out you own information) • Indexing (Semantic web) • References http://viper.unige.ch/~marchand/CBVR/

  5. Demo • Face Recognition • Image Retrieval

  6. Software & Tools Feature Extraction • Oracle 11g • OpenCV, Java Advanced Imaging API • Matlab Toolkits Storage • Google File System (Hadoop) Map Reduce Sematic Web • Jena , Protégé Crawlers • Arale , Arachnid

  7. Projects Face recognition (Demo) Given a set of training face images find the most probable face classification. You have matlab toolkit, OpenCV to help you. Techniques to use are SVM, HMM, Neural Networks. Image Annotation using various techniques Classify a set of features (For example ) Video Annotation Semantic Annotation Keyword refinement

  8. Note of Caution • Be aware of the semantic gap.

  9. Sancho Sebastine Email: sancho.nitw@gmail.com

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