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IMOTION Searching for Video Sequences using Multi Shot Sketch Queries
Date
2016-02-10
Author
Rossetto, Luca
Giangreco, Ivan
Heller, Silvan
Tanase, Claudiu
Schuldt, Heiko
Seddati, Omar
Dupont, Stephane
Sezgin, Tevfik Metin
Altıok, Ozan
Sahillioğlu, Yusuf
Metadata
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This paper presents the second version of the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. Ever since, IMOTION has supported the search for video sequences on the basis of still images, user-provided sketches, or the specification of motion via flow fields. For the second version, the functionality and the usability of the system have been improved. It now supports multiple input images (such as sketches or still frames) per query, as well as the specification of objects to be present within the target sequence. The results are either grouped by video or by sequence and the support for selective and collaborative retrieval has been improved. Special features have been added to encapsulate semantic similarity.
Subject Keywords
Action recognition
,
Query image
,
Convolutional neural network
,
Query specification
,
Visual query
URI
https://hdl.handle.net/11511/87216
DOI
https://doi.org/10.1007/978-3-319-27674-8_36
Conference Name
22nd International Conference, MMM 2016
Collections
Department of Computer Engineering, Conference / Seminar
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L. Rossetto et al., “IMOTION Searching for Video Sequences using Multi Shot Sketch Queries,” Miami, FL, USA, 2016, p. 377, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/87216.
