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

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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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Citation Formats

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.