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