IMOTION — A Content-based video retrieval engine

Date

2015-01-05

Author

Rossetto, Luca
Giangreco, Ivan
Schuldt, Heiko
Dupont, Stephane
Seddati, Omar
Sezgin, Metin
Sahillioğlu, Yusuf

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper introduces the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. For vector space retrieval, the IMOTION system exploits a large variety of low-level image and video features, as well as high-level spatial and temporal features that can all be jointly used in any combination. In addition, it supports dedicated motion features to allow for the specification of motion within a video sequence. For query specification, the IMOTION system supports query-by-sketch interactions (users provide sketches of video frames), motion queries (users specify motion across frames via partial flow fields), query-by-example (based on images) and any combination of these, and provides support for relevance feedback.

Subject Keywords

Relevance Feedback , Retrieval Mode , Query Object , Video Shot , Extraction Module

URI

https://hdl.handle.net/11511/56193

DOI

https://doi.org/10.1007/978-3-319-14442-9_24

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

L. Rossetto et al., “IMOTION — A Content-based video retrieval engine,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56193.