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Course Detail

Course Name Content Based Image and Video Retrieval
Course Code 18CS713
Program
Credits Coimbatore
Year Taught 2018

Syllabus

Course Syllabus

Architecture and Design: Introduction – Architecture of content-based image and video retrieval – Designing an image retrieval system – Designing a video retrieval system. Feature extraction and similarity measure: Color – Texture – Shape – Spatial relationships – MPEG 7 features. Video Indexing and understanding- Query Language for multimedia search- Relevance feedback- Semantic based retrieval – Trademark image retrieval- Standards relevant to Content based image retrieval- Query Specification – Metadata description. Content based video Retrieval: Feature extraction – Semantics understanding -Summarization – Indexing and retrieval of video, Case studies and applications.

Course Outcome

At the end of the course the students will be able to

Course Outcome Bloom’s Taxonomy Level
CO 1 Understand the modules involved in designing CBIVR systems and their applications L2
CO 2 Extract different visual features from images and videos L4
CO 3 Understand query specification and evaluate the retrieval L4
CO 4 Understand indexing and the semantics of visual data L3
CO 5 Develop and evaluate visual retrieval algorithms L6, L5

Text Books / References

  1. Oge Marques and Borko Furht, “Content Based Image and Video Retrieval”, Multimedia Systems and Applications, Springer, 2002.
  2. Lew, Michael S, “Principles of Visual Information Retrieval”, Advances in Pattern recognition, Springer, 2001.
  3. Image Databases: Search and Retrieval of Digital Imagery , by Vittorio Castelli and Lawrence D. Bergman, Wiley-Interscience, 2001.

References

‘Content Based Image and Video Retrieval’ is an elective course offered in M. Tech., in Computer Science and Engineering program at School of Engineering, Amrita Vishwa Vidyapeetham.

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